Minneapolis_Tripadvisor_Hotel_Review_Sentimental_Analysis.ipynb

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    "colab": {
      "name": "Minneapolis Tripadvisor Hotel Review Sentimental Analysis.ipynb",
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  "cells": [
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      "cell_type": "markdown",
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      "source": [
        "<a href=\"https://colab.research.google.com/github/maxxx580/tripadvisor-hotel-reviews/blob/master/Minneapolis_Tripadvisor_Hotel_Review_Sentimental_Analysis.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
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    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "NHlmc-vA1mG_",
        "colab_type": "text"
      },
      "source": [
        "# Minneapolis Tripadvisor Hotel Review Sentimental Analysis"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "IuW5JdJqC5nu",
        "colab_type": "text"
      },
      "source": [
        "# Data "
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "62Vg0Rjp0YS6",
        "colab_type": "code",
        "outputId": "89999b64-7bcf-40b1-c265-e98b318294f8",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 530
        }
      },
      "source": [
        "!pip install wget\n",
        "!pip install wordcloud\n",
        "!pip install twython "
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Collecting wget\n",
            "  Downloading https://files.pythonhosted.org/packages/47/6a/62e288da7bcda82b935ff0c6cfe542970f04e29c756b0e147251b2fb251f/wget-3.2.zip\n",
            "Building wheels for collected packages: wget\n",
            "  Building wheel for wget (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for wget: filename=wget-3.2-cp36-none-any.whl size=9681 sha256=2979629e81de1a64502c5d139e6974fe5156371c0d29578ca21ef9bf9a09eea7\n",
            "  Stored in directory: /root/.cache/pip/wheels/40/15/30/7d8f7cea2902b4db79e3fea550d7d7b85ecb27ef992b618f3f\n",
            "Successfully built wget\n",
            "Installing collected packages: wget\n",
            "Successfully installed wget-3.2\n",
            "Requirement already satisfied: wordcloud in /usr/local/lib/python3.6/dist-packages (1.5.0)\n",
            "Requirement already satisfied: numpy>=1.6.1 in /usr/local/lib/python3.6/dist-packages (from wordcloud) (1.17.4)\n",
            "Requirement already satisfied: pillow in /usr/local/lib/python3.6/dist-packages (from wordcloud) (4.3.0)\n",
            "Requirement already satisfied: olefile in /usr/local/lib/python3.6/dist-packages (from pillow->wordcloud) (0.46)\n",
            "Collecting twython\n",
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            "Requirement already satisfied: requests>=2.1.0 in /usr/local/lib/python3.6/dist-packages (from twython) (2.21.0)\n",
            "Requirement already satisfied: requests_oauthlib>=0.4.0 in /usr/local/lib/python3.6/dist-packages (from twython) (1.3.0)\n",
            "Requirement already satisfied: urllib3<1.25,>=1.21.1 in /usr/local/lib/python3.6/dist-packages (from requests>=2.1.0->twython) (1.24.3)\n",
            "Requirement already satisfied: idna<2.9,>=2.5 in /usr/local/lib/python3.6/dist-packages (from requests>=2.1.0->twython) (2.8)\n",
            "Requirement already satisfied: chardet<3.1.0,>=3.0.2 in /usr/local/lib/python3.6/dist-packages (from requests>=2.1.0->twython) (3.0.4)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.6/dist-packages (from requests>=2.1.0->twython) (2019.9.11)\n",
            "Requirement already satisfied: oauthlib>=3.0.0 in /usr/local/lib/python3.6/dist-packages (from requests_oauthlib>=0.4.0->twython) (3.1.0)\n",
            "Building wheels for collected packages: twython\n",
            "  Building wheel for twython (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for twython: filename=twython-3.7.0-cp36-none-any.whl size=31995 sha256=eb8f403dc575e914567a1631232f5a529dafdd1b1ca14a44ce6a3201180d0f99\n",
            "  Stored in directory: /root/.cache/pip/wheels/c2/b0/a3/5c4b4b87b8c9e4d99f1494a0b471f0134a74e5fb33d426d009\n",
            "Successfully built twython\n",
            "Installing collected packages: twython\n",
            "Successfully installed twython-3.7.0\n"
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          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "3rlLEXArDM8z",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "from nltk.sentiment import SentimentAnalyzer\n",
        "from nltk.sentiment.vader import SentimentIntensityAnalyzer\n",
        "from nltk.sentiment.util import *\n",
        "from nltk import tokenize\n",
        "from nltk.corpus import stopwords\n",
        "from nltk.tag import PerceptronTagger\n",
        "from nltk.data import find\n",
        "from nltk.tokenize import RegexpTokenizer\n",
        "from nltk.stem import WordNetLemmatizer \n",
        "from nltk.stem.porter import PorterStemmer\n",
        "from tqdm import tqdm\n",
        "import matplotlib.pyplot as plt\n",
        "from collections import Counter\n",
        "from wordcloud import WordCloud\n",
        "import sklearn.metrics as metrics\n",
        "import numpy as np\n",
        "import pandas as pd\n",
        "import seaborn as sns\n",
        "%matplotlib inline\n",
        "import sklearn\n",
        "import random\n",
        "import wget\n",
        "import os\n",
        "import nltk\n",
        "import math\n",
        "import re"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Hu6mfmMmiPqx",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "random.seed(73)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "HWhHTPkA4wnB",
        "colab_type": "code",
        "outputId": "3ae416e0-8fcb-4442-9f37-290039f49f35",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 170
        }
      },
      "source": [
        "nltk.download('vader_lexicon')\n",
        "nltk.download('stopwords')\n",
        "nltk.download('wordnet')\n",
        "nltk.download('averaged_perceptron_tagger')"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "[nltk_data] Downloading package vader_lexicon to /root/nltk_data...\n",
            "[nltk_data] Downloading package stopwords to /root/nltk_data...\n",
            "[nltk_data]   Unzipping corpora/stopwords.zip.\n",
            "[nltk_data] Downloading package wordnet to /root/nltk_data...\n",
            "[nltk_data]   Unzipping corpora/wordnet.zip.\n",
            "[nltk_data] Downloading package averaged_perceptron_tagger to\n",
            "[nltk_data]     /root/nltk_data...\n",
            "[nltk_data]   Unzipping taggers/averaged_perceptron_tagger.zip.\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "True"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 4
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "-dG3khHFCvZR",
        "colab_type": "code",
        "outputId": "10e6266d-c253-42fd-91d2-0b9c608160c0",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 102
        }
      },
      "source": [
        "wget.download(\"https://github.com/maxxx580/tripadvisor-hotel-reviews/archive/master.zip\")\n",
        "!unzip tripadvisor-hotel-reviews-master.zip\n",
        "REVIEWS_DIR = \"tripadvisor-hotel-reviews-master\"\n",
        "REVIEWS_FILE = 'reviews.csv'\n",
        "!ls {REVIEWS_DIR}"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Archive:  tripadvisor-hotel-reviews-master.zip\n",
            "58d2f77acc842e80814b336a084bf0b3d9e5c7e4\n",
            "   creating: tripadvisor-hotel-reviews-master/\n",
            "  inflating: tripadvisor-hotel-reviews-master/reviews.csv  \n",
            "reviews.csv\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "lxVLHB9V1mHF",
        "colab_type": "code",
        "outputId": "166e1679-70c2-4c1b-d8d2-782d02a795c1",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 204
        }
      },
      "source": [
        "fields = ['file_name', 'hotel_name', 'review', 'score', 'sentiment']\n",
        "reviews_df = pd.read_csv(os.path.join(REVIEWS_DIR, REVIEWS_FILE), names=fields)\n",
        "reviews_df = reviews_df.drop('file_name', 1)\n",
        "reviews_df.tail()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
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              "\n",
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              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>hotel_name</th>\n",
              "      <th>review</th>\n",
              "      <th>score</th>\n",
              "      <th>sentiment</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>3321</th>\n",
              "      <td>Hyatt Regency Minneapolis</td>\n",
              "      <td>\"The staff was friendly, efficient and informa...</td>\n",
              "      <td>4</td>\n",
              "      <td>positive</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3322</th>\n",
              "      <td>Hyatt Regency Minneapolis</td>\n",
              "      <td>\"Purchased a Deluxe King Room.  Was given a De...</td>\n",
              "      <td>1</td>\n",
              "      <td>negative</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3323</th>\n",
              "      <td>Hyatt Regency Minneapolis</td>\n",
              "      <td>\"Stayed here during a business trip.  Have sta...</td>\n",
              "      <td>5</td>\n",
              "      <td>positive</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3324</th>\n",
              "      <td>Hyatt Regency Minneapolis</td>\n",
              "      <td>\"This is a very nice hotel. Spacious, clean ro...</td>\n",
              "      <td>4</td>\n",
              "      <td>positive</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3325</th>\n",
              "      <td>Hyatt Regency Minneapolis</td>\n",
              "      <td>\"We live in Connecticut. We were in for our da...</td>\n",
              "      <td>3</td>\n",
              "      <td>negative</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                     hotel_name  ... sentiment\n",
              "3321  Hyatt Regency Minneapolis  ...  positive\n",
              "3322  Hyatt Regency Minneapolis  ...  negative\n",
              "3323  Hyatt Regency Minneapolis  ...  positive\n",
              "3324  Hyatt Regency Minneapolis  ...  positive\n",
              "3325  Hyatt Regency Minneapolis  ...  negative\n",
              "\n",
              "[5 rows x 4 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "V3O5jD2-1mHn",
        "colab_type": "code",
        "outputId": "ac3681ba-b665-4263-b3cb-8ef04582f3ec",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 595
        }
      },
      "source": [
        "num_hotels = len(reviews_df.hotel_name.unique())\n",
        "print(\"number of hotel parsed: %d\" % num_hotels)\n",
        "reviews_df.hotel_name.unique()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "number of hotel parsed: 50\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array(['Embassy Suites by Hilton Minneapolis Downtown',\n",
              "       'W Minneapolis - The Foshay',\n",
              "       'Hampton Inn and Suites Minneapolis University Area',\n",
              "       '300 Clifton', 'AC Hotel Minneapolis Downtown', 'Hewing Hotel',\n",
              "       'Radisson Red Minneapolis', 'Emery Hotel, Autograph Collection',\n",
              "       'Doubletree by Hilton Minneapolis - University Area',\n",
              "       'Aloft Minneapolis', 'LeBlanc House Bed and Breakfast',\n",
              "       'Evelo&#39;s Bed and Breakfast', 'Alma Hotel', 'University Inn',\n",
              "       'Minneapolis International Hostel', 'Lakeland Inn',\n",
              "       'Snelling Motel', 'Aqua City Motel', 'The Wales House',\n",
              "       'Hilton Minneapolis', 'Hilton Garden Inn Minneapolis Downtown',\n",
              "       'Holiday Inn Express Minneapolis Downtown (Convention Center)',\n",
              "       'InterContinental Minneapolis - St. Paul Airport',\n",
              "       'Luminn Hotel Minneapolis', 'Moxy Minneapolis Uptown',\n",
              "       'Elliot Park Hotel, Autograph Collection',\n",
              "       'Delta Hotels by Marriott Minneapolis Northeast',\n",
              "       'Canopy by Hilton Minneapolis Mill District',\n",
              "       'Stay Alfred on 2nd Street', 'Stay Alfred on South 4th Street',\n",
              "       'Stay Alfred at The Paxon', 'Stay Alfred at Soo Line',\n",
              "       'Moxy Minneapolis Downtown', 'Nicollet Island Inn',\n",
              "       'The Grand Hotel Minneapolis a Hyatt Affiliate Hotel',\n",
              "       'Renaissance Minneapolis Hotel, The Depot',\n",
              "       'Residence Inn Minneapolis Downtown at The Depot',\n",
              "       'TownePlace Suites Minneapolis Downtown/North Loop',\n",
              "       'Loews Minneapolis Hotel', 'Oakwood at Symphony Place',\n",
              "       'Sheraton Minneapolis Midtown Hotel',\n",
              "       'Le Meridien Chambers Minneapolis', 'The Westin Minneapolis',\n",
              "       'Hampton Inn &amp; Suites Minneapolis/Downtown',\n",
              "       'Best Western Plus The Normandy Inn &amp; Suites',\n",
              "       'Days Hotel by Wyndham University Ave SE',\n",
              "       'Hyatt Place Minneapolis/Downtown', 'Crowne Plaza Northstar',\n",
              "       'Courtyard by Marriott Minneapolis Downtown',\n",
              "       'Hyatt Regency Minneapolis'], dtype=object)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "_kfIMO3-aW-X",
        "colab_type": "code",
        "outputId": "a46f3e07-f320-4fbd-8209-0cc9670e51ff",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 884
        }
      },
      "source": [
        "reviews_df[\"hotel_name\"].value_counts()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Le Meridien Chambers Minneapolis                                100\n",
              "Embassy Suites by Hilton Minneapolis Downtown                   100\n",
              "Hyatt Place Minneapolis/Downtown                                100\n",
              "Loews Minneapolis Hotel                                         100\n",
              "Hilton Garden Inn Minneapolis Downtown                          100\n",
              "Hewing Hotel                                                    100\n",
              "Holiday Inn Express Minneapolis Downtown (Convention Center)    100\n",
              "Residence Inn Minneapolis Downtown at The Depot                 100\n",
              "Best Western Plus The Normandy Inn &amp; Suites                 100\n",
              "Hilton Minneapolis                                              100\n",
              "Doubletree by Hilton Minneapolis - University Area              100\n",
              "AC Hotel Minneapolis Downtown                                   100\n",
              "Renaissance Minneapolis Hotel, The Depot                        100\n",
              "TownePlace Suites Minneapolis Downtown/North Loop               100\n",
              "Emery Hotel, Autograph Collection                               100\n",
              "Nicollet Island Inn                                             100\n",
              "The Westin Minneapolis                                          100\n",
              "Sheraton Minneapolis Midtown Hotel                              100\n",
              "Days Hotel by Wyndham University Ave SE                         100\n",
              "Radisson Red Minneapolis                                        100\n",
              "Courtyard by Marriott Minneapolis Downtown                      100\n",
              "Crowne Plaza Northstar                                          100\n",
              "Hyatt Regency Minneapolis                                       100\n",
              "Hampton Inn &amp; Suites Minneapolis/Downtown                   100\n",
              "W Minneapolis - The Foshay                                      100\n",
              "Aloft Minneapolis                                               100\n",
              "University Inn                                                  100\n",
              "Hampton Inn and Suites Minneapolis University Area              100\n",
              "The Grand Hotel Minneapolis a Hyatt Affiliate Hotel             100\n",
              "Canopy by Hilton Minneapolis Mill District                       83\n",
              "InterContinental Minneapolis - St. Paul Airport                  72\n",
              "Moxy Minneapolis Uptown                                          35\n",
              "Luminn Hotel Minneapolis                                         35\n",
              "Minneapolis International Hostel                                 25\n",
              "LeBlanc House Bed and Breakfast                                  20\n",
              "The Wales House                                                  20\n",
              "Snelling Motel                                                   20\n",
              "Delta Hotels by Marriott Minneapolis Northeast                   20\n",
              "Elliot Park Hotel, Autograph Collection                          20\n",
              "300 Clifton                                                      15\n",
              "Alma Hotel                                                       15\n",
              "Aqua City Motel                                                   8\n",
              "Moxy Minneapolis Downtown                                         7\n",
              "Evelo&#39;s Bed and Breakfast                                     7\n",
              "Stay Alfred on South 4th Street                                   5\n",
              "Stay Alfred at The Paxon                                          5\n",
              "Oakwood at Symphony Place                                         5\n",
              "Stay Alfred on 2nd Street                                         4\n",
              "Lakeland Inn                                                      3\n",
              "Stay Alfred at Soo Line                                           2\n",
              "Name: hotel_name, dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 8
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "GEU18mYydnMY",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "reviews_df = reviews_df.groupby('hotel_name').filter(lambda x : len(x)>=20)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "tDrGufv50yvX",
        "colab_type": "text"
      },
      "source": [
        "Compute average Vader sentiment and average ground truth rating per hotel.  "
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "lQX7NIri1mHq",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "def evalSentences(sentences):\n",
        "    sid = SentimentIntensityAnalyzer()\n",
        "    pdlist = []\n",
        "    for sentence in tqdm(sentences):\n",
        "        ss = sid.polarity_scores(sentence)\n",
        "        pdlist.append(ss['compound'])\n",
        "    return pdlist"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "rBtmwH8izhsO",
        "colab_type": "code",
        "outputId": "3771324b-a68f-4158-9310-cac6c8873d43",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 306
        }
      },
      "source": [
        "reviews_df['vader_sentiment'] = evalSentences(reviews_df.review)\n",
        "reviews_df['sentiment'] = [1 if x == 'positive' else -1 for x in reviews_df.sentiment]\n",
        "reviews_df.tail()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "100%|██████████| 3250/3250 [00:03<00:00, 863.19it/s]\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
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              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>hotel_name</th>\n",
              "      <th>review</th>\n",
              "      <th>score</th>\n",
              "      <th>sentiment</th>\n",
              "      <th>vader_sentiment</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>3321</th>\n",
              "      <td>Hyatt Regency Minneapolis</td>\n",
              "      <td>\"The staff was friendly, efficient and informa...</td>\n",
              "      <td>4</td>\n",
              "      <td>1</td>\n",
              "      <td>0.8381</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3322</th>\n",
              "      <td>Hyatt Regency Minneapolis</td>\n",
              "      <td>\"Purchased a Deluxe King Room.  Was given a De...</td>\n",
              "      <td>1</td>\n",
              "      <td>-1</td>\n",
              "      <td>-0.6369</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3323</th>\n",
              "      <td>Hyatt Regency Minneapolis</td>\n",
              "      <td>\"Stayed here during a business trip.  Have sta...</td>\n",
              "      <td>5</td>\n",
              "      <td>1</td>\n",
              "      <td>0.9752</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3324</th>\n",
              "      <td>Hyatt Regency Minneapolis</td>\n",
              "      <td>\"This is a very nice hotel. Spacious, clean ro...</td>\n",
              "      <td>4</td>\n",
              "      <td>1</td>\n",
              "      <td>0.2484</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3325</th>\n",
              "      <td>Hyatt Regency Minneapolis</td>\n",
              "      <td>\"We live in Connecticut. We were in for our da...</td>\n",
              "      <td>3</td>\n",
              "      <td>-1</td>\n",
              "      <td>-0.4005</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                     hotel_name  ... vader_sentiment\n",
              "3321  Hyatt Regency Minneapolis  ...          0.8381\n",
              "3322  Hyatt Regency Minneapolis  ...         -0.6369\n",
              "3323  Hyatt Regency Minneapolis  ...          0.9752\n",
              "3324  Hyatt Regency Minneapolis  ...          0.2484\n",
              "3325  Hyatt Regency Minneapolis  ...         -0.4005\n",
              "\n",
              "[5 rows x 5 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 11
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "fa5RpP0w9J3P",
        "colab_type": "code",
        "outputId": "17584c71-de0c-4566-d3e2-a9271722d880",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 714
        }
      },
      "source": [
        "reviews_df.groupby('hotel_name').mean().score"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "hotel_name\n",
              "AC Hotel Minneapolis Downtown                                   4.460000\n",
              "Aloft Minneapolis                                               3.870000\n",
              "Best Western Plus The Normandy Inn &amp; Suites                 4.480000\n",
              "Canopy by Hilton Minneapolis Mill District                      4.433735\n",
              "Courtyard by Marriott Minneapolis Downtown                      4.200000\n",
              "Crowne Plaza Northstar                                          3.560000\n",
              "Days Hotel by Wyndham University Ave SE                         3.600000\n",
              "Delta Hotels by Marriott Minneapolis Northeast                  4.200000\n",
              "Doubletree by Hilton Minneapolis - University Area              3.750000\n",
              "Elliot Park Hotel, Autograph Collection                         4.250000\n",
              "Embassy Suites by Hilton Minneapolis Downtown                   4.380000\n",
              "Emery Hotel, Autograph Collection                               3.850000\n",
              "Hampton Inn &amp; Suites Minneapolis/Downtown                   4.240000\n",
              "Hampton Inn and Suites Minneapolis University Area              4.650000\n",
              "Hewing Hotel                                                    4.330000\n",
              "Hilton Garden Inn Minneapolis Downtown                          4.530000\n",
              "Hilton Minneapolis                                              3.730000\n",
              "Holiday Inn Express Minneapolis Downtown (Convention Center)    4.150000\n",
              "Hyatt Place Minneapolis/Downtown                                4.250000\n",
              "Hyatt Regency Minneapolis                                       4.060000\n",
              "InterContinental Minneapolis - St. Paul Airport                 3.736111\n",
              "Le Meridien Chambers Minneapolis                                4.400000\n",
              "LeBlanc House Bed and Breakfast                                 4.800000\n",
              "Loews Minneapolis Hotel                                         4.460000\n",
              "Luminn Hotel Minneapolis                                        4.085714\n",
              "Minneapolis International Hostel                                2.920000\n",
              "Moxy Minneapolis Uptown                                         3.200000\n",
              "Nicollet Island Inn                                             4.280000\n",
              "Radisson Red Minneapolis                                        4.150000\n",
              "Renaissance Minneapolis Hotel, The Depot                        4.120000\n",
              "Residence Inn Minneapolis Downtown at The Depot                 4.240000\n",
              "Sheraton Minneapolis Midtown Hotel                              3.410000\n",
              "Snelling Motel                                                  3.450000\n",
              "The Grand Hotel Minneapolis a Hyatt Affiliate Hotel             4.380000\n",
              "The Wales House                                                 4.650000\n",
              "The Westin Minneapolis                                          4.030000\n",
              "TownePlace Suites Minneapolis Downtown/North Loop               3.900000\n",
              "University Inn                                                  4.320000\n",
              "W Minneapolis - The Foshay                                      4.210000\n",
              "Name: score, dtype: float64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 12
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "tS0nOA_cANoA",
        "colab_type": "text"
      },
      "source": [
        " \n",
        "Rank hotels by average ground truth sentiment"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "UNvp39-OANAl",
        "colab_type": "code",
        "outputId": "cc3258ab-d423-48df-d118-294edd8eee5f",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 235
        }
      },
      "source": [
        "hotel_average = reviews_df.groupby('hotel_name').mean()\n",
        "hotel_average.sort_values(by=['score']).tail()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>score</th>\n",
              "      <th>sentiment</th>\n",
              "      <th>vader_sentiment</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>hotel_name</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>Best Western Plus The Normandy Inn &amp;amp; Suites</th>\n",
              "      <td>4.48</td>\n",
              "      <td>0.82</td>\n",
              "      <td>0.791786</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Hilton Garden Inn Minneapolis Downtown</th>\n",
              "      <td>4.53</td>\n",
              "      <td>0.80</td>\n",
              "      <td>0.841146</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>The Wales House</th>\n",
              "      <td>4.65</td>\n",
              "      <td>0.80</td>\n",
              "      <td>0.946625</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Hampton Inn and Suites Minneapolis University Area</th>\n",
              "      <td>4.65</td>\n",
              "      <td>0.84</td>\n",
              "      <td>0.856227</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>LeBlanc House Bed and Breakfast</th>\n",
              "      <td>4.80</td>\n",
              "      <td>0.80</td>\n",
              "      <td>0.965125</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                                                    score  ...  vader_sentiment\n",
              "hotel_name                                                 ...                 \n",
              "Best Western Plus The Normandy Inn &amp; Suites      4.48  ...         0.791786\n",
              "Hilton Garden Inn Minneapolis Downtown               4.53  ...         0.841146\n",
              "The Wales House                                      4.65  ...         0.946625\n",
              "Hampton Inn and Suites Minneapolis University Area   4.65  ...         0.856227\n",
              "LeBlanc House Bed and Breakfast                      4.80  ...         0.965125\n",
              "\n",
              "[5 rows x 3 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 13
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "9FrHA0d6YdUN",
        "colab_type": "text"
      },
      "source": [
        "Average Vader Compound Sentiment Score"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "hfIB-3NPYIcS",
        "colab_type": "code",
        "outputId": "4b88a2f7-f3ec-48be-c0c4-c314bba84f36",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 235
        }
      },
      "source": [
        "hotel_average.sort_values(by=['vader_sentiment']).tail()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>score</th>\n",
              "      <th>sentiment</th>\n",
              "      <th>vader_sentiment</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>hotel_name</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>Delta Hotels by Marriott Minneapolis Northeast</th>\n",
              "      <td>4.20</td>\n",
              "      <td>0.7</td>\n",
              "      <td>0.866940</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Residence Inn Minneapolis Downtown at The Depot</th>\n",
              "      <td>4.24</td>\n",
              "      <td>0.7</td>\n",
              "      <td>0.885389</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>The Wales House</th>\n",
              "      <td>4.65</td>\n",
              "      <td>0.8</td>\n",
              "      <td>0.946625</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Elliot Park Hotel, Autograph Collection</th>\n",
              "      <td>4.25</td>\n",
              "      <td>0.7</td>\n",
              "      <td>0.949985</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>LeBlanc House Bed and Breakfast</th>\n",
              "      <td>4.80</td>\n",
              "      <td>0.8</td>\n",
              "      <td>0.965125</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                                                 score  ...  vader_sentiment\n",
              "hotel_name                                              ...                 \n",
              "Delta Hotels by Marriott Minneapolis Northeast    4.20  ...         0.866940\n",
              "Residence Inn Minneapolis Downtown at The Depot   4.24  ...         0.885389\n",
              "The Wales House                                   4.65  ...         0.946625\n",
              "Elliot Park Hotel, Autograph Collection           4.25  ...         0.949985\n",
              "LeBlanc House Bed and Breakfast                   4.80  ...         0.965125\n",
              "\n",
              "[5 rows x 3 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 14
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "8T6llG8iak7-",
        "colab_type": "text"
      },
      "source": [
        "Top 5 mean sentiment does not completely agree with top 5 mean vader sentiment. Only 2 hotel show up in both top 5 LeBlanc House Bed and Breakfast and The Wales House. "
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "dd6jRehRgkW1",
        "colab_type": "text"
      },
      "source": [
        "Use term frequency of the words for (i) positive reviews and (ii) negative with ground truth sentiment to rank the top-50 most frequent non-stopwords in the review collection. "
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "dpSipC0aAM2d",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "positive_reviews_df = reviews_df[reviews_df.sentiment == 1].copy()\n",
        "negative_reviews_df = reviews_df[reviews_df.sentiment == -1].copy()"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "1QloIbbzal4u",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "def review_tokennize(reviews):\n",
        "    tokenized = []\n",
        "    tokenizer = RegexpTokenizer('\\s+', gaps=True)\n",
        "    lemmatizer = WordNetLemmatizer()\n",
        "    stemmer = PorterStemmer()\n",
        "    for review in tqdm(reviews):\n",
        "        new_text = re.sub(r'[^A-Za-z0-9 \\s \\# \\@]+', '', review)\n",
        "        new_text = re.sub(r'\\d+', '', new_text)\n",
        "        new_text = re.sub(r'\\n', ' ', new_text)\n",
        "        new_text = new_text.lower()\n",
        "        new_text = re.sub(r'\\b(' + r'|'.join(stopwords.words('english')) + r')\\b\\s*', \n",
        "                          '', new_text)\n",
        "        new_text = [lemmatizer.lemmatize(token, 'v') for token in new_text.split()]\n",
        "        new_text = re.sub(r'\\b(' + r'|'.join(stopwords.words('english')) + r')\\b\\s*', \n",
        "                          '', ' '.join(new_text))\n",
        "        new_text = tokenizer.tokenize(new_text)\n",
        "        tokenized.append(new_text)\n",
        "    return tokenized\n",
        "\n",
        "def get_term_count(records):\n",
        "    cnt = Counter()\n",
        "    for record in tqdm(records):\n",
        "        cnt.update(record)\n",
        "    return cnt"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "0LnUfZ6zmgtD",
        "colab_type": "code",
        "outputId": "863755d2-1bc7-4885-fd35-5307c1fcc847",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 85
        }
      },
      "source": [
        "positive_reviews_df['tokenized_review'] = review_tokennize(positive_reviews_df.review)\n",
        "negative_reviews_df['tokenized_review'] = review_tokennize(negative_reviews_df.review)\n",
        "positive_counter = get_term_count(positive_reviews_df.tokenized_review.values)\n",
        "negative_counter = get_term_count(negative_reviews_df.tokenized_review.values)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "100%|██████████| 2511/2511 [00:03<00:00, 737.69it/s]\n",
            "100%|██████████| 739/739 [00:00<00:00, 1082.75it/s]\n",
            "100%|██████████| 2511/2511 [00:00<00:00, 91813.25it/s]\n",
            "100%|██████████| 739/739 [00:00<00:00, 54137.54it/s]\n"
          ],
          "name": "stderr"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "bXeJndLfXx94",
        "colab_type": "text"
      },
      "source": [
        "#### Positive word count"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "iqeWy6NgpR3G",
        "colab_type": "code",
        "outputId": "9d2bf9d1-2b97-46df-f548-cd150ddbfddf",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 867
        }
      },
      "source": [
        "positive_counter.most_common(50)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[('room', 2971),\n",
              " ('hotel', 2826),\n",
              " ('stay', 2252),\n",
              " ('great', 1694),\n",
              " ('staff', 1439),\n",
              " ('nice', 1116),\n",
              " ('clean', 1072),\n",
              " ('walk', 950),\n",
              " ('park', 862),\n",
              " ('location', 833),\n",
              " ('good', 825),\n",
              " ('would', 820),\n",
              " ('friendly', 751),\n",
              " ('breakfast', 740),\n",
              " ('get', 740),\n",
              " ('minneapolis', 739),\n",
              " ('downtown', 693),\n",
              " ('bed', 659),\n",
              " ('comfortable', 650),\n",
              " ('us', 646),\n",
              " ('service', 627),\n",
              " ('time', 589),\n",
              " ('go', 588),\n",
              " ('place', 549),\n",
              " ('also', 545),\n",
              " ('one', 544),\n",
              " ('area', 531),\n",
              " ('bar', 528),\n",
              " ('make', 526),\n",
              " ('well', 525),\n",
              " ('helpful', 518),\n",
              " ('check', 476),\n",
              " ('night', 475),\n",
              " ('desk', 455),\n",
              " ('like', 452),\n",
              " ('front', 422),\n",
              " ('need', 401),\n",
              " ('close', 394),\n",
              " ('really', 394),\n",
              " ('food', 381),\n",
              " ('restaurants', 378),\n",
              " ('recommend', 370),\n",
              " ('lobby', 368),\n",
              " ('lot', 367),\n",
              " ('love', 364),\n",
              " ('back', 355),\n",
              " ('restaurant', 353),\n",
              " ('take', 347),\n",
              " ('could', 336),\n",
              " ('use', 335)]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 18
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "UTijFPPyX655",
        "colab_type": "text"
      },
      "source": [
        "#### Negative word count"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "nJCdjzaJqnmn",
        "colab_type": "code",
        "outputId": "e97f4f5c-c6ef-409e-b027-7bd975a56c75",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 867
        }
      },
      "source": [
        "negative_counter.most_common(50)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[('room', 1349),\n",
              " ('hotel', 1053),\n",
              " ('stay', 691),\n",
              " ('get', 479),\n",
              " ('would', 412),\n",
              " ('one', 366),\n",
              " ('go', 359),\n",
              " ('desk', 351),\n",
              " ('staff', 323),\n",
              " ('front', 304),\n",
              " ('time', 303),\n",
              " ('night', 294),\n",
              " ('park', 289),\n",
              " ('check', 284),\n",
              " ('say', 275),\n",
              " ('good', 268),\n",
              " ('nice', 265),\n",
              " ('us', 264),\n",
              " ('clean', 263),\n",
              " ('bed', 250),\n",
              " ('like', 242),\n",
              " ('make', 235),\n",
              " ('service', 232),\n",
              " ('call', 231),\n",
              " ('ask', 228),\n",
              " ('tell', 225),\n",
              " ('even', 214),\n",
              " ('breakfast', 212),\n",
              " ('location', 210),\n",
              " ('need', 209),\n",
              " ('great', 196),\n",
              " ('give', 195),\n",
              " ('place', 194),\n",
              " ('could', 188),\n",
              " ('come', 183),\n",
              " ('also', 179),\n",
              " ('back', 177),\n",
              " ('leave', 175),\n",
              " ('area', 174),\n",
              " ('work', 167),\n",
              " ('walk', 166),\n",
              " ('bar', 160),\n",
              " ('find', 160),\n",
              " ('use', 158),\n",
              " ('take', 157),\n",
              " ('floor', 155),\n",
              " ('never', 151),\n",
              " ('next', 146),\n",
              " ('bathroom', 145),\n",
              " ('pay', 144)]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 19
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "9EiiMzU02IX-",
        "colab_type": "text"
      },
      "source": [
        "Positive reviews has a high frequency location term \"downtown\" and \"minneapolis\". Other aspects that are commonly being reviewed include cleanness, breakfast, parking, bed, and restaurants etc.    \n",
        "\n",
        "There is no location term shows up in negative review. Negative reviews focus on issues such as bathroom, cost, breakfast, bar,cleanness, etc.    \n",
        "\n",
        "In general, positive reviews has much higher term frequency than negative term (almost twice many), which is likely due to there are more positive review than negative ones. "
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "UOmqQSrqT7K1",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# citation: https://medium.com/greyatom/learning-pos-tagging-chunking-in-nlp-85f7f811a8cb\n",
        "# Noun Phrase Extraction Support Functions\n",
        "from nltk.corpus import stopwords\n",
        "stopwords_english = stopwords.words('english')\n",
        "lemmatizer = nltk.WordNetLemmatizer()\n",
        "stemmer = nltk.stem.porter.PorterStemmer()\n",
        "\n",
        "# generator, generate leaves one by one\n",
        "def leaves(tree):\n",
        "    \"\"\"Finds NP (nounphrase) leaf nodes of a chunk tree.\"\"\"\n",
        "    for subtree in tree.subtrees(filter = lambda t: t.label()=='NP' or t.label()=='JJ' or t.label()=='RB'):\n",
        "        yield subtree.leaves()\n",
        "\n",
        "# stemming, lematizing, lower case... \n",
        "def normalise(word):\n",
        "    \"\"\"Normalises words to lowercase and stems and lemmatizes it.\"\"\"\n",
        "    word = word.lower()\n",
        "    word = stemmer.stem(word)\n",
        "    word = lemmatizer.lemmatize(word)\n",
        "    return word\n",
        "\n",
        "# stop-words and length control\n",
        "def acceptable_word(word):\n",
        "    \"\"\"Checks conditions for acceptable word: length, stopword.\"\"\"\n",
        "    accepted = bool(2 <= len(word) <= 40\n",
        "        and word.lower() not in stopwords_english)\n",
        "    return accepted\n",
        "\n",
        "# generator, create item once a time\n",
        "def get_terms(tree):\n",
        "    for leaf in leaves(tree):\n",
        "        term = [normalise(w) for w,t in leaf if acceptable_word(w) ]\n",
        "        # Phrase only\n",
        "        if len(term)>1:\n",
        "            yield term\n",
        "\n",
        "def flatten(npTokenList):\n",
        "    finalList =[]\n",
        "    for phrase in npTokenList:\n",
        "        token = ''\n",
        "        for word in phrase:\n",
        "            token += word + ' '\n",
        "        finalList.append(token.rstrip())\n",
        "    return finalList\n",
        "\n",
        "def get_noun_phrases(tokenized_reviews):\n",
        "    noun_phrases = []\n",
        "    grammar = ('''NP: {<DT>?<JJ>*<NN>} # NP''')\n",
        "    grammar2 = ('''NP: {<DT>?<JJ>*<NN>} # NP''')\n",
        "    grammar3 = r\"\"\"\n",
        "    NBAR:\n",
        "        {<NN.*|JJ>*<NN.*>}  # Nouns and Adjectives, terminated with Nouns\n",
        "        \n",
        "    NP:\n",
        "        {<NBAR>}\n",
        "        {<NBAR><IN><NBAR>}  # Above, connected with in/of/etc...\n",
        "    \"\"\"\n",
        "    chunk_parser = nltk.RegexpParser(grammar3)\n",
        "\n",
        "    for review in tqdm(tokenized_reviews):\n",
        "        # sub = []\n",
        "        # review_tagged = nltk.pos_tag(review)\n",
        "        # for s_tree in chunk_parser.parse(review_tagged).subtrees():\n",
        "         #   if s_tree.label() == 'NP' or s_tree.label() == 'JJ' or s_tree.label() == 'RB':\n",
        "         #       sub.append(' '.join(leaf[0] for leaf in s_tree.leaves()))\n",
        "        temp = re.findall(r'\\w+', str(review))\n",
        "        noun_phrases.append(flatten([word for word in get_terms(chunk_parser.parse(nltk.pos_tag(temp))) ])) \n",
        "    return noun_phrases"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "b9N-7s-hqoIt",
        "colab_type": "code",
        "outputId": "e9b597d0-f855-4c91-eba0-62dded98682a",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 85
        }
      },
      "source": [
        "positive_noun_phrases = get_noun_phrases(positive_reviews_df.review.values)\n",
        "negative_noun_phrases = get_noun_phrases(negative_reviews_df.review.values)\n",
        "positive_noun_phrases_cnt = get_term_count(positive_noun_phrases)\n",
        "negative_noun_phrases_cnt = get_term_count(negative_noun_phrases)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "100%|██████████| 2511/2511 [00:14<00:00, 174.78it/s]\n",
            "100%|██████████| 739/739 [00:06<00:00, 121.21it/s]\n",
            "100%|██████████| 2511/2511 [00:00<00:00, 177900.67it/s]\n",
            "100%|██████████| 739/739 [00:00<00:00, 220470.21it/s]\n"
          ],
          "name": "stderr"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "e2vr7q2KyvxI",
        "colab_type": "code",
        "outputId": "7ca112d3-87d9-4947-98d2-7942fcb2a4d3",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 867
        }
      },
      "source": [
        "positive_noun_phrases_cnt.most_common(50)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[('front desk', 176),\n",
              " ('downtown minneapoli', 118),\n",
              " ('great locat', 113),\n",
              " ('light rail', 75),\n",
              " ('target field', 70),\n",
              " ('great place', 65),\n",
              " ('front desk staff', 56),\n",
              " ('u bank stadium', 55),\n",
              " ('convent center', 55),\n",
              " ('hot tub', 52),\n",
              " ('target center', 47),\n",
              " ('first time', 44),\n",
              " ('friendli staff', 43),\n",
              " ('hotel room', 42),\n",
              " ('nthe room', 41),\n",
              " ('twin game', 39),\n",
              " ('short walk', 38),\n",
              " ('nice hotel', 37),\n",
              " ('nthe hotel', 37),\n",
              " ('room servic', 35),\n",
              " ('minut walk', 34),\n",
              " ('hotel staff', 32),\n",
              " ('great stay', 31),\n",
              " ('great experi', 31),\n",
              " ('busi trip', 30),\n",
              " ('comfort bed', 30),\n",
              " ('great hotel', 29),\n",
              " ('twin citi', 29),\n",
              " ('hampton inn', 29),\n",
              " ('valet park', 27),\n",
              " ('top notch', 26),\n",
              " ('next day', 25),\n",
              " ('free park', 25),\n",
              " ('great time', 24),\n",
              " ('good locat', 24),\n",
              " ('night stay', 24),\n",
              " ('easi access', 23),\n",
              " ('good valu', 23),\n",
              " ('clean room', 23),\n",
              " ('downtown area', 23),\n",
              " ('shuttl servic', 23),\n",
              " ('custom servic', 23),\n",
              " ('park garag', 23),\n",
              " ('great restaur', 22),\n",
              " ('great view', 22),\n",
              " ('univers inn', 22),\n",
              " ('happi hour', 21),\n",
              " ('free breakfast', 21),\n",
              " ('st paul', 21),\n",
              " ('park lot', 21)]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 22
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "xFG9i0dwy9zS",
        "colab_type": "code",
        "outputId": "7a4c700b-ddef-4187-af30-10d4d282427e",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 867
        }
      },
      "source": [
        "negative_noun_phrases_cnt.most_common(50)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[('front desk', 167),\n",
              " ('next morn', 26),\n",
              " ('front desk staff', 21),\n",
              " ('custom servic', 21),\n",
              " ('downtown minneapoli', 20),\n",
              " ('nthe room', 19),\n",
              " ('good locat', 18),\n",
              " ('room servic', 17),\n",
              " ('next day', 17),\n",
              " ('free breakfast', 16),\n",
              " ('park lot', 16),\n",
              " ('great locat', 16),\n",
              " ('first night', 14),\n",
              " ('credit card', 12),\n",
              " ('nthe hotel', 12),\n",
              " ('pool area', 12),\n",
              " ('hotel room', 12),\n",
              " ('last time', 11),\n",
              " ('night stay', 11),\n",
              " ('hot water', 10),\n",
              " ('shuttl servic', 10),\n",
              " ('bar area', 9),\n",
              " ('hotel staff', 9),\n",
              " ('next time', 9),\n",
              " ('long time', 9),\n",
              " ('nice hotel', 8),\n",
              " ('good thing', 8),\n",
              " ('corner room', 8),\n",
              " ('secur guard', 8),\n",
              " ('mani peopl', 8),\n",
              " ('lobbi area', 8),\n",
              " ('last night', 8),\n",
              " ('staff member', 8),\n",
              " ('free park', 7),\n",
              " ('key card', 7),\n",
              " ('beauti hotel', 7),\n",
              " ('busi travel', 7),\n",
              " ('good hotel', 7),\n",
              " ('coffe maker', 7),\n",
              " ('hotel bar', 7),\n",
              " ('counter space', 7),\n",
              " ('u bank stadium', 7),\n",
              " ('light rail', 7),\n",
              " ('hotel manag', 7),\n",
              " ('differ room', 7),\n",
              " ('phone call', 7),\n",
              " ('hotel stay', 7),\n",
              " ('air condition', 7),\n",
              " ('modern room', 7),\n",
              " ('water pressur', 7)]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 23
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "qSbrfJJP2Fjo",
        "colab_type": "text"
      },
      "source": [
        "Noun phrase is more infomative than the words. In positive reviews, there are location term like downtown minneapoli, target field, us bank stadium, and target center. it is reasonable to concludes that traveller likes the hotel because of their location, great amenities such as hot tub, and service like free airport shuttle or free breakfast. \n",
        "\n",
        "Location term downtown minneapoli and us bank stadium also frequently shows up in negative reviews. Traveller dislike the hotel mostly because of bad experience interacting with hotel staff. Interestedly, some terms with positive sentiment also shows un such as good hote or great location. "
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "gxQ7cveXMNq7",
        "colab_type": "text"
      },
      "source": [
        "Use mutual information (MI) with ground truth sentiment to rank the top-50 most sentiment- bearing non-stopwords in the review collection."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Myw0YtPxeI8L",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "def sample_vocabulary(total, topk=2000, low_sample_rate=0.1):\n",
        "    topk_terms = total.most_common(topk)\n",
        "    low_freq_terms = [x for x in total if x not in topk_terms]\n",
        "    return [*topk_terms] + random.sample(low_freq_terms,\n",
        "                                         math.floor(len(low_freq_terms)*low_sample_rate))"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "8SRTLZtOzBR-",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "def create_sentiments2terms(df, topk, column):\n",
        "    records = []\n",
        "    for tokens in tqdm(df[column].values):\n",
        "        token_set = set(tokens)\n",
        "        records.append([1 if w in token_set else 0 for w in topk])\n",
        "    terms_df = pd.DataFrame(records, columns=topk)\n",
        "    return pd.concat([df[['sentiment']], terms_df], axis=1)\n",
        "\n",
        "\n",
        "def getMI(topk, df, label_column='sentiment'):\n",
        "    miScore = []\n",
        "    for word in tqdm(topk):\n",
        "        miScore.append([word]+[metrics.mutual_info_score(df[label_column], df[word])])\n",
        "    miScoredf = pd.DataFrame(miScore).sort_values(1,ascending=0)\n",
        "    miScoredf.columns = ['Word','MI Score']\n",
        "    return miScoredf"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "UbYFB5RpNszN",
        "colab_type": "code",
        "outputId": "356db6ba-26bd-482a-c11a-104b6e6a83c7",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        }
      },
      "source": [
        "reviews_df['tokenized_review'] = review_tokennize(reviews_df.review.values)\n",
        "noun_vocabulary = [*get_term_count(reviews_df.tokenized_review.values)]\n",
        "words_sentiments_df = create_sentiments2terms(reviews_df, noun_vocabulary, 'tokenized_review')\n",
        "word_mi_df = getMI(noun_vocabulary, words_sentiments_df)\n",
        "word_mi_df.sort_values(by=['MI Score']).tail(50)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "100%|██████████| 3250/3250 [00:02<00:00, 1324.56it/s]\n",
            "100%|██████████| 3250/3250 [00:00<00:00, 80065.13it/s]\n",
            "100%|██████████| 3250/3250 [00:03<00:00, 1019.75it/s]\n",
            "100%|██████████| 11468/11468 [00:17<00:00, 649.58it/s]\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Word</th>\n",
              "      <th>MI Score</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>549</th>\n",
              "      <td>excellent</td>\n",
              "      <td>0.023627</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>166</th>\n",
              "      <td>around</td>\n",
              "      <td>0.023733</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>49</th>\n",
              "      <td>one</td>\n",
              "      <td>0.023807</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>138</th>\n",
              "      <td>us</td>\n",
              "      <td>0.023845</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>52</th>\n",
              "      <td>go</td>\n",
              "      <td>0.023859</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15</th>\n",
              "      <td>close</td>\n",
              "      <td>0.023921</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>301</th>\n",
              "      <td>lobby</td>\n",
              "      <td>0.023948</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>84</th>\n",
              "      <td>back</td>\n",
              "      <td>0.023953</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>62</th>\n",
              "      <td>small</td>\n",
              "      <td>0.023956</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1017</th>\n",
              "      <td>river</td>\n",
              "      <td>0.024099</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>240</th>\n",
              "      <td>right</td>\n",
              "      <td>0.024239</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>109</th>\n",
              "      <td>like</td>\n",
              "      <td>0.024244</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>143</th>\n",
              "      <td>easy</td>\n",
              "      <td>0.024310</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>118</th>\n",
              "      <td>service</td>\n",
              "      <td>0.024379</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>169</th>\n",
              "      <td>place</td>\n",
              "      <td>0.024412</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>150</th>\n",
              "      <td>area</td>\n",
              "      <td>0.024414</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>136</th>\n",
              "      <td>minneapolis</td>\n",
              "      <td>0.024429</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23</th>\n",
              "      <td>restaurants</td>\n",
              "      <td>0.024451</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>751</th>\n",
              "      <td>little</td>\n",
              "      <td>0.024479</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>353</th>\n",
              "      <td>food</td>\n",
              "      <td>0.024868</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>235</th>\n",
              "      <td>love</td>\n",
              "      <td>0.024881</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>179</th>\n",
              "      <td>need</td>\n",
              "      <td>0.024903</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>78</th>\n",
              "      <td>could</td>\n",
              "      <td>0.025176</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>470</th>\n",
              "      <td>bed</td>\n",
              "      <td>0.025207</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>247</th>\n",
              "      <td>view</td>\n",
              "      <td>0.025303</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>59</th>\n",
              "      <td>get</td>\n",
              "      <td>0.025345</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>comfortable</td>\n",
              "      <td>0.025550</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>287</th>\n",
              "      <td>desk</td>\n",
              "      <td>0.025592</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>527</th>\n",
              "      <td>bar</td>\n",
              "      <td>0.025737</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2467</th>\n",
              "      <td>university</td>\n",
              "      <td>0.025749</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>307</th>\n",
              "      <td>park</td>\n",
              "      <td>0.025980</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>90</th>\n",
              "      <td>time</td>\n",
              "      <td>0.026161</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>201</th>\n",
              "      <td>really</td>\n",
              "      <td>0.026246</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>167</th>\n",
              "      <td>downtown</td>\n",
              "      <td>0.026495</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>beautiful</td>\n",
              "      <td>0.026583</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>274</th>\n",
              "      <td>well</td>\n",
              "      <td>0.026657</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>82</th>\n",
              "      <td>would</td>\n",
              "      <td>0.026997</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>19</th>\n",
              "      <td>location</td>\n",
              "      <td>0.027300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>28</th>\n",
              "      <td>good</td>\n",
              "      <td>0.027319</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>144</th>\n",
              "      <td>walk</td>\n",
              "      <td>0.027509</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>961</th>\n",
              "      <td>restaurant</td>\n",
              "      <td>0.027681</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>48</th>\n",
              "      <td>friendly</td>\n",
              "      <td>0.028065</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>760</th>\n",
              "      <td>coffee</td>\n",
              "      <td>0.028416</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>191</th>\n",
              "      <td>nice</td>\n",
              "      <td>0.028545</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>133</th>\n",
              "      <td>clean</td>\n",
              "      <td>0.028976</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>hotel</td>\n",
              "      <td>0.029140</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>46</th>\n",
              "      <td>staff</td>\n",
              "      <td>0.029364</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>38</th>\n",
              "      <td>stay</td>\n",
              "      <td>0.029532</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>room</td>\n",
              "      <td>0.029750</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>18</th>\n",
              "      <td>great</td>\n",
              "      <td>0.029806</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "             Word  MI Score\n",
              "549     excellent  0.023627\n",
              "166        around  0.023733\n",
              "49            one  0.023807\n",
              "138            us  0.023845\n",
              "52             go  0.023859\n",
              "15          close  0.023921\n",
              "301         lobby  0.023948\n",
              "84           back  0.023953\n",
              "62          small  0.023956\n",
              "1017        river  0.024099\n",
              "240         right  0.024239\n",
              "109          like  0.024244\n",
              "143          easy  0.024310\n",
              "118       service  0.024379\n",
              "169         place  0.024412\n",
              "150          area  0.024414\n",
              "136   minneapolis  0.024429\n",
              "23    restaurants  0.024451\n",
              "751        little  0.024479\n",
              "353          food  0.024868\n",
              "235          love  0.024881\n",
              "179          need  0.024903\n",
              "78          could  0.025176\n",
              "470           bed  0.025207\n",
              "247          view  0.025303\n",
              "59            get  0.025345\n",
              "1     comfortable  0.025550\n",
              "287          desk  0.025592\n",
              "527           bar  0.025737\n",
              "2467   university  0.025749\n",
              "307          park  0.025980\n",
              "90           time  0.026161\n",
              "201        really  0.026246\n",
              "167      downtown  0.026495\n",
              "8       beautiful  0.026583\n",
              "274          well  0.026657\n",
              "82          would  0.026997\n",
              "19       location  0.027300\n",
              "28           good  0.027319\n",
              "144          walk  0.027509\n",
              "961    restaurant  0.027681\n",
              "48       friendly  0.028065\n",
              "760        coffee  0.028416\n",
              "191          nice  0.028545\n",
              "133         clean  0.028976\n",
              "2           hotel  0.029140\n",
              "46          staff  0.029364\n",
              "38           stay  0.029532\n",
              "10           room  0.029750\n",
              "18          great  0.029806"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 26
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "9bx75frg5T7u",
        "colab_type": "text"
      },
      "source": [
        "There are a few location related terms such as downtown, minneapolis, university and river. Most of the high MI unigram, such as clean, friendly, or beautiful reveals positive sentiments. None of these terms reveals obvious negative sentiments.    \n",
        "\n",
        "Based on these high MI unigrams, it is reasonable to conclude that traveller likes the hotel because of the friendly staff, location, and good food. "
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ewyuc6bMDMLl",
        "colab_type": "text"
      },
      "source": [
        "Repeat this analysis for the top-50 noun phrases and note any interesting results"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Wu9RA1P9DOb6",
        "colab_type": "code",
        "outputId": "c700c6be-80de-4e21-8065-50f230f47824",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        }
      },
      "source": [
        "reviews_df['noun_phrases'] = get_noun_phrases(reviews_df.tokenized_review.values)\n",
        "noun_phrase_volcabulary = [*get_term_count(reviews_df.noun_phrases.values)]\n",
        "noun_phrases_sentiments_df = create_sentiments2terms(reviews_df, noun_phrase_volcabulary, 'noun_phrases')\n",
        "noun_phrase_mi_df = getMI(noun_phrase_volcabulary, noun_phrases_sentiments_df)\n",
        "noun_phrase_mi_df.sort_values(by=['MI Score']).tail(50)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "100%|██████████| 3250/3250 [00:15<00:00, 207.05it/s]\n",
            "100%|██████████| 3250/3250 [00:00<00:00, 197574.98it/s]\n",
            "100%|██████████| 3250/3250 [00:05<00:00, 613.56it/s]\n",
            "100%|██████████| 23155/23155 [00:35<00:00, 650.18it/s]\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Word</th>\n",
              "      <th>MI Score</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>12866</th>\n",
              "      <td>front door charm entri vintag glass elev seat ...</td>\n",
              "      <td>0.016518</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12865</th>\n",
              "      <td>rush car total relax yard</td>\n",
              "      <td>0.016518</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12864</th>\n",
              "      <td>pull wait line mani downtown hotel</td>\n",
              "      <td>0.016518</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12863</th>\n",
              "      <td>picturesqu build love french countri</td>\n",
              "      <td>0.016518</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12862</th>\n",
              "      <td>your minneapoli</td>\n",
              "      <td>0.016518</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12861</th>\n",
              "      <td>walk path</td>\n",
              "      <td>0.016518</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12860</th>\n",
              "      <td>great street</td>\n",
              "      <td>0.016518</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12859</th>\n",
              "      <td>nicollet inn wonder area lot</td>\n",
              "      <td>0.016518</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12858</th>\n",
              "      <td>walk distanc downtown minneapoli</td>\n",
              "      <td>0.016518</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12857</th>\n",
              "      <td>town overnight hotel pricey histor beauti ampl...</td>\n",
              "      <td>0.016518</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12856</th>\n",
              "      <td>yearstth servic impecc friendli care</td>\n",
              "      <td>0.016518</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12855</th>\n",
              "      <td>good time friend famili room spaciou comfort c...</td>\n",
              "      <td>0.016518</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12854</th>\n",
              "      <td>great restaur bar perfect place relax</td>\n",
              "      <td>0.016518</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2147</th>\n",
              "      <td>littl food option</td>\n",
              "      <td>0.016518</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12844</th>\n",
              "      <td>enjoy cours sunday</td>\n",
              "      <td>0.016518</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12843</th>\n",
              "      <td>small hotel everyth easi walk lot place downtown</td>\n",
              "      <td>0.016518</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12846</th>\n",
              "      <td>oz portion</td>\n",
              "      <td>0.016518</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2145</th>\n",
              "      <td>room nice clean nice tv decent bed nice bathroom</td>\n",
              "      <td>0.016518</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2162</th>\n",
              "      <td>littl rowdi didnt feel</td>\n",
              "      <td>0.016518</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2164</th>\n",
              "      <td>good drink bar littl expens love rain shower c...</td>\n",
              "      <td>0.016518</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2185</th>\n",
              "      <td>properti front desk team</td>\n",
              "      <td>0.016518</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2166</th>\n",
              "      <td>beauti new hotel excel locat park</td>\n",
              "      <td>0.016518</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2184</th>\n",
              "      <td>great restaur venu</td>\n",
              "      <td>0.016518</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2182</th>\n",
              "      <td>downtown minneapoli easi checkin park adjac ho...</td>\n",
              "      <td>0.016518</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2181</th>\n",
              "      <td>conveni locat</td>\n",
              "      <td>0.016518</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2180</th>\n",
              "      <td>comfort warm nnoveral nice stay</td>\n",
              "      <td>0.016518</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2179</th>\n",
              "      <td>studio setup nnthe bed</td>\n",
              "      <td>0.016518</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2178</th>\n",
              "      <td>light open shine</td>\n",
              "      <td>0.016518</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2177</th>\n",
              "      <td>mirror light ceil side mirror</td>\n",
              "      <td>0.016518</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12845</th>\n",
              "      <td>day food excel flank steak tender juici</td>\n",
              "      <td>0.016518</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2175</th>\n",
              "      <td>nthe sink mirror</td>\n",
              "      <td>0.016518</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2176</th>\n",
              "      <td>area open room</td>\n",
              "      <td>0.016518</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2173</th>\n",
              "      <td>showeruftoilet werent fan automat light bathroom</td>\n",
              "      <td>0.016518</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12847</th>\n",
              "      <td>plenti steak give slice husband</td>\n",
              "      <td>0.016518</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12848</th>\n",
              "      <td>plenti cours cours</td>\n",
              "      <td>0.016518</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12850</th>\n",
              "      <td>good waiter attent profession</td>\n",
              "      <td>0.016518</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12900</th>\n",
              "      <td>right midst occupi tabl restaur connect hotel ...</td>\n",
              "      <td>0.016518</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2174</th>\n",
              "      <td>turn time fun middl night</td>\n",
              "      <td>0.016518</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12781</th>\n",
              "      <td>small bed</td>\n",
              "      <td>0.016518</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6746</th>\n",
              "      <td>clean quiet servic</td>\n",
              "      <td>0.016518</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2168</th>\n",
              "      <td>hotel doesnt ramp</td>\n",
              "      <td>0.016518</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2169</th>\n",
              "      <td>ticket quick checkin</td>\n",
              "      <td>0.016518</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2170</th>\n",
              "      <td>staffnnour room</td>\n",
              "      <td>0.016518</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2171</th>\n",
              "      <td>citi view citi view</td>\n",
              "      <td>0.016518</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2172</th>\n",
              "      <td>side hotel park ramp room studio</td>\n",
              "      <td>0.016518</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2167</th>\n",
              "      <td>downtown ufnight inufout privledg</td>\n",
              "      <td>0.016518</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7952</th>\n",
              "      <td>open till</td>\n",
              "      <td>0.016555</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6728</th>\n",
              "      <td>local restaur</td>\n",
              "      <td>0.016555</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>great locat</td>\n",
              "      <td>0.017441</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4512</th>\n",
              "      <td>good food</td>\n",
              "      <td>0.017869</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                                                    Word  MI Score\n",
              "12866  front door charm entri vintag glass elev seat ...  0.016518\n",
              "12865                          rush car total relax yard  0.016518\n",
              "12864                 pull wait line mani downtown hotel  0.016518\n",
              "12863               picturesqu build love french countri  0.016518\n",
              "12862                                    your minneapoli  0.016518\n",
              "12861                                          walk path  0.016518\n",
              "12860                                       great street  0.016518\n",
              "12859                       nicollet inn wonder area lot  0.016518\n",
              "12858                   walk distanc downtown minneapoli  0.016518\n",
              "12857  town overnight hotel pricey histor beauti ampl...  0.016518\n",
              "12856               yearstth servic impecc friendli care  0.016518\n",
              "12855  good time friend famili room spaciou comfort c...  0.016518\n",
              "12854              great restaur bar perfect place relax  0.016518\n",
              "2147                                   littl food option  0.016518\n",
              "12844                                 enjoy cours sunday  0.016518\n",
              "12843   small hotel everyth easi walk lot place downtown  0.016518\n",
              "12846                                         oz portion  0.016518\n",
              "2145    room nice clean nice tv decent bed nice bathroom  0.016518\n",
              "2162                              littl rowdi didnt feel  0.016518\n",
              "2164   good drink bar littl expens love rain shower c...  0.016518\n",
              "2185                            properti front desk team  0.016518\n",
              "2166                   beauti new hotel excel locat park  0.016518\n",
              "2184                                  great restaur venu  0.016518\n",
              "2182   downtown minneapoli easi checkin park adjac ho...  0.016518\n",
              "2181                                       conveni locat  0.016518\n",
              "2180                     comfort warm nnoveral nice stay  0.016518\n",
              "2179                              studio setup nnthe bed  0.016518\n",
              "2178                                    light open shine  0.016518\n",
              "2177                       mirror light ceil side mirror  0.016518\n",
              "12845            day food excel flank steak tender juici  0.016518\n",
              "2175                                    nthe sink mirror  0.016518\n",
              "2176                                      area open room  0.016518\n",
              "2173    showeruftoilet werent fan automat light bathroom  0.016518\n",
              "12847                    plenti steak give slice husband  0.016518\n",
              "12848                                 plenti cours cours  0.016518\n",
              "12850                      good waiter attent profession  0.016518\n",
              "12900  right midst occupi tabl restaur connect hotel ...  0.016518\n",
              "2174                           turn time fun middl night  0.016518\n",
              "12781                                          small bed  0.016518\n",
              "6746                                  clean quiet servic  0.016518\n",
              "2168                                   hotel doesnt ramp  0.016518\n",
              "2169                                ticket quick checkin  0.016518\n",
              "2170                                     staffnnour room  0.016518\n",
              "2171                                 citi view citi view  0.016518\n",
              "2172                    side hotel park ramp room studio  0.016518\n",
              "2167                   downtown ufnight inufout privledg  0.016518\n",
              "7952                                           open till  0.016555\n",
              "6728                                       local restaur  0.016555\n",
              "3                                            great locat  0.017441\n",
              "4512                                           good food  0.017869"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 27
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Yss7shkeMZN0",
        "colab_type": "text"
      },
      "source": [
        "The high MI noun phrases can reveal that trallver like the hotel beacuse of its food. Only one location related term shows up which is minneapolis. it is also noted that noun of these noun phrases carry obvious negative sentiments.  "
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "iWFp5EbLMb21",
        "colab_type": "text"
      },
      "source": [
        "For ground truth sentiment, calculate the top-50 words according to PMI of the word occuring with (i) positive reviews and (ii) negative reviews. \n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "rBm33eFEkCJ-",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# negative_reviews_df\n",
        "def pmiCal(df, x):\n",
        "    pmilist=[]\n",
        "    for i in [-1,1]:\n",
        "        for j in [0,1]:\n",
        "            px = sum(df['sentiment']==i)/len(df)\n",
        "            py = (sum(df[x]==j)+1)/len(df)\n",
        "            pxy = len(df[(df['sentiment']==i) & (df[x]==j)])/len(df)\n",
        "            if pxy==0:#Log 0 cannot happen\n",
        "                pmi = math.log((pxy+0.0001)/(px*py))\n",
        "            else:\n",
        "                pmi = math.log(pxy/(px*py))\n",
        "            pmilist.append([i]+[j]+[px]+[py]+[pxy]+[pmi])\n",
        "    pmidf = pd.DataFrame(pmilist)\n",
        "    pmidf.columns = ['x','y','px','py','pxy','pmi']\n",
        "    return pmidf\n",
        "\n",
        "def pmiIndivCal(df,x,gt, label_column='sentiment'):\n",
        "    px = sum(df[label_column]==gt)/len(df)\n",
        "    py = (sum(df[x]==1)+1)/len(df)\n",
        "    pxy = len(df[(df[label_column]==gt) & (df[x]==1)])/len(df)\n",
        "    if pxy==0:#Log 0 cannot happen\n",
        "        pmi = math.log((pxy+0.0001)/(px*py))\n",
        "    else:\n",
        "        pmi = math.log(pxy/(px*py))\n",
        "    return pmi\n",
        "\n",
        "def pmiForAllCal(df, topk, label_column='sentiment'):\n",
        "    #Try calculate all the pmi for top k and store them into one pmidf dataframe\n",
        "    pmilist = []\n",
        "    pmiposlist = []\n",
        "    pmineglist = []\n",
        "    for word in tqdm(topk):\n",
        "        pmilist.append([word]+[pmiCal(df,word)])\n",
        "        pmiposlist.append([word]+[pmiIndivCal(df,word,1,label_column)])\n",
        "        pmineglist.append([word]+[pmiIndivCal(df,word,-1,label_column)])\n",
        "    pmidf = pd.DataFrame(pmilist)\n",
        "    pmiposlist = pd.DataFrame(pmiposlist)\n",
        "    pmineglist = pd.DataFrame(pmineglist)\n",
        "    pmiposlist.columns = ['word','pmi']\n",
        "    pmineglist.columns = ['word','pmi']\n",
        "    pmidf.columns = ['word','pmi']\n",
        "    return pmiposlist, pmineglist, pmidf"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "s-WHmdCjzQgp",
        "colab_type": "code",
        "outputId": "1cf2356a-c363-4bb1-84ab-cf0e5e20c53d",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        }
      },
      "source": [
        "selected_noun_vocabulary = [x for x, _ in get_term_count(reviews_df.tokenized_review.values).most_common(3000)]\n",
        "selected_words_sentiments_df = create_sentiments2terms(reviews_df, selected_noun_vocabulary, 'tokenized_review')\n",
        "pmiposlist, pmineglist, pmidf = pmiForAllCal(selected_words_sentiments_df, selected_noun_vocabulary)\n",
        "pmiposlist.sort_values(by=['pmi']).tail(50)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "100%|██████████| 3250/3250 [00:00<00:00, 80485.39it/s]\n",
            "100%|██████████| 3250/3250 [00:00<00:00, 5102.04it/s]\n",
            "100%|██████████| 3000/3000 [02:59<00:00, 16.67it/s]\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
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              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>word</th>\n",
              "      <th>pmi</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>1906</th>\n",
              "      <td>steakhouse</td>\n",
              "      <td>0.163306</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1905</th>\n",
              "      <td>kick</td>\n",
              "      <td>0.163306</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1931</th>\n",
              "      <td>soundproof</td>\n",
              "      <td>0.163306</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1933</th>\n",
              "      <td>farmers</td>\n",
              "      <td>0.163306</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1545</th>\n",
              "      <td>western</td>\n",
              "      <td>0.163306</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1124</th>\n",
              "      <td>text</td>\n",
              "      <td>0.163306</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1940</th>\n",
              "      <td>residential</td>\n",
              "      <td>0.163306</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1898</th>\n",
              "      <td>men</td>\n",
              "      <td>0.163306</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1975</th>\n",
              "      <td>personality</td>\n",
              "      <td>0.163306</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2019</th>\n",
              "      <td>pubs</td>\n",
              "      <td>0.163306</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1969</th>\n",
              "      <td>printer</td>\n",
              "      <td>0.163306</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1960</th>\n",
              "      <td>cooler</td>\n",
              "      <td>0.163306</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1779</th>\n",
              "      <td>regret</td>\n",
              "      <td>0.163306</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1935</th>\n",
              "      <td>remote</td>\n",
              "      <td>0.163306</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>877</th>\n",
              "      <td>swim</td>\n",
              "      <td>0.167761</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>442</th>\n",
              "      <td>hospital</td>\n",
              "      <td>0.171088</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>946</th>\n",
              "      <td>additional</td>\n",
              "      <td>0.171890</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>452</th>\n",
              "      <td>club</td>\n",
              "      <td>0.173844</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1805</th>\n",
              "      <td>nnall</td>\n",
              "      <td>0.175729</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1794</th>\n",
              "      <td>sense</td>\n",
              "      <td>0.175729</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1810</th>\n",
              "      <td>rob</td>\n",
              "      <td>0.175729</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1876</th>\n",
              "      <td>patient</td>\n",
              "      <td>0.175729</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1838</th>\n",
              "      <td>friendliness</td>\n",
              "      <td>0.175729</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1789</th>\n",
              "      <td>destination</td>\n",
              "      <td>0.175729</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1885</th>\n",
              "      <td>prevent</td>\n",
              "      <td>0.175729</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1657</th>\n",
              "      <td>surgery</td>\n",
              "      <td>0.175729</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1787</th>\n",
              "      <td>immediate</td>\n",
              "      <td>0.175729</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1692</th>\n",
              "      <td>crack</td>\n",
              "      <td>0.175729</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1757</th>\n",
              "      <td>giant</td>\n",
              "      <td>0.175729</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1756</th>\n",
              "      <td>act</td>\n",
              "      <td>0.175729</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1212</th>\n",
              "      <td>opportunity</td>\n",
              "      <td>0.175729</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1702</th>\n",
              "      <td>unload</td>\n",
              "      <td>0.175729</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1712</th>\n",
              "      <td>ten</td>\n",
              "      <td>0.175729</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1714</th>\n",
              "      <td>speed</td>\n",
              "      <td>0.175729</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1151</th>\n",
              "      <td>print</td>\n",
              "      <td>0.181006</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1144</th>\n",
              "      <td>recent</td>\n",
              "      <td>0.181006</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>838</th>\n",
              "      <td>general</td>\n",
              "      <td>0.185779</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1736</th>\n",
              "      <td>dozen</td>\n",
              "      <td>0.185779</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1119</th>\n",
              "      <td>nnthis</td>\n",
              "      <td>0.185779</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1770</th>\n",
              "      <td>unfortunate</td>\n",
              "      <td>0.185779</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1532</th>\n",
              "      <td>truck</td>\n",
              "      <td>0.185779</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>464</th>\n",
              "      <td>security</td>\n",
              "      <td>0.187563</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1634</th>\n",
              "      <td>appetizer</td>\n",
              "      <td>0.194078</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1626</th>\n",
              "      <td>bench</td>\n",
              "      <td>0.194078</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1436</th>\n",
              "      <td>appetizers</td>\n",
              "      <td>0.201047</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1471</th>\n",
              "      <td>path</td>\n",
              "      <td>0.206981</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1406</th>\n",
              "      <td>patio</td>\n",
              "      <td>0.212096</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1282</th>\n",
              "      <td>lively</td>\n",
              "      <td>0.220465</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1309</th>\n",
              "      <td>guard</td>\n",
              "      <td>0.220465</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1291</th>\n",
              "      <td>challenge</td>\n",
              "      <td>0.223931</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "              word       pmi\n",
              "1906    steakhouse  0.163306\n",
              "1905          kick  0.163306\n",
              "1931    soundproof  0.163306\n",
              "1933       farmers  0.163306\n",
              "1545       western  0.163306\n",
              "1124          text  0.163306\n",
              "1940   residential  0.163306\n",
              "1898           men  0.163306\n",
              "1975   personality  0.163306\n",
              "2019          pubs  0.163306\n",
              "1969       printer  0.163306\n",
              "1960        cooler  0.163306\n",
              "1779        regret  0.163306\n",
              "1935        remote  0.163306\n",
              "877           swim  0.167761\n",
              "442       hospital  0.171088\n",
              "946     additional  0.171890\n",
              "452           club  0.173844\n",
              "1805         nnall  0.175729\n",
              "1794         sense  0.175729\n",
              "1810           rob  0.175729\n",
              "1876       patient  0.175729\n",
              "1838  friendliness  0.175729\n",
              "1789   destination  0.175729\n",
              "1885       prevent  0.175729\n",
              "1657       surgery  0.175729\n",
              "1787     immediate  0.175729\n",
              "1692         crack  0.175729\n",
              "1757         giant  0.175729\n",
              "1756           act  0.175729\n",
              "1212   opportunity  0.175729\n",
              "1702        unload  0.175729\n",
              "1712           ten  0.175729\n",
              "1714         speed  0.175729\n",
              "1151         print  0.181006\n",
              "1144        recent  0.181006\n",
              "838        general  0.185779\n",
              "1736         dozen  0.185779\n",
              "1119        nnthis  0.185779\n",
              "1770   unfortunate  0.185779\n",
              "1532         truck  0.185779\n",
              "464       security  0.187563\n",
              "1634     appetizer  0.194078\n",
              "1626         bench  0.194078\n",
              "1436    appetizers  0.201047\n",
              "1471          path  0.206981\n",
              "1406         patio  0.212096\n",
              "1282        lively  0.220465\n",
              "1309         guard  0.220465\n",
              "1291     challenge  0.223931"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 29
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "xHrVyXtAndgD",
        "colab_type": "code",
        "outputId": "b4f5521a-067e-490b-b28a-feee114eac94",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        }
      },
      "source": [
        "pmineglist.sort_values(by=['pmi']).tail(50)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>word</th>\n",
              "      <th>pmi</th>\n",
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              "  </thead>\n",
              "  <tbody>\n",
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              "      <th>2639</th>\n",
              "      <td>bloomington</td>\n",
              "      <td>0.811081</td>\n",
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              "      <th>2976</th>\n",
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              "      <th>2750</th>\n",
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              "      <td>banquet</td>\n",
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              "    <tr>\n",
              "      <th>2359</th>\n",
              "      <td>scent</td>\n",
              "      <td>0.811081</td>\n",
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              "    <tr>\n",
              "      <th>2116</th>\n",
              "      <td>mood</td>\n",
              "      <td>0.811081</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2382</th>\n",
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              "      <td>0.811081</td>\n",
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              "    <tr>\n",
              "      <th>1176</th>\n",
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              "    </tr>\n",
              "    <tr>\n",
              "      <th>2148</th>\n",
              "      <td>unhelpful</td>\n",
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              "      <td>0.811081</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2266</th>\n",
              "      <td>motels</td>\n",
              "      <td>0.811081</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2870</th>\n",
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              "      <td>0.811081</td>\n",
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              "    <tr>\n",
              "      <th>2163</th>\n",
              "      <td>candy</td>\n",
              "      <td>0.811081</td>\n",
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              "    <tr>\n",
              "      <th>1870</th>\n",
              "      <td>government</td>\n",
              "      <td>0.811081</td>\n",
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              "    <tr>\n",
              "      <th>2481</th>\n",
              "      <td>silly</td>\n",
              "      <td>0.811081</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2443</th>\n",
              "      <td>tuck</td>\n",
              "      <td>0.811081</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1502</th>\n",
              "      <td>button</td>\n",
              "      <td>0.885189</td>\n",
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              "    <tr>\n",
              "      <th>1606</th>\n",
              "      <td>tap</td>\n",
              "      <td>0.885189</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1777</th>\n",
              "      <td>marin</td>\n",
              "      <td>0.898092</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2034</th>\n",
              "      <td>anymore</td>\n",
              "      <td>0.916441</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2336</th>\n",
              "      <td>device</td>\n",
              "      <td>0.944612</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2324</th>\n",
              "      <td>cafes</td>\n",
              "      <td>0.944612</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1317</th>\n",
              "      <td>wales</td>\n",
              "      <td>0.965231</td>\n",
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              "    <tr>\n",
              "      <th>2834</th>\n",
              "      <td>apply</td>\n",
              "      <td>0.993402</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2911</th>\n",
              "      <td>damage</td>\n",
              "      <td>0.993402</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2982</th>\n",
              "      <td>interaction</td>\n",
              "      <td>0.993402</td>\n",
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              "    <tr>\n",
              "      <th>2743</th>\n",
              "      <td>twist</td>\n",
              "      <td>0.993402</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2802</th>\n",
              "      <td>registration</td>\n",
              "      <td>0.993402</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2749</th>\n",
              "      <td>nna</td>\n",
              "      <td>0.993402</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2990</th>\n",
              "      <td>individually</td>\n",
              "      <td>0.993402</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1866</th>\n",
              "      <td>radio</td>\n",
              "      <td>0.993402</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2095</th>\n",
              "      <td>familiar</td>\n",
              "      <td>1.034224</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2193</th>\n",
              "      <td>julie</td>\n",
              "      <td>1.034224</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2065</th>\n",
              "      <td>inadequate</td>\n",
              "      <td>1.034224</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2150</th>\n",
              "      <td>track</td>\n",
              "      <td>1.034224</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2096</th>\n",
              "      <td>ballpark</td>\n",
              "      <td>1.034224</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2564</th>\n",
              "      <td>twonight</td>\n",
              "      <td>1.098763</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2705</th>\n",
              "      <td>arenut</td>\n",
              "      <td>1.098763</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2788</th>\n",
              "      <td>pee</td>\n",
              "      <td>1.098763</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2511</th>\n",
              "      <td>miserable</td>\n",
              "      <td>1.098763</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2297</th>\n",
              "      <td>milwaukee</td>\n",
              "      <td>1.098763</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2983</th>\n",
              "      <td>scratch</td>\n",
              "      <td>1.281084</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2739</th>\n",
              "      <td>incidental</td>\n",
              "      <td>1.281084</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2730</th>\n",
              "      <td>courtyards</td>\n",
              "      <td>1.281084</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2406</th>\n",
              "      <td>alona</td>\n",
              "      <td>1.321906</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "              word       pmi\n",
              "2639   bloomington  0.811081\n",
              "2976       desktop  0.811081\n",
              "2750       acquire  0.811081\n",
              "2543     everybody  0.811081\n",
              "2608         arise  0.811081\n",
              "2063        nnalso  0.811081\n",
              "2430         fight  0.811081\n",
              "2049       banquet  0.811081\n",
              "2359         scent  0.811081\n",
              "2116          mood  0.811081\n",
              "2382    riverfront  0.811081\n",
              "2077         crash  0.811081\n",
              "1176        owners  0.811081\n",
              "2148     unhelpful  0.811081\n",
              "2340   description  0.811081\n",
              "2266        motels  0.811081\n",
              "2870        ngreat  0.811081\n",
              "2163         candy  0.811081\n",
              "1870    government  0.811081\n",
              "2481         silly  0.811081\n",
              "2443          tuck  0.811081\n",
              "1502        button  0.885189\n",
              "1606           tap  0.885189\n",
              "1777         marin  0.898092\n",
              "2034       anymore  0.916441\n",
              "2336        device  0.944612\n",
              "2324         cafes  0.944612\n",
              "1317         wales  0.965231\n",
              "2834         apply  0.993402\n",
              "2911        damage  0.993402\n",
              "2982   interaction  0.993402\n",
              "2743         twist  0.993402\n",
              "2802  registration  0.993402\n",
              "2749           nna  0.993402\n",
              "2990  individually  0.993402\n",
              "1866         radio  0.993402\n",
              "2095      familiar  1.034224\n",
              "2193         julie  1.034224\n",
              "2065    inadequate  1.034224\n",
              "2150         track  1.034224\n",
              "2096      ballpark  1.034224\n",
              "2564      twonight  1.098763\n",
              "2705        arenut  1.098763\n",
              "2788           pee  1.098763\n",
              "2511     miserable  1.098763\n",
              "2297     milwaukee  1.098763\n",
              "2983       scratch  1.281084\n",
              "2739    incidental  1.281084\n",
              "2730    courtyards  1.281084\n",
              "2406         alona  1.321906"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 30
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "f5BvJWE87f5X",
        "colab_type": "text"
      },
      "source": [
        "From the positive reviews, I can conclude that travellers like the hotel because of the amenities, food and quality of services.    \n",
        "For negative reviews, it is defficult to concluses as it lack of specific terms. There are two specific location shows up \"bloomington\" and \"milwaukee\", which are cities near minneapolis. The second hightese term countryards is likely refer to the hotel \"Courtyard by Marriott Minneapolis Downtown\". "
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Zp-SYwGI7YgP",
        "colab_type": "text"
      },
      "source": [
        "## (b)"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "5LSmb8GG8ZmO",
        "colab_type": "code",
        "outputId": "fd2a39e5-ec17-436a-d231-486a8398baa6",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 68
        }
      },
      "source": [
        "selected_noun_phrase_vocabulary = [x for x, _ in get_term_count(reviews_df.noun_phrases.values).most_common(3000)]\n",
        "selected_noun_phrases_sentiments_df = create_sentiments2terms(reviews_df, selected_noun_phrase_vocabulary, 'noun_phrases')\n",
        "pmiposlist_np, pmineglist_np, pmidf_np = pmiForAllCal(selected_noun_phrases_sentiments_df, selected_noun_phrase_vocabulary)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "100%|██████████| 3250/3250 [00:00<00:00, 142850.28it/s]\n",
            "100%|██████████| 3250/3250 [00:00<00:00, 5792.86it/s]\n",
            "100%|██████████| 3000/3000 [02:43<00:00, 18.31it/s]\n"
          ],
          "name": "stderr"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "YGGatIls6kSo",
        "colab_type": "code",
        "outputId": "b4622173-eae0-4432-d18b-a72a04ce4a3f",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1599
        }
      },
      "source": [
        "pmiposlist_np.sort_values(by=['pmi']).tail(50)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
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              "    }\n",
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              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>word</th>\n",
              "      <th>pmi</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>240</th>\n",
              "      <td>hotel restaur</td>\n",
              "      <td>-0.006593</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>166</th>\n",
              "      <td>worth money</td>\n",
              "      <td>-0.006593</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>239</th>\n",
              "      <td>great food</td>\n",
              "      <td>-0.006593</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>168</th>\n",
              "      <td>second time</td>\n",
              "      <td>-0.006593</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>170</th>\n",
              "      <td>good room</td>\n",
              "      <td>-0.006593</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>173</th>\n",
              "      <td>pool area</td>\n",
              "      <td>-0.006593</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>140</th>\n",
              "      <td>good deal</td>\n",
              "      <td>-0.006593</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>84</th>\n",
              "      <td>credit card</td>\n",
              "      <td>-0.006593</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>175</th>\n",
              "      <td>beauti hotel</td>\n",
              "      <td>-0.006593</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>155</th>\n",
              "      <td>univers minnesota</td>\n",
              "      <td>-0.006593</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>216</th>\n",
              "      <td>smile face</td>\n",
              "      <td>-0.006593</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>walk distanc</td>\n",
              "      <td>0.016397</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>night stay</td>\n",
              "      <td>0.018725</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>27</th>\n",
              "      <td>good restaur</td>\n",
              "      <td>0.029775</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>31</th>\n",
              "      <td>twin game</td>\n",
              "      <td>0.029775</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>90</th>\n",
              "      <td>great staff</td>\n",
              "      <td>0.057946</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>109</th>\n",
              "      <td>front desk peopl</td>\n",
              "      <td>0.057946</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>110</th>\n",
              "      <td>mani guest</td>\n",
              "      <td>0.057946</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>111</th>\n",
              "      <td>leblanc hous</td>\n",
              "      <td>0.057946</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>113</th>\n",
              "      <td>size bed</td>\n",
              "      <td>0.057946</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>115</th>\n",
              "      <td>room room</td>\n",
              "      <td>0.057946</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>119</th>\n",
              "      <td>room door</td>\n",
              "      <td>0.057946</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>120</th>\n",
              "      <td>safe walk night</td>\n",
              "      <td>0.057946</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>121</th>\n",
              "      <td>good valu</td>\n",
              "      <td>0.057946</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>124</th>\n",
              "      <td>train station</td>\n",
              "      <td>0.057946</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>127</th>\n",
              "      <td>stay confer</td>\n",
              "      <td>0.057946</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>128</th>\n",
              "      <td>bedroom suit</td>\n",
              "      <td>0.057946</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>108</th>\n",
              "      <td>staff friendli help</td>\n",
              "      <td>0.057946</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>94</th>\n",
              "      <td>check room</td>\n",
              "      <td>0.057946</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>98</th>\n",
              "      <td>great peopl</td>\n",
              "      <td>0.057946</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75</th>\n",
              "      <td>mall america</td>\n",
              "      <td>0.057946</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>86</th>\n",
              "      <td>stay busi</td>\n",
              "      <td>0.057946</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>85</th>\n",
              "      <td>great view</td>\n",
              "      <td>0.057946</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>78</th>\n",
              "      <td>nice stay</td>\n",
              "      <td>0.057946</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>87</th>\n",
              "      <td>nnthe room</td>\n",
              "      <td>0.057946</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>21</th>\n",
              "      <td>nice hotel</td>\n",
              "      <td>0.080419</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>great locat</td>\n",
              "      <td>0.084379</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>56</th>\n",
              "      <td>staff member</td>\n",
              "      <td>0.098768</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>61</th>\n",
              "      <td>easi walk</td>\n",
              "      <td>0.098768</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>62</th>\n",
              "      <td>nice place</td>\n",
              "      <td>0.098768</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>64</th>\n",
              "      <td>nice room</td>\n",
              "      <td>0.098768</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50</th>\n",
              "      <td>hampton inn</td>\n",
              "      <td>0.098768</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>enjoy stay</td>\n",
              "      <td>0.098768</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>71</th>\n",
              "      <td>stone arch bridg</td>\n",
              "      <td>0.098768</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>51</th>\n",
              "      <td>mani peopl</td>\n",
              "      <td>0.126939</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>downtown minneapoli</td>\n",
              "      <td>0.141327</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>26</th>\n",
              "      <td>comfort hotel</td>\n",
              "      <td>0.147558</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>29</th>\n",
              "      <td>next time</td>\n",
              "      <td>0.163306</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>37</th>\n",
              "      <td>great restaur</td>\n",
              "      <td>0.163306</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>22</th>\n",
              "      <td>hotel stay</td>\n",
              "      <td>0.185779</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                    word       pmi\n",
              "240        hotel restaur -0.006593\n",
              "166          worth money -0.006593\n",
              "239           great food -0.006593\n",
              "168          second time -0.006593\n",
              "170            good room -0.006593\n",
              "173            pool area -0.006593\n",
              "140            good deal -0.006593\n",
              "84           credit card -0.006593\n",
              "175         beauti hotel -0.006593\n",
              "155    univers minnesota -0.006593\n",
              "216           smile face -0.006593\n",
              "0           walk distanc  0.016397\n",
              "11            night stay  0.018725\n",
              "27          good restaur  0.029775\n",
              "31             twin game  0.029775\n",
              "90           great staff  0.057946\n",
              "109     front desk peopl  0.057946\n",
              "110           mani guest  0.057946\n",
              "111         leblanc hous  0.057946\n",
              "113             size bed  0.057946\n",
              "115            room room  0.057946\n",
              "119            room door  0.057946\n",
              "120      safe walk night  0.057946\n",
              "121            good valu  0.057946\n",
              "124        train station  0.057946\n",
              "127          stay confer  0.057946\n",
              "128         bedroom suit  0.057946\n",
              "108  staff friendli help  0.057946\n",
              "94            check room  0.057946\n",
              "98           great peopl  0.057946\n",
              "75          mall america  0.057946\n",
              "86             stay busi  0.057946\n",
              "85            great view  0.057946\n",
              "78             nice stay  0.057946\n",
              "87            nnthe room  0.057946\n",
              "21            nice hotel  0.080419\n",
              "2            great locat  0.084379\n",
              "56          staff member  0.098768\n",
              "61             easi walk  0.098768\n",
              "62            nice place  0.098768\n",
              "64             nice room  0.098768\n",
              "50           hampton inn  0.098768\n",
              "12            enjoy stay  0.098768\n",
              "71      stone arch bridg  0.098768\n",
              "51            mani peopl  0.126939\n",
              "5    downtown minneapoli  0.141327\n",
              "26         comfort hotel  0.147558\n",
              "29             next time  0.163306\n",
              "37         great restaur  0.163306\n",
              "22            hotel stay  0.185779"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 32
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "sCkYp1nfERy7",
        "colab_type": "code",
        "outputId": "d80e3779-4ed9-43b9-c656-778e8137c191",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1599
        }
      },
      "source": [
        "pmineglist_np.sort_values(by=['pmi']).tail(50)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "  <tbody>\n",
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              "      <th>776</th>\n",
              "      <td>wear makeup</td>\n",
              "      <td>0.811081</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2517</th>\n",
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              "    </tr>\n",
              "    <tr>\n",
              "      <th>1441</th>\n",
              "      <td>earli meet</td>\n",
              "      <td>0.811081</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>775</th>\n",
              "      <td>select someon</td>\n",
              "      <td>0.811081</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>774</th>\n",
              "      <td>light bathroom histori world</td>\n",
              "      <td>0.811081</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>773</th>\n",
              "      <td>idiot select lightingufmirror setup bathroom</td>\n",
              "      <td>0.811081</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2516</th>\n",
              "      <td>avoid hilton brand</td>\n",
              "      <td>0.811081</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>772</th>\n",
              "      <td>shave bathroom</td>\n",
              "      <td>0.811081</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>771</th>\n",
              "      <td>makeup bathroom</td>\n",
              "      <td>0.811081</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1102</th>\n",
              "      <td>sofa sleep</td>\n",
              "      <td>0.811081</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1103</th>\n",
              "      <td>sign post buffet breakfast area call corpor ti...</td>\n",
              "      <td>0.811081</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1104</th>\n",
              "      <td>call say</td>\n",
              "      <td>0.811081</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1098</th>\n",
              "      <td>didnt pay</td>\n",
              "      <td>0.811081</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1099</th>\n",
              "      <td>current volleybal team</td>\n",
              "      <td>0.811081</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1894</th>\n",
              "      <td>dayw night</td>\n",
              "      <td>0.811081</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1442</th>\n",
              "      <td>give recognit spg platinum statu</td>\n",
              "      <td>0.811081</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1892</th>\n",
              "      <td>ndiffer concierg</td>\n",
              "      <td>0.811081</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2521</th>\n",
              "      <td>floor reaction kind</td>\n",
              "      <td>0.811081</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1893</th>\n",
              "      <td>day differ staff</td>\n",
              "      <td>0.811081</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2518</th>\n",
              "      <td>trip give brand</td>\n",
              "      <td>0.811081</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1895</th>\n",
              "      <td>face valet servic excel park</td>\n",
              "      <td>0.811081</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1896</th>\n",
              "      <td>nightnloc fantast block nicolett</td>\n",
              "      <td>0.811081</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1105</th>\n",
              "      <td>mn princ birthday last week</td>\n",
              "      <td>0.811081</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2520</th>\n",
              "      <td>arriv hotel front desk assist accid</td>\n",
              "      <td>0.811081</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2519</th>\n",
              "      <td>tri chanc resurrect day</td>\n",
              "      <td>0.811081</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1096</th>\n",
              "      <td>x year princ event locat night celebr reserv</td>\n",
              "      <td>0.811081</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1097</th>\n",
              "      <td>name time vivian deni room samantha supervisor</td>\n",
              "      <td>0.811081</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2498</th>\n",
              "      <td>suppos stay juli daughter</td>\n",
              "      <td>0.811081</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2499</th>\n",
              "      <td>wasnt hope</td>\n",
              "      <td>0.811081</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1897</th>\n",
              "      <td>ballpark transit restaur nbut prepay</td>\n",
              "      <td>0.811081</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>43</th>\n",
              "      <td>book hotel</td>\n",
              "      <td>1.034224</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>534</th>\n",
              "      <td>right front</td>\n",
              "      <td>1.098763</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>355</th>\n",
              "      <td>high end hotel</td>\n",
              "      <td>1.098763</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>528</th>\n",
              "      <td>connect airport</td>\n",
              "      <td>1.098763</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>357</th>\n",
              "      <td>downtown mpl</td>\n",
              "      <td>1.098763</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>527</th>\n",
              "      <td>read review</td>\n",
              "      <td>1.098763</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>646</th>\n",
              "      <td>minut walk</td>\n",
              "      <td>1.098763</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>405</th>\n",
              "      <td>bad experi</td>\n",
              "      <td>1.098763</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>265</th>\n",
              "      <td>comfort pillow</td>\n",
              "      <td>1.098763</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>407</th>\n",
              "      <td>stay lot hotel</td>\n",
              "      <td>1.098763</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>604</th>\n",
              "      <td>sure everyth</td>\n",
              "      <td>1.098763</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>499</th>\n",
              "      <td>check hotel staff</td>\n",
              "      <td>1.098763</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>463</th>\n",
              "      <td>good time</td>\n",
              "      <td>1.098763</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>477</th>\n",
              "      <td>star experi</td>\n",
              "      <td>1.098763</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>655</th>\n",
              "      <td>top floor</td>\n",
              "      <td>1.098763</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>284</th>\n",
              "      <td>room temperatur</td>\n",
              "      <td>1.098763</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>603</th>\n",
              "      <td>stay resid inn</td>\n",
              "      <td>1.098763</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>158</th>\n",
              "      <td>park fee</td>\n",
              "      <td>1.216546</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>234</th>\n",
              "      <td>room window</td>\n",
              "      <td>1.216546</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>221</th>\n",
              "      <td>larg group</td>\n",
              "      <td>1.216546</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                                                   word       pmi\n",
              "776                                         wear makeup  0.811081\n",
              "2517                     wasnut get great custom servic  0.811081\n",
              "1441                                         earli meet  0.811081\n",
              "775                                       select someon  0.811081\n",
              "774                        light bathroom histori world  0.811081\n",
              "773        idiot select lightingufmirror setup bathroom  0.811081\n",
              "2516                                 avoid hilton brand  0.811081\n",
              "772                                      shave bathroom  0.811081\n",
              "771                                     makeup bathroom  0.811081\n",
              "1102                                         sofa sleep  0.811081\n",
              "1103  sign post buffet breakfast area call corpor ti...  0.811081\n",
              "1104                                           call say  0.811081\n",
              "1098                                          didnt pay  0.811081\n",
              "1099                             current volleybal team  0.811081\n",
              "1894                                         dayw night  0.811081\n",
              "1442                   give recognit spg platinum statu  0.811081\n",
              "1892                                   ndiffer concierg  0.811081\n",
              "2521                                floor reaction kind  0.811081\n",
              "1893                                   day differ staff  0.811081\n",
              "2518                                    trip give brand  0.811081\n",
              "1895                       face valet servic excel park  0.811081\n",
              "1896                   nightnloc fantast block nicolett  0.811081\n",
              "1105                        mn princ birthday last week  0.811081\n",
              "2520                arriv hotel front desk assist accid  0.811081\n",
              "2519                            tri chanc resurrect day  0.811081\n",
              "1096       x year princ event locat night celebr reserv  0.811081\n",
              "1097     name time vivian deni room samantha supervisor  0.811081\n",
              "2498                          suppos stay juli daughter  0.811081\n",
              "2499                                         wasnt hope  0.811081\n",
              "1897               ballpark transit restaur nbut prepay  0.811081\n",
              "43                                           book hotel  1.034224\n",
              "534                                         right front  1.098763\n",
              "355                                      high end hotel  1.098763\n",
              "528                                     connect airport  1.098763\n",
              "357                                        downtown mpl  1.098763\n",
              "527                                         read review  1.098763\n",
              "646                                          minut walk  1.098763\n",
              "405                                          bad experi  1.098763\n",
              "265                                      comfort pillow  1.098763\n",
              "407                                      stay lot hotel  1.098763\n",
              "604                                        sure everyth  1.098763\n",
              "499                                   check hotel staff  1.098763\n",
              "463                                           good time  1.098763\n",
              "477                                         star experi  1.098763\n",
              "655                                           top floor  1.098763\n",
              "284                                     room temperatur  1.098763\n",
              "603                                      stay resid inn  1.098763\n",
              "158                                            park fee  1.216546\n",
              "234                                         room window  1.216546\n",
              "221                                          larg group  1.216546"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 33
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "YsuysCZe-Fgu",
        "colab_type": "text"
      },
      "source": [
        "For positive reviews there are high PMI location related terms such as university of minnesota, downtown minneapoli, and stone arch bridg. One of the top rated hotel \"hampton inn\" also presents as a high PMI term. It can be concluded that travellers write positive reviews for reasons like great location, good food, prices and services. \n",
        "\n",
        "For negative reviews, there is only one location related term \"downtown mpl\". A few hotel groups shows up such as spg and hilton. large portion of the high PMI noun phrase for negative reviews carries positive sentiment. "
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "qgLdq1sv7RRG",
        "colab_type": "code",
        "outputId": "c864b8f3-bc27-4057-da80-4bf018bcd551",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 51
        }
      },
      "source": [
        "top_rated_hotel = hotel_average.sort_values(by=['score']).tail(1).index.values[0]\n",
        "bottom_rated_hotel = hotel_average.sort_values(by=['score']).head(1).index.values[-1]\n",
        "print(\"Top rated:\\t\" + top_rated_hotel)\n",
        "print(\"Bottom rated:\\t\" + bottom_rated_hotel)\n",
        "top_hotel_df = reviews_df[reviews_df.hotel_name == top_rated_hotel]\n",
        "bottom_hotel_df = reviews_df[reviews_df.hotel_name == bottom_rated_hotel]"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Top rated:\tLeBlanc House Bed and Breakfast\n",
            "Bottom rated:\tMinneapolis International Hostel\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "bOvAtnVoEDjY",
        "colab_type": "code",
        "outputId": "5da87cdc-824a-4d85-d138-36b1fffbf86d",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 68
        }
      },
      "source": [
        "top_hotel_vocabulary = [x for x in get_term_count(top_hotel_df.noun_phrases.values).keys()]\n",
        "top_rated_hotel_sentiments_df = create_sentiments2terms(reviews_df, top_hotel_vocabulary, 'noun_phrases')\n",
        "pmiposlist_top_hotel, pmineglist_top_hotel, pmidf_top_hotel = pmiForAllCal(top_rated_hotel_sentiments_df, top_hotel_vocabulary)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "100%|██████████| 20/20 [00:00<00:00, 61500.06it/s]\n",
            "100%|██████████| 3250/3250 [00:00<00:00, 62874.71it/s]\n",
            "100%|██████████| 199/199 [00:03<00:00, 58.11it/s]\n"
          ],
          "name": "stderr"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Yf5Qg0DIEhyX",
        "colab_type": "code",
        "outputId": "bf96f0a4-0d9d-46b5-acc5-20ca80fe8f2f",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1599
        }
      },
      "source": [
        "pmiposlist_top_hotel.sort_values(by=['pmi']).tail(50)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>word</th>\n",
              "      <th>pmi</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>20</th>\n",
              "      <td>origin style whole hous way</td>\n",
              "      <td>-0.412058</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>hous hear parent review</td>\n",
              "      <td>-0.412058</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>57</th>\n",
              "      <td>warm review speak ampl wonder breakfast averag...</td>\n",
              "      <td>-0.412058</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>55</th>\n",
              "      <td>assum central air mean cool</td>\n",
              "      <td>-0.412058</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>59</th>\n",
              "      <td>bottom muffin averag day day</td>\n",
              "      <td>-0.412058</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>88</th>\n",
              "      <td>year host</td>\n",
              "      <td>-0.412058</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>89</th>\n",
              "      <td>chees cracker</td>\n",
              "      <td>-0.412058</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>90</th>\n",
              "      <td>littl delici scandinavian pastri</td>\n",
              "      <td>-0.412058</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>91</th>\n",
              "      <td>first bb experi im sure ive miss place</td>\n",
              "      <td>-0.412058</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>93</th>\n",
              "      <td>leblanc place</td>\n",
              "      <td>-0.412058</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>94</th>\n",
              "      <td>clean neat</td>\n",
              "      <td>-0.412058</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>95</th>\n",
              "      <td>quaint comfort breakfast excel nnmi wife</td>\n",
              "      <td>-0.412058</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>96</th>\n",
              "      <td>home room</td>\n",
              "      <td>-0.412058</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>58</th>\n",
              "      <td>good day</td>\n",
              "      <td>-0.412058</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>97</th>\n",
              "      <td>innkeep profession warm</td>\n",
              "      <td>-0.412058</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>197</th>\n",
              "      <td>sound machin block antiqu furnitur</td>\n",
              "      <td>-0.412058</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>100</th>\n",
              "      <td>delight place enjoy bb</td>\n",
              "      <td>-0.412058</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>101</th>\n",
              "      <td>possibl circumst</td>\n",
              "      <td>-0.412058</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>102</th>\n",
              "      <td>stay nnthank leblanc wonder stay</td>\n",
              "      <td>-0.412058</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>103</th>\n",
              "      <td>time pleasur summer winter time temperatur</td>\n",
              "      <td>-0.412058</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>104</th>\n",
              "      <td>heat nthe hous</td>\n",
              "      <td>-0.412058</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>105</th>\n",
              "      <td>life size doll hous room dress heirloom</td>\n",
              "      <td>-0.412058</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>106</th>\n",
              "      <td>await cooki</td>\n",
              "      <td>-0.412058</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>98</th>\n",
              "      <td>accommod time</td>\n",
              "      <td>-0.412058</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>86</th>\n",
              "      <td>pleasant time place</td>\n",
              "      <td>-0.412058</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>198</th>\n",
              "      <td>woodwork provid pleasant atmospher</td>\n",
              "      <td>-0.412058</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>84</th>\n",
              "      <td>breakfast experi</td>\n",
              "      <td>-0.412058</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>60</th>\n",
              "      <td>young ladi presum wife gentleman meet briefli</td>\n",
              "      <td>-0.412058</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>61</th>\n",
              "      <td>like hear histori hous dialogu host</td>\n",
              "      <td>-0.412058</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>62</th>\n",
              "      <td>local hot spot</td>\n",
              "      <td>-0.412058</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>63</th>\n",
              "      <td>hard judg experi</td>\n",
              "      <td>-0.412058</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>64</th>\n",
              "      <td>time stay unfortun ownerhowev</td>\n",
              "      <td>-0.412058</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75</th>\n",
              "      <td>night comfort bb innkeep</td>\n",
              "      <td>-0.412058</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>76</th>\n",
              "      <td>help accommod prefer exampl</td>\n",
              "      <td>-0.412058</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>85</th>\n",
              "      <td>anyth el compar</td>\n",
              "      <td>-0.412058</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>77</th>\n",
              "      <td>soy milk breakfast problem help recommend</td>\n",
              "      <td>-0.412058</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>79</th>\n",
              "      <td>cereal bread bagel</td>\n",
              "      <td>-0.412058</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>80</th>\n",
              "      <td>cake juic etcnnth locat perfect</td>\n",
              "      <td>-0.412058</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>81</th>\n",
              "      <td>concern riverfront district downtown univers l...</td>\n",
              "      <td>-0.412058</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>83</th>\n",
              "      <td>minut walk light rail downtown block riverfron...</td>\n",
              "      <td>-0.412058</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>78</th>\n",
              "      <td>coupl great restaurantsnnbreakfast fine noth e...</td>\n",
              "      <td>-0.412058</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50</th>\n",
              "      <td>rest room</td>\n",
              "      <td>-0.124376</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>breakfast time</td>\n",
              "      <td>-0.124376</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>128</th>\n",
              "      <td>distanc everyth</td>\n",
              "      <td>-0.124376</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>171</th>\n",
              "      <td>repeat guest</td>\n",
              "      <td>-0.124376</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>87</th>\n",
              "      <td>attent detail</td>\n",
              "      <td>-0.124376</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>147</th>\n",
              "      <td>ive stay</td>\n",
              "      <td>-0.037364</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>famili member</td>\n",
              "      <td>-0.006593</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>82</th>\n",
              "      <td>walk distanc</td>\n",
              "      <td>0.016397</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>135</th>\n",
              "      <td>leblanc hous</td>\n",
              "      <td>0.057946</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                                                  word       pmi\n",
              "20                         origin style whole hous way -0.412058\n",
              "11                             hous hear parent review -0.412058\n",
              "57   warm review speak ampl wonder breakfast averag... -0.412058\n",
              "55                         assum central air mean cool -0.412058\n",
              "59                        bottom muffin averag day day -0.412058\n",
              "88                                           year host -0.412058\n",
              "89                                       chees cracker -0.412058\n",
              "90                    littl delici scandinavian pastri -0.412058\n",
              "91              first bb experi im sure ive miss place -0.412058\n",
              "93                                       leblanc place -0.412058\n",
              "94                                          clean neat -0.412058\n",
              "95            quaint comfort breakfast excel nnmi wife -0.412058\n",
              "96                                           home room -0.412058\n",
              "58                                            good day -0.412058\n",
              "97                             innkeep profession warm -0.412058\n",
              "197                 sound machin block antiqu furnitur -0.412058\n",
              "100                             delight place enjoy bb -0.412058\n",
              "101                                   possibl circumst -0.412058\n",
              "102                   stay nnthank leblanc wonder stay -0.412058\n",
              "103         time pleasur summer winter time temperatur -0.412058\n",
              "104                                     heat nthe hous -0.412058\n",
              "105            life size doll hous room dress heirloom -0.412058\n",
              "106                                        await cooki -0.412058\n",
              "98                                       accommod time -0.412058\n",
              "86                                 pleasant time place -0.412058\n",
              "198                 woodwork provid pleasant atmospher -0.412058\n",
              "84                                    breakfast experi -0.412058\n",
              "60       young ladi presum wife gentleman meet briefli -0.412058\n",
              "61                 like hear histori hous dialogu host -0.412058\n",
              "62                                      local hot spot -0.412058\n",
              "63                                    hard judg experi -0.412058\n",
              "64                       time stay unfortun ownerhowev -0.412058\n",
              "75                            night comfort bb innkeep -0.412058\n",
              "76                         help accommod prefer exampl -0.412058\n",
              "85                                     anyth el compar -0.412058\n",
              "77           soy milk breakfast problem help recommend -0.412058\n",
              "79                                  cereal bread bagel -0.412058\n",
              "80                     cake juic etcnnth locat perfect -0.412058\n",
              "81   concern riverfront district downtown univers l... -0.412058\n",
              "83   minut walk light rail downtown block riverfron... -0.412058\n",
              "78   coupl great restaurantsnnbreakfast fine noth e... -0.412058\n",
              "50                                           rest room -0.124376\n",
              "4                                       breakfast time -0.124376\n",
              "128                                    distanc everyth -0.124376\n",
              "171                                       repeat guest -0.124376\n",
              "87                                       attent detail -0.124376\n",
              "147                                           ive stay -0.037364\n",
              "12                                       famili member -0.006593\n",
              "82                                        walk distanc  0.016397\n",
              "135                                       leblanc hous  0.057946"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 36
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "W4jyTdh4ExCF",
        "colab_type": "code",
        "outputId": "32a4b729-4e4c-4617-fea8-fdf5690b20fb",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1599
        }
      },
      "source": [
        "pmineglist_top_hotel.sort_values(by=['pmi']).tail(50)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
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              "\n",
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              "\n",
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              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>word</th>\n",
              "      <th>pmi</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>use din room parent host</td>\n",
              "      <td>-0.289734</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>swedish pancak</td>\n",
              "      <td>-0.289734</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>weekend breakfast</td>\n",
              "      <td>-0.289734</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>prepar fruit high qualiti coffe delici pastri</td>\n",
              "      <td>-0.289734</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>great join parent last morn impress</td>\n",
              "      <td>-0.289734</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>accommod welcom</td>\n",
              "      <td>-0.289734</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>31</th>\n",
              "      <td>stay memor weubll</td>\n",
              "      <td>-0.289734</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>147</th>\n",
              "      <td>ive stay</td>\n",
              "      <td>-0.200520</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>82</th>\n",
              "      <td>walk distanc</td>\n",
              "      <td>-0.177531</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>92</th>\n",
              "      <td>next time visit minneapoli</td>\n",
              "      <td>0.405615</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>109</th>\n",
              "      <td>coffe tea</td>\n",
              "      <td>0.405615</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>71</th>\n",
              "      <td>mani attract</td>\n",
              "      <td>0.405615</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>67</th>\n",
              "      <td>comfort bed</td>\n",
              "      <td>0.656930</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>159</th>\n",
              "      <td>travel minneapoli</td>\n",
              "      <td>0.811081</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>66</th>\n",
              "      <td>import requir</td>\n",
              "      <td>0.811081</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>68</th>\n",
              "      <td>delici breakfast owner</td>\n",
              "      <td>0.811081</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>184</th>\n",
              "      <td>bank stadium couldnt</td>\n",
              "      <td>0.811081</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>185</th>\n",
              "      <td>experi home bed comfort clean breakfast amaz</td>\n",
              "      <td>0.811081</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>186</th>\n",
              "      <td>downtown concert</td>\n",
              "      <td>0.811081</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>187</th>\n",
              "      <td>area littl bite</td>\n",
              "      <td>0.811081</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>188</th>\n",
              "      <td>cant forget mention toto dog absolut sweethear...</td>\n",
              "      <td>0.811081</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>189</th>\n",
              "      <td>leblanc hous anyon visit twin citi</td>\n",
              "      <td>0.811081</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>69</th>\n",
              "      <td>carlson famou swedish pancak wonder bb locat</td>\n",
              "      <td>0.811081</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>70</th>\n",
              "      <td>walk distanc downtown area</td>\n",
              "      <td>0.811081</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>72</th>\n",
              "      <td>target field hous room clean comfort home</td>\n",
              "      <td>0.811081</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>73</th>\n",
              "      <td>suit bathroom wi fi</td>\n",
              "      <td>0.811081</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>74</th>\n",
              "      <td>welcom friendli owner</td>\n",
              "      <td>0.811081</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>65</th>\n",
              "      <td>le blanc hous</td>\n",
              "      <td>0.811081</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>138</th>\n",
              "      <td>classic victorian relax</td>\n",
              "      <td>0.811081</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>139</th>\n",
              "      <td>tabl hungri fault host coffe delici fruit yogu...</td>\n",
              "      <td>0.811081</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>140</th>\n",
              "      <td>frittata secondnnconfort bed clean bright room...</td>\n",
              "      <td>0.811081</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>33</th>\n",
              "      <td>locat right heart downtown minneapoli nice are...</td>\n",
              "      <td>0.811081</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>32</th>\n",
              "      <td>first locat bb couldnt</td>\n",
              "      <td>0.811081</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>157</th>\n",
              "      <td>day hous</td>\n",
              "      <td>0.811081</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>156</th>\n",
              "      <td>china fresh fruit juic goblet way</td>\n",
              "      <td>0.811081</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>155</th>\n",
              "      <td>leblanc hous victorian gem im glad choos bb co...</td>\n",
              "      <td>0.811081</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>34</th>\n",
              "      <td>great host</td>\n",
              "      <td>0.811081</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>35</th>\n",
              "      <td>great breakfast</td>\n",
              "      <td>0.811081</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>36</th>\n",
              "      <td>stay comfort extra bed</td>\n",
              "      <td>0.811081</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>37</th>\n",
              "      <td>friend travel</td>\n",
              "      <td>0.811081</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>38</th>\n",
              "      <td>busi schedul town room clean bed</td>\n",
              "      <td>0.811081</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>39</th>\n",
              "      <td>quiet perfect tv anyth peac room way vacat com...</td>\n",
              "      <td>0.811081</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>40</th>\n",
              "      <td>ceil fan</td>\n",
              "      <td>0.811081</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>41</th>\n",
              "      <td>bite warm overnight</td>\n",
              "      <td>0.811081</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>43</th>\n",
              "      <td>wouldnt hesit second recommend bb friend famili</td>\n",
              "      <td>0.811081</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>143</th>\n",
              "      <td>bb id return</td>\n",
              "      <td>0.811081</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>142</th>\n",
              "      <td>northeast side walk distanc guthri theater wel...</td>\n",
              "      <td>0.811081</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>141</th>\n",
              "      <td>watch tv nnthe home</td>\n",
              "      <td>0.811081</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>158</th>\n",
              "      <td>glass detail wood work room</td>\n",
              "      <td>0.811081</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>42</th>\n",
              "      <td>open window room cool thing</td>\n",
              "      <td>0.811081</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                                                  word       pmi\n",
              "9                             use din room parent host -0.289734\n",
              "8                                       swedish pancak -0.289734\n",
              "7                                    weekend breakfast -0.289734\n",
              "6        prepar fruit high qualiti coffe delici pastri -0.289734\n",
              "5                  great join parent last morn impress -0.289734\n",
              "3                                      accommod welcom -0.289734\n",
              "31                                   stay memor weubll -0.289734\n",
              "147                                           ive stay -0.200520\n",
              "82                                        walk distanc -0.177531\n",
              "92                          next time visit minneapoli  0.405615\n",
              "109                                          coffe tea  0.405615\n",
              "71                                        mani attract  0.405615\n",
              "67                                         comfort bed  0.656930\n",
              "159                                  travel minneapoli  0.811081\n",
              "66                                       import requir  0.811081\n",
              "68                              delici breakfast owner  0.811081\n",
              "184                               bank stadium couldnt  0.811081\n",
              "185       experi home bed comfort clean breakfast amaz  0.811081\n",
              "186                                   downtown concert  0.811081\n",
              "187                                    area littl bite  0.811081\n",
              "188  cant forget mention toto dog absolut sweethear...  0.811081\n",
              "189                 leblanc hous anyon visit twin citi  0.811081\n",
              "69        carlson famou swedish pancak wonder bb locat  0.811081\n",
              "70                          walk distanc downtown area  0.811081\n",
              "72           target field hous room clean comfort home  0.811081\n",
              "73                                 suit bathroom wi fi  0.811081\n",
              "74                               welcom friendli owner  0.811081\n",
              "65                                       le blanc hous  0.811081\n",
              "138                            classic victorian relax  0.811081\n",
              "139  tabl hungri fault host coffe delici fruit yogu...  0.811081\n",
              "140  frittata secondnnconfort bed clean bright room...  0.811081\n",
              "33   locat right heart downtown minneapoli nice are...  0.811081\n",
              "32                              first locat bb couldnt  0.811081\n",
              "157                                           day hous  0.811081\n",
              "156                  china fresh fruit juic goblet way  0.811081\n",
              "155  leblanc hous victorian gem im glad choos bb co...  0.811081\n",
              "34                                          great host  0.811081\n",
              "35                                     great breakfast  0.811081\n",
              "36                              stay comfort extra bed  0.811081\n",
              "37                                       friend travel  0.811081\n",
              "38                    busi schedul town room clean bed  0.811081\n",
              "39   quiet perfect tv anyth peac room way vacat com...  0.811081\n",
              "40                                            ceil fan  0.811081\n",
              "41                                 bite warm overnight  0.811081\n",
              "43     wouldnt hesit second recommend bb friend famili  0.811081\n",
              "143                                       bb id return  0.811081\n",
              "142  northeast side walk distanc guthri theater wel...  0.811081\n",
              "141                                watch tv nnthe home  0.811081\n",
              "158                        glass detail wood work room  0.811081\n",
              "42                         open window room cool thing  0.811081"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 37
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "XWNaqrdmFdtp",
        "colab_type": "text"
      },
      "source": [
        "People like the top rated hotel LeBlanc House Bed and Breakfast because of the food. They showed up frequently in the high PMI terms. However, it is difficult to conclude reason for negative reviews. \n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "T7nTBWE9E9gj",
        "colab_type": "code",
        "outputId": "1fde6e05-b532-42ae-f900-d27973e96786",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 68
        }
      },
      "source": [
        "bottom_hotel_vocabulary = [x for x in get_term_count(bottom_hotel_df.noun_phrases.values).keys()]\n",
        "bottom_rated_hotel_sentiments_df = create_sentiments2terms(reviews_df, bottom_hotel_vocabulary, 'noun_phrases')\n",
        "pmiposlist_bottom_hotel, pmineglist_bottom_hotel, pmidf_bottom_hotel = pmiForAllCal(bottom_rated_hotel_sentiments_df, bottom_hotel_vocabulary)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "100%|██████████| 25/25 [00:00<00:00, 10502.56it/s]\n",
            "100%|██████████| 3250/3250 [00:00<00:00, 49387.30it/s]\n",
            "100%|██████████| 287/287 [00:05<00:00, 53.98it/s]\n"
          ],
          "name": "stderr"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "mDjXIf27FOho",
        "colab_type": "code",
        "outputId": "a45afff8-0fe4-4a54-cfa9-9aef0db06b81",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1599
        }
      },
      "source": [
        "pmiposlist_bottom_hotel.sort_values(by=['pmi']).tail(50)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>word</th>\n",
              "      <th>pmi</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>147</th>\n",
              "      <td>cozinha para uso quarto amplosnvocuea tem</td>\n",
              "      <td>-0.412058</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>148</th>\n",
              "      <td>fazer amizadesna localizaueueo ue uftima poi e...</td>\n",
              "      <td>-0.412058</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>149</th>\n",
              "      <td>downtownngreat servic use kitchen room</td>\n",
              "      <td>-0.412058</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>150</th>\n",
              "      <td>opportun meet peopl world</td>\n",
              "      <td>-0.412058</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>151</th>\n",
              "      <td>friendsnit minut</td>\n",
              "      <td>-0.412058</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>152</th>\n",
              "      <td>room clean comfortablegreat commun</td>\n",
              "      <td>-0.412058</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>136</th>\n",
              "      <td>beauti hostel renov</td>\n",
              "      <td>-0.412058</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>90</th>\n",
              "      <td>contact problem phone number avail call</td>\n",
              "      <td>-0.412058</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>286</th>\n",
              "      <td>nnoveral hostel scari filthi old overal nightm...</td>\n",
              "      <td>-0.412058</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>89</th>\n",
              "      <td>sinknnno staff front desk charg care luggag of...</td>\n",
              "      <td>-0.412058</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75</th>\n",
              "      <td>night great old hous</td>\n",
              "      <td>-0.412058</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>72</th>\n",
              "      <td>lack space cleanli issu</td>\n",
              "      <td>-0.412058</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>76</th>\n",
              "      <td>origin era come room good bathroom bite dodgi</td>\n",
              "      <td>-0.412058</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>78</th>\n",
              "      <td>hous build kitchen huge easi use</td>\n",
              "      <td>-0.412058</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>71</th>\n",
              "      <td>overal hostel decent place maintain</td>\n",
              "      <td>-0.412058</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>80</th>\n",
              "      <td>bu road</td>\n",
              "      <td>-0.412058</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>70</th>\n",
              "      <td>mani eateri small retail outlet mani fantast e...</td>\n",
              "      <td>-0.412058</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>69</th>\n",
              "      <td>hostel locat</td>\n",
              "      <td>-0.412058</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>74</th>\n",
              "      <td>hostel overal space cleanli</td>\n",
              "      <td>-0.412058</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>67</th>\n",
              "      <td>local peopl</td>\n",
              "      <td>-0.412058</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>68</th>\n",
              "      <td>speak opinion</td>\n",
              "      <td>-0.412058</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>82</th>\n",
              "      <td>hostel late nigh heat wasnt work wasfreezingw ...</td>\n",
              "      <td>-0.412058</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>83</th>\n",
              "      <td>repli minnesota winter</td>\n",
              "      <td>-0.412058</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>66</th>\n",
              "      <td>threaten local suppos statement</td>\n",
              "      <td>-0.412058</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>84</th>\n",
              "      <td>blanket provid stinkyfilthi antihygienicand</td>\n",
              "      <td>-0.412058</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>85</th>\n",
              "      <td>enough way</td>\n",
              "      <td>-0.412058</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>86</th>\n",
              "      <td>bath courtain</td>\n",
              "      <td>-0.412058</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>87</th>\n",
              "      <td>clean bathroom</td>\n",
              "      <td>-0.412058</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>88</th>\n",
              "      <td>swipe paper towel clean hair</td>\n",
              "      <td>-0.412058</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>73</th>\n",
              "      <td>hostel budget requir</td>\n",
              "      <td>-0.412058</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>163</th>\n",
              "      <td>room feel</td>\n",
              "      <td>-0.124376</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>217</th>\n",
              "      <td>great place stay</td>\n",
              "      <td>-0.124376</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>58</th>\n",
              "      <td>high speed</td>\n",
              "      <td>-0.124376</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>57</th>\n",
              "      <td>work time</td>\n",
              "      <td>-0.124376</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>stay hostel</td>\n",
              "      <td>-0.124376</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>173</th>\n",
              "      <td>bed breakfast</td>\n",
              "      <td>-0.124376</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>39</th>\n",
              "      <td>citi street</td>\n",
              "      <td>-0.124376</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>263</th>\n",
              "      <td>neg review</td>\n",
              "      <td>-0.124376</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>81</th>\n",
              "      <td>downtown minneapoli staff</td>\n",
              "      <td>-0.124376</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>27</th>\n",
              "      <td>grand hotel</td>\n",
              "      <td>-0.124376</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>181</th>\n",
              "      <td>lot restaur</td>\n",
              "      <td>-0.124376</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>253</th>\n",
              "      <td>recommend travel</td>\n",
              "      <td>-0.124376</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>216</th>\n",
              "      <td>room pay</td>\n",
              "      <td>-0.124376</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>178</th>\n",
              "      <td>great place</td>\n",
              "      <td>-0.093604</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>77</th>\n",
              "      <td>long time</td>\n",
              "      <td>-0.055383</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>180</th>\n",
              "      <td>hotel locat</td>\n",
              "      <td>-0.037364</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>103</th>\n",
              "      <td>ive stay</td>\n",
              "      <td>-0.037364</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>230</th>\n",
              "      <td>book night</td>\n",
              "      <td>-0.006593</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>hotel room</td>\n",
              "      <td>-0.006593</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>108</th>\n",
              "      <td>downtown minneapoli</td>\n",
              "      <td>0.141327</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                                                  word       pmi\n",
              "147          cozinha para uso quarto amplosnvocuea tem -0.412058\n",
              "148  fazer amizadesna localizaueueo ue uftima poi e... -0.412058\n",
              "149             downtownngreat servic use kitchen room -0.412058\n",
              "150                          opportun meet peopl world -0.412058\n",
              "151                                   friendsnit minut -0.412058\n",
              "152                 room clean comfortablegreat commun -0.412058\n",
              "136                                beauti hostel renov -0.412058\n",
              "90             contact problem phone number avail call -0.412058\n",
              "286  nnoveral hostel scari filthi old overal nightm... -0.412058\n",
              "89   sinknnno staff front desk charg care luggag of... -0.412058\n",
              "75                                night great old hous -0.412058\n",
              "72                             lack space cleanli issu -0.412058\n",
              "76       origin era come room good bathroom bite dodgi -0.412058\n",
              "78                    hous build kitchen huge easi use -0.412058\n",
              "71                 overal hostel decent place maintain -0.412058\n",
              "80                                             bu road -0.412058\n",
              "70   mani eateri small retail outlet mani fantast e... -0.412058\n",
              "69                                        hostel locat -0.412058\n",
              "74                         hostel overal space cleanli -0.412058\n",
              "67                                         local peopl -0.412058\n",
              "68                                       speak opinion -0.412058\n",
              "82   hostel late nigh heat wasnt work wasfreezingw ... -0.412058\n",
              "83                              repli minnesota winter -0.412058\n",
              "66                     threaten local suppos statement -0.412058\n",
              "84         blanket provid stinkyfilthi antihygienicand -0.412058\n",
              "85                                          enough way -0.412058\n",
              "86                                       bath courtain -0.412058\n",
              "87                                      clean bathroom -0.412058\n",
              "88                        swipe paper towel clean hair -0.412058\n",
              "73                                hostel budget requir -0.412058\n",
              "163                                          room feel -0.124376\n",
              "217                                   great place stay -0.124376\n",
              "58                                          high speed -0.124376\n",
              "57                                           work time -0.124376\n",
              "3                                          stay hostel -0.124376\n",
              "173                                      bed breakfast -0.124376\n",
              "39                                         citi street -0.124376\n",
              "263                                         neg review -0.124376\n",
              "81                           downtown minneapoli staff -0.124376\n",
              "27                                         grand hotel -0.124376\n",
              "181                                        lot restaur -0.124376\n",
              "253                                   recommend travel -0.124376\n",
              "216                                           room pay -0.124376\n",
              "178                                        great place -0.093604\n",
              "77                                           long time -0.055383\n",
              "180                                        hotel locat -0.037364\n",
              "103                                           ive stay -0.037364\n",
              "230                                         book night -0.006593\n",
              "13                                          hotel room -0.006593\n",
              "108                                downtown minneapoli  0.141327"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 39
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "QOoc09NmFTFA",
        "colab_type": "code",
        "outputId": "1bbb2055-887f-4ed4-b56b-ab8cf68f2ab2",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1599
        }
      },
      "source": [
        "pmineglist_bottom_hotel.sort_values(by=['pmi']).tail(50)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
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              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>word</th>\n",
              "      <th>pmi</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>20</th>\n",
              "      <td>hotel standard rat</td>\n",
              "      <td>-0.289734</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>19</th>\n",
              "      <td>dorm ufnight hous old need work</td>\n",
              "      <td>-0.289734</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>42</th>\n",
              "      <td>short walk distanc hostel</td>\n",
              "      <td>-0.289734</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>hotel room</td>\n",
              "      <td>-0.287532</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>180</th>\n",
              "      <td>hotel locat</td>\n",
              "      <td>-0.200520</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>103</th>\n",
              "      <td>ive stay</td>\n",
              "      <td>-0.200520</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>217</th>\n",
              "      <td>great place stay</td>\n",
              "      <td>0.000150</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>178</th>\n",
              "      <td>great place</td>\n",
              "      <td>0.117933</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>279</th>\n",
              "      <td>ladi front desk</td>\n",
              "      <td>0.117933</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>141</th>\n",
              "      <td>locat tremend hostel great staff</td>\n",
              "      <td>0.811081</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>91</th>\n",
              "      <td>downtown drunken night call hostel stay place ...</td>\n",
              "      <td>0.811081</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>116</th>\n",
              "      <td>front desk person</td>\n",
              "      <td>0.811081</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>117</th>\n",
              "      <td>refund explain</td>\n",
              "      <td>0.811081</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>118</th>\n",
              "      <td>leav look uncomfort say</td>\n",
              "      <td>0.811081</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>119</th>\n",
              "      <td>machin didnt</td>\n",
              "      <td>0.811081</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>120</th>\n",
              "      <td>visa refund</td>\n",
              "      <td>0.811081</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>121</th>\n",
              "      <td>expediacom book radisson</td>\n",
              "      <td>0.811081</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>122</th>\n",
              "      <td>downtown minneapoli night</td>\n",
              "      <td>0.811081</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>115</th>\n",
              "      <td>scrub sink order prepar breakfast</td>\n",
              "      <td>0.811081</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>123</th>\n",
              "      <td>forth email start chequ issu manag tuesday sign</td>\n",
              "      <td>0.811081</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>125</th>\n",
              "      <td>name david david</td>\n",
              "      <td>0.811081</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>126</th>\n",
              "      <td>staff promis refund</td>\n",
              "      <td>0.811081</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>127</th>\n",
              "      <td>rude david</td>\n",
              "      <td>0.811081</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>128</th>\n",
              "      <td>refund hang</td>\n",
              "      <td>0.811081</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>129</th>\n",
              "      <td>experi great visit radisson blu excel</td>\n",
              "      <td>0.811081</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>144</th>\n",
              "      <td>hostel guest</td>\n",
              "      <td>0.811081</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>142</th>\n",
              "      <td>welcom ea</td>\n",
              "      <td>0.811081</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>124</th>\n",
              "      <td>month phone</td>\n",
              "      <td>0.811081</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>79</th>\n",
              "      <td>good locat</td>\n",
              "      <td>0.811081</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>114</th>\n",
              "      <td>hous paint someon use mop bad nose bleed bathr...</td>\n",
              "      <td>0.811081</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>112</th>\n",
              "      <td>cheap lessen pain stay case</td>\n",
              "      <td>0.811081</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>92</th>\n",
              "      <td>recommend hostel</td>\n",
              "      <td>0.811081</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>93</th>\n",
              "      <td>ive read review</td>\n",
              "      <td>0.811081</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>94</th>\n",
              "      <td>point view valid want stress cleanli</td>\n",
              "      <td>0.811081</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>95</th>\n",
              "      <td>clean mih</td>\n",
              "      <td>0.811081</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>96</th>\n",
              "      <td>hostel good locat</td>\n",
              "      <td>0.811081</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>193</th>\n",
              "      <td>world your stay</td>\n",
              "      <td>0.811081</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>192</th>\n",
              "      <td>bunch travel</td>\n",
              "      <td>0.811081</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>113</th>\n",
              "      <td>arriv present sheet towel mismatch</td>\n",
              "      <td>0.811081</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>191</th>\n",
              "      <td>day privat room</td>\n",
              "      <td>0.811081</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>189</th>\n",
              "      <td>street minneapoli</td>\n",
              "      <td>0.811081</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>188</th>\n",
              "      <td>stay cute old mansion</td>\n",
              "      <td>0.811081</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>97</th>\n",
              "      <td>dont think clean</td>\n",
              "      <td>0.811081</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>98</th>\n",
              "      <td>inform avail citi thing ok place</td>\n",
              "      <td>0.811081</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>109</th>\n",
              "      <td>book onlin partner stay privat room</td>\n",
              "      <td>0.811081</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>110</th>\n",
              "      <td>intern hostel night cost</td>\n",
              "      <td>0.811081</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>111</th>\n",
              "      <td>night night review</td>\n",
              "      <td>0.811081</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>190</th>\n",
              "      <td>art coupl block favorit restaur</td>\n",
              "      <td>0.811081</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>143</th>\n",
              "      <td>addit mani interest convers</td>\n",
              "      <td>0.811081</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>145</th>\n",
              "      <td>good time</td>\n",
              "      <td>1.098763</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                                                  word       pmi\n",
              "20                                  hotel standard rat -0.289734\n",
              "19                     dorm ufnight hous old need work -0.289734\n",
              "42                           short walk distanc hostel -0.289734\n",
              "13                                          hotel room -0.287532\n",
              "180                                        hotel locat -0.200520\n",
              "103                                           ive stay -0.200520\n",
              "217                                   great place stay  0.000150\n",
              "178                                        great place  0.117933\n",
              "279                                    ladi front desk  0.117933\n",
              "141                   locat tremend hostel great staff  0.811081\n",
              "91   downtown drunken night call hostel stay place ...  0.811081\n",
              "116                                  front desk person  0.811081\n",
              "117                                     refund explain  0.811081\n",
              "118                            leav look uncomfort say  0.811081\n",
              "119                                       machin didnt  0.811081\n",
              "120                                        visa refund  0.811081\n",
              "121                           expediacom book radisson  0.811081\n",
              "122                          downtown minneapoli night  0.811081\n",
              "115                  scrub sink order prepar breakfast  0.811081\n",
              "123    forth email start chequ issu manag tuesday sign  0.811081\n",
              "125                                   name david david  0.811081\n",
              "126                                staff promis refund  0.811081\n",
              "127                                         rude david  0.811081\n",
              "128                                        refund hang  0.811081\n",
              "129              experi great visit radisson blu excel  0.811081\n",
              "144                                       hostel guest  0.811081\n",
              "142                                          welcom ea  0.811081\n",
              "124                                        month phone  0.811081\n",
              "79                                          good locat  0.811081\n",
              "114  hous paint someon use mop bad nose bleed bathr...  0.811081\n",
              "112                        cheap lessen pain stay case  0.811081\n",
              "92                                    recommend hostel  0.811081\n",
              "93                                     ive read review  0.811081\n",
              "94                point view valid want stress cleanli  0.811081\n",
              "95                                           clean mih  0.811081\n",
              "96                                   hostel good locat  0.811081\n",
              "193                                    world your stay  0.811081\n",
              "192                                       bunch travel  0.811081\n",
              "113                 arriv present sheet towel mismatch  0.811081\n",
              "191                                    day privat room  0.811081\n",
              "189                                  street minneapoli  0.811081\n",
              "188                              stay cute old mansion  0.811081\n",
              "97                                    dont think clean  0.811081\n",
              "98                    inform avail citi thing ok place  0.811081\n",
              "109                book onlin partner stay privat room  0.811081\n",
              "110                           intern hostel night cost  0.811081\n",
              "111                                 night night review  0.811081\n",
              "190                    art coupl block favorit restaur  0.811081\n",
              "143                        addit mani interest convers  0.811081\n",
              "145                                          good time  1.098763"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 40
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "hx_OcxAsFfYn",
        "colab_type": "text"
      },
      "source": [
        "People don't like the Minneapolis International Hostel because of the old amenities, staff rudeness, refund, and prices. On the other hand, people likes the the hotel because of its location and neighborhood. "
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "R19T7t9R4PmB",
        "colab_type": "text"
      },
      "source": [
        "# PMI vs MI\n",
        "PMI is a better metrics in this case as it can solely focus on presence of a phrase as a predictive feature of positive or negative, rather than being distracted by absence of phrases as features. \n",
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "RvDy-2Dx3QiJ",
        "colab_type": "text"
      },
      "source": [
        "Show separate histograms of ground truth and Vader sentiment scores (ignore hotel ID).\n",
        "Do you notice any interesting di\u000berences?"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "n7hPt0EeIO8l",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "def getHistogram(measure, title, df):\n",
        "    if measure=='both':\n",
        "        x = [df['score'].values/5]\n",
        "        y = [df['vader_sentiment'].values]\n",
        "        bins = np.linspace(-1, 1, 100)\n",
        "        plt.title(title)\n",
        "        plt.hist(x, bins, label='x')\n",
        "        plt.hist(y, bins, label='y')\n",
        "        plt.legend(loc='upper right')\n",
        "        plt.show()\n",
        "    else:\n",
        "        plt.hist(df[measure].values)\n",
        "        plt.title(title)\n",
        "        plt.xlabel(\"Value\")\n",
        "        plt.ylabel(\"Frequency\")\n",
        "        fig = plt.gcf()"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "MtCpJtk3IQKt",
        "colab_type": "code",
        "outputId": "2de49fc1-0acb-490e-c9fa-5fcc0c3adb6c",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 295
        }
      },
      "source": [
        "getHistogram('score', 'Ground Truth', reviews_df)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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O36iqra3bRnqhRPt6e3vv1iT30jtV9fX+9SZZDawGOOCAA2ZaliRpOwY9stgXeLBv/sHW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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "BiEzAGRGI0_M",
        "colab_type": "code",
        "outputId": "674850ed-8484-45f8-be61-d5f2620d2225",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 295
        }
      },
      "source": [
        "getHistogram('vader_sentiment', 'Vadar Sentiment Analysis', reviews_df)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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2MzNroUaPWRwP/ETSU4CAzYB/7OnCJG0eEYtT72FA7Uyp6cBVks4GtgBGAXenZY2StA1F\nSIwHPtPT5ZqZWd80FBYRcY+k9wI7pKbHIuKv3U0j6WpgT2CopIXAqcCeksYAAcwHvpDmP1fStRQH\nrl8DJpcOph8HzAQGAVMjYm6PnqGZmfVZo1sWAB8BRqZpdpZERFze1cgRMaFO8yXdjH8GcEad9hnA\njB7UaWZmTdZQWEj6EcWB6fuB11NzAF2GhZmZrT4a3bIYC4yOiKiyGDMza0+Nng31EMVBbTMzG4Aa\n3bIYCjws6W5gZa0xIg6ppCozM2srjYbFaVUWYWZm7a3RU2d/I2lrYFRE3CRpfYpTWc3MbABo9BLl\nnwemARelphHAz6sqyszM2kujB7gnA7sDy+HNGyFtWlVRZmbWXhoNi5UR8WqtR9KaFL+zMDOzAaDR\nsPiNpJOB9dK9t38C3FBdWWZm1k4aDYspwFLgQYrrOc2g6zvkmZnZaqbRs6FqlxT/YbXlmJlZO2r0\n2lBPUOcYRURs2/SKzMys7fTk2lA16wL/AAxpfjlmZtaOGjpmERHPlR6LIuK7wEEV12ZmZm2i0d1Q\nO5d616DY0ujJvTDMzGwV1ugH/lml7tco7nJ3RNOrMTOzttTo2VB7VV2ImZm1r0Z3Q32lu+ERcXZz\nyjEzs3bUk7OhPgJMT/0HA3cD86ooyszM2kujYbElsHNEvAQg6TTglxFxZFWFmZlZ+2j0ch/DgVdL\n/a+mNjMzGwAa3bK4HLhb0nWp/1DgsmpKMjOzdtPo2VBnSLoR+HhqOiYi7quuLDMzayeN7oYCWB9Y\nHhHnAgslbVNRTWZm1mYava3qqcCJwEmpaS3giqqKMjOz9tLolsVhwCHAnwEi4ilgw6qKMjOz9tJo\nWLwaEUG6TLmkd1VXkpmZtZtGw+JaSRcBm0j6PHATvhGSmdmA0ejZUN9J995eDuwAfD0iZlVamZmZ\ntY1sWEgaBNyULibogDAzG4Cyu6Ei4nXgDUkbt6AeMzNrQ43+gnsF8KCkWaQzogAi4v9UUpWZmbWV\nRg9w/wz4f8DtwJzSo0uSpkpaIumhUtsQSbMkzUt/B6d2STpPUoekB8p35pM0MY0/T9LEnj5BMzPr\nu263LCT9TUT8KSJ6cx2oS4HzKa4rVTMFuDkizpQ0JfWfCBwAjEqPXYELgF0lDQFOpbhEegBzJE2P\niOd7UY+ZmfVSbsvi57UOST/tyYwj4nZgWafmcbx1AcLLKC5IWGu/PAp3UpyiuzmwHzArIpalgJgF\n7N+TOszMrO9yYaFS97ZNWN7wiFicup/mrcucjwAWlMZbmNq6an9nodIkSbMlzV66dGkTSjUzs5pc\nWEQX3X1W/kV4k+Z3cUSMjYixw4YNa9ZszcyMfFh8SNJySS8BH0zdyyW9JGl5L5b3TNq9RPq7JLUv\nArYqjbdlauuq3czMWqjbsIiIQRGxUURsGBFrpu5a/0a9WN50oHZG00Tg+lL7UemsqN2AF9PuqpnA\nvpIGpzOn9k1tZmbWQo3+zqLHJF0N7AkMlbSQ4qymMymuM3Us8CRwRBp9BnAg0AG8DBwDEBHLJH0D\nuCeNd3pEdD5obmZmFassLCJiQheD9q4zbgCTu5jPVGBqE0szM7Me6smd8szMbIByWJiZWZbDwszM\nshwWZmaW5bAwM7Msh4WZmWU5LMzMLMthYWZmWQ4LMzPLcliYmVmWw8LMzLIcFmZmluWwMDOzLIeF\nmZllOSzMzCzLYWFmZlkOCzMzy3JYmJlZlsPCzMyyHBZmZpblsDAzsyyHhZmZZTkszMwsy2FhZmZZ\nDgszM8tyWJiZWZbDwszMshwWZmaW5bAwM7Msh4WZmWU5LMzMLMthYWZmWQ4LMzPL6pewkDRf0oOS\n7pc0O7UNkTRL0rz0d3Bql6TzJHVIekDSzv1Rs5nZQNafWxZ7RcSYiBib+qcAN0fEKODm1A9wADAq\nPSYBF7S8UjOzAa6ddkONAy5L3ZcBh5baL4/CncAmkjbvjwLNzAaq/gqLAH4taY6kSalteEQsTt1P\nA8NT9whgQWnahantbSRNkjRb0uylS5dWVbeZ2YC0Zj8t92MRsUjSpsAsSY+WB0ZESIqezDAiLgYu\nBhg7dmyPpjUzs+71y5ZFRCxKf5cA1wG7AM/Udi+lv0vS6IuArUqTb5nazMysRVoeFpLeJWnDWjew\nL/AQMB2YmEabCFyfuqcDR6WzonYDXiztrjIzsxboj91Qw4HrJNWWf1VE/ErSPcC1ko4FngSOSOPP\nAA4EOoCXgWNaX7KZ2cDW8rCIiMeBD9Vpfw7Yu057AJNbUJqZmXWhnU6dNTOzNuWwMDOzLIeFmZll\nOSzMzCzLYWFmZlkOCzMzy3JYmJlZlsPCzMyyHBZmZpblsDAzsyyHhZmZZTkszMwsy2FhZmZZDgsz\nM8tyWJiZWZbDwszMsvrjTnlmZi0xcsov+7uE1Ya3LMzMLMthYWZmWQ4LMzPLcliYmVmWw8LMzLIc\nFmZmluWwMDOzLIeFmZllOSzMzCzLv+A2s8r5l9SrPodFHf31xp5/5kH9slwzsxzvhjIzsyyHhZmZ\nZTkszMwsy8cs2shAPAjYX8dpBuK6NusLb1mYmVnWKrNlIWl/4FxgEPCfEXFmP5dkTeBv+GarhlVi\ny0LSIOD7wAHAaGCCpNH9W5WZ2cCxSoQFsAvQERGPR8SrwDXAuH6uycxswFhVdkONABaU+hcCu5ZH\nkDQJmJR6V0h6rJfLGgo828tpq+S6esZ19Vy71ua6ekDf6lNdW3c1YFUJi6yIuBi4uK/zkTQ7IsY2\noaSmcl0947p6rl1rc109U1Vdq8puqEXAVqX+LVObmZm1wKoSFvcAoyRtI2ltYDwwvZ9rMjMbMFaJ\n3VAR8Zqk44CZFKfOTo2IuRUtrs+7siriunrGdfVcu9bmunqmkroUEVXM18zMViOrym4oMzPrRw4L\nMzPLGnBhIekfJM2V9IakLk8vk7S/pMckdUiaUmrfRtJdqf3H6YB7s2obImmWpHnp7+A64+wl6f7S\n4y+SDk3DLpX0RGnYmFbVlcZ7vbTs6aX2StZZg+trjKQ70mv+gKR/LA1r6vrq6j1TGr5Oev4daX2M\nLA07KbU/Jmm/vtTRi7q+IunhtH5ulrR1aVjd17RFdR0taWlp+Z8rDZuYXvd5kia2uK5zSjX9QdIL\npWFVrq+pkpZIeqiL4ZJ0Xqr7AUk7l4b1fX1FxIB6AO8DdgBuA8Z2Mc4g4I/AtsDawO+B0WnYtcD4\n1H0h8KUm1vZtYErqngJ8KzP+EGAZsH7qvxQ4vIJ11lBdwIou2itZZ43UBWwPjErdWwCLgU2avb66\ne8+UxvkycGHqHg/8OHWPTuOvA2yT5jOohXXtVXoPfalWV3evaYvqOho4v860Q4DH09/BqXtwq+rq\nNP7/pjjhptL1leb9CWBn4KEuhh8I3AgI2A24q5nra8BtWUTEIxGR+3V33cuLSBLwSWBaGu8y4NAm\nljcuzbPReR8O3BgRLzexhnp6WtebKl5n2boi4g8RMS91PwUsAYY1aflljVySplzvNGDvtH7GAddE\nxMqIeALoSPNrSV0RcWvpPXQnxe+YqtaXS/jsB8yKiGUR8TwwC9i/n+qaAFzdpGV3KyJup/hy2JVx\nwOVRuBPYRNLmNGl9DbiwaFC9y4uMAN4NvBARr3Vqb5bhEbE4dT8NDM+MP553vlHPSJug50hap8V1\nrStptqQ7a7vGqHad9Wh9SdqF4tviH0vNzVpfXb1n6o6T1seLFOunkWmrrKvsWIpvpzX1XtNW1vX3\n6fWZJqn2w9y2WF9pd902wC2l5qrWVyO6qr0p62uV+J1FT0m6CdiszqBTIuL6VtdT1l1t5Z6ICEld\nntecvjF8gOK3JzUnUXxork1xrvWJwOktrGvriFgkaVvgFkkPUnwg9lqT19ePgIkR8UZq7vX6Wh1J\nOhIYC+xRan7HaxoRf6w/h6a7Abg6IlZK+gLFVtknW7TsRowHpkXE66W2/lxflVotwyIi9unjLLq6\nvMhzFJt2a6Zvhj2+7Eh3tUl6RtLmEbE4fbgt6WZWRwDXRcRfS/OufcteKem/gK+2sq6IWJT+Pi7p\nNmAn4Kf0YZ01oy5JGwG/pPiycGdp3r1eX3U0ckma2jgLJa0JbEzxnqrycjYNzVvSPhQBvEdErKy1\nd/GaNuPDL1tXRDxX6v1PimNUtWn37DTtbU2oqaG6SsYDk8sNFa6vRnRVe1PWl3dD1Vf38iJRHC26\nleJYAcBEoJlbKtPTPBuZ9zv2laYPzNpxgkOBumdNVFGXpMG13TiShgK7Aw9XvM4aqWtt4DqKfbnT\nOg1r5vpq5JI05XoPB25J62c6MF7F2VLbAKOAu/tQS4/qkrQTcBFwSEQsKbXXfU1bWNfmpd5DgEdS\n90xg31TfYGBf3r6FXWldqbb3UhwsvqPUVuX6asR04Kh0VtRuwIvpC1Fz1ldVR+7b9QEcRrHPbiXw\nDDAztW8BzCiNdyDwB4pvBaeU2rel+EfuAH4CrNPE2t4N3AzMA24ChqT2sRR3B6yNN5Li28Ianaa/\nBXiQ4kPvCmCDVtUF/G1a9u/T32OrXmcN1nUk8Ffg/tJjTBXrq957hmK31iGpe930/DvS+ti2NO0p\nabrHgAOa/J7P1XVT+l+orZ/pude0RXX9OzA3Lf9W4L2laf9XWo8dwDGtrCv1nwac2Wm6qtfX1RRn\n8/2V4jPsWOCLwBfTcFHcJO6PafljS9P2eX35ch9mZpbl3VBmZpblsDAzsyyHhZmZZTkszMwsy2Fh\nZmZZDguzXpJ0qzpdIVbS8ZIu6GaaFdVXZtZ8Dguz3rua4kdbZfWu12W2ynNYmPXeNOCg9EtfVNyf\nYgvgPhX3hbhX0oOS3nHVUkl7SvpFqf98SUen7g9L+o2kOZJmdvols1m/cFiY9VJELKP4JfYBqWk8\nxb07XgEOi4idKe4VcVa6pEiWpLWA71HcZ+PDwFTgjGbXbtZTq+WFBM1aqLYr6vr091iKyy78m6RP\nAG9QXA56OMUVbnN2AN4PzEr5MojiEg9m/cphYdY31wPnqLiF5foRMSftThoGfDgi/ippPsV1ocpe\n4+1b9rXhAuZGxEerLdusZ7wbyqwPImIFxUXupvLWge2NgSUpKPYCtq4z6ZPA6HSl2U2AvVP7Y8Aw\nSR+FYreUpB0rfRJmDfCWhVnfXU1xGfTamVFXAjekmz/NBh7tPEFELJB0LcUVb58A7kvtr0o6HDhP\n0sYU/6Pfpbj6qlm/8VVnzcwsy7uhzMwsy2FhZmZZDgszM8tyWJiZWZbDwszMshwWZmaW5bAwM7Os\n/wHPrUMyk8MgywAAAABJRU5ErkJggg==\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "NF7vlK5r3cbm",
        "colab_type": "text"
      },
      "source": [
        "Show a histogram of the number of reviews per hotel. Do you notice any interesting\n",
        "trends? Are these expected?"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "csnGjeySJvFt",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "count_by_hotel = reviews_df[\"hotel_name\"].value_counts()"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "QORbnnzgLwki",
        "colab_type": "code",
        "outputId": "0f1eca48-9948-4c72-cf85-7599d6cdc147",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 753
        }
      },
      "source": [
        "n = range(len(count_by_hotel))\n",
        "plt.figure(figsize = (25,6))\n",
        "plt.bar(n, count_by_hotel.values)\n",
        "plt.title('Review Count')\n",
        "plt.xticks(n, count_by_hotel.index, rotation=90)\n",
        "plt.xlabel('hotel name')\n",
        "plt.ylabel('# of count')"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0, 0.5, '# of count')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 45
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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3d3wd2E6vC3P9P0nyh5neG16b5CeT/HZ3//0S9eceju/uQ5eqt5Me3pZknyQv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\n",
            "text/plain": [
              "<Figure size 1800x432 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "D653sJxV3oH0",
        "colab_type": "text"
      },
      "source": [
        "In two plots, one for ground truth star rating and one for Vader sentiment, show a plot of 5 side-by-side boxplots of these scores."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "RjQM9lOmOCzX",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "top5_hotels_by_average_review = reviews_df.groupby('hotel_name').mean().sort_values(by='score').index.values[-5:]\n",
        "top5_vadars, top5_scores = [], []\n",
        "for hotel in top5_hotels_by_average_review:\n",
        "    top5_vadars.append(reviews_df[reviews_df.hotel_name == hotel].vader_sentiment)\n",
        "    top5_scores.append(reviews_df[reviews_df.hotel_name == hotel].score)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ovAyUf-lq6dt",
        "colab_type": "code",
        "outputId": "5e6cb9f4-1cd0-494a-9950-285a6763f78c",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 513
        }
      },
      "source": [
        "plt.figure()\n",
        "plt.boxplot(top5_vadars)\n",
        "plt.show()\n",
        "plt.figure()\n",
        "plt.boxplot(top5_scores)\n",
        "plt.show()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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gs7OTdDo9Wx4nM0lxcHCQnp4eRkZGGBgYIJ1Ohx2aiFRIbQRSteHhYdLp9GxS\nTKVSsUyKIo2iXBuBEoGISEyosVhEREpSIhARiTklAhGRmFMiEBGJOSUCEZGYa8i7hszsEPBSyGGc\nDfwy5BiiQvviBO2LE7QvTojKvjjP3VfNL2zIRBAFZjZa6jasONK+OEH74gTtixOivi90aUhEJOaU\nCEREYk6JoHp7wg4gQrQvTtC+OEH74oRI7wu1EYiIxJxqBCIiMadEICISc0oEFTKzITN7zcxiPx+j\nmZ1rZnkz229mPzazPws7prCYWbuZ/dDMngr2xa6wYwqTmbWa2Y/M7G/DjiVsZvaimT1jZvvMLJLD\nJquNoEJm9gfAW8C97t4VdjxhMrPVwGp3/2czOwN4ErjK3feHHNqSMzMDVrj7W2bWBowAf+buj4cc\nWijM7LNAN/Bud//jsOMJk5m9CHS7exQ6lJWkGkGF3P0fgcNhxxEF7v6qu/9z8PhNoACsDTeqcPi0\nt4KnbcESy7MsM1sHXAZ8OexY5PQoEUhdmNkG4APAP4UbSXiCyyH7gNeAR9w9rvviL4EbgHfCDiQi\nHPgHM3vSzLaFHUwpSgRSMzP7DeBbwH9x9zfCjics7j7l7hcC64CLzCx2lw7N7I+B19z9ybBjiZAe\nd/9dYDPwmeDycqQoEUhNguvh3wK+7u4PhB1PFLj760AeuDTsWEJwMXBFcF38PuASM/tauCGFy90P\nBj9fA74NXBRuRCdTIpCqBQ2kg0DB3e8IO54wmdkqMzszePzvgI8A/xJuVEvP3W9y93XuvgG4Bsi5\n+5+EHFZozGxFcCMFZrYC+CgQuTsOlQgqZGbDwA+AC8zsZTMbCDumEF0MfJLps759wfJHYQcVktVA\n3syeBp5guo0g9rdOCucAI2b2FPBD4O/c/f+GHNNJdPuoiEjMqUYgIhJzSgQiIjGnRCAiEnNKBCIi\nMadEICISc0oEIiIxp0QgIhJz/x9n0s82N14rmwAAAABJRU5ErkJggg==\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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nkvoi4uVZ7fdI+nJMLVcn2z+VtCMiivN+fpukbZLU3d294eDBgzW/dj3Z1sTEhFatWnW6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\nHQASQaADQCIIdABIBIEOAIkg0AEgEf8PYY8Irm/KCv8AAAAASUVORK5CYII=\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "9Vjs6OXc32zD",
        "colab_type": "text"
      },
      "source": [
        "Report the mean and variance of the ground truth and Vader sentiment scores for the\n",
        "top-5 ranked hotels according to star rating."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "E1WM1r4AuntE",
        "colab_type": "code",
        "outputId": "a1cbaf9d-f2ce-40dd-8c7c-3822a21a6851",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 102
        }
      },
      "source": [
        "top5_hotels_by_average_review.tolist()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['Best Western Plus The Normandy Inn &amp; Suites',\n",
              " 'Hilton Garden Inn Minneapolis Downtown',\n",
              " 'The Wales House',\n",
              " 'Hampton Inn and Suites Minneapolis University Area',\n",
              " 'LeBlanc House Bed and Breakfast']"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 48
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "aK7V9gR_sEns",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "def print_mean_and_variabce(hotels, data):\n",
        "    print(\"\\t\\t\\t mean \\t\\t\\t variance\")\n",
        "    print()\n",
        "    for h, d in zip(hotels, data):\n",
        "        print(\"%s \\t %f \\t\\t %f\" % (h[:15], np.mean(d), np.var(d)))"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "lvu4rSpct1Xv",
        "colab_type": "code",
        "outputId": "620f6dfb-7921-4f86-bd52-c4c4b12e5d80",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 136
        }
      },
      "source": [
        "print_mean_and_variabce(top5_hotels_by_average_review, top5_vadars)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "\t\t\t mean \t\t\t variance\n",
            "\n",
            "Best Western Pl \t 0.791786 \t\t 0.126381\n",
            "Hilton Garden I \t 0.841146 \t\t 0.097826\n",
            "The Wales House \t 0.946625 \t\t 0.002656\n",
            "Hampton Inn and \t 0.856227 \t\t 0.068423\n",
            "LeBlanc House B \t 0.965125 \t\t 0.001027\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "KJxWjUGKuioW",
        "colab_type": "code",
        "outputId": "0aa69771-13b2-4caa-cc0b-6ca3d8fbac9e",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 136
        }
      },
      "source": [
        "print_mean_and_variabce(top5_hotels_by_average_review, top5_scores)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "\t\t\t mean \t\t\t variance\n",
            "\n",
            "Best Western Pl \t 4.480000 \t\t 0.689600\n",
            "Hilton Garden I \t 4.530000 \t\t 0.769100\n",
            "The Wales House \t 4.650000 \t\t 0.927500\n",
            "Hampton Inn and \t 4.650000 \t\t 0.567500\n",
            "LeBlanc House B \t 4.800000 \t\t 0.360000\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "fe55nF2q33Kz",
        "colab_type": "text"
      },
      "source": [
        "Plot box is a little bit more informative, as it provided information on min/max and quantiles, which cannot be drived from mean and variance. \n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "fENdVQgc4Klq",
        "colab_type": "text"
      },
      "source": [
        "Show both a scatterplot and heatmap of ground truth score (star rating) versus Vader\n",
        "sentiment score. Each review is a point on the scatterplot. Do you notice anything\n",
        "interesting? What does this tell you about star ratings vs. Vader sentiment scores?\n",
        "What does this tell you about human ratings and/or Vader sentiment analysis?"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "meLNOFeIe5Gb",
        "colab_type": "code",
        "outputId": "70123415-186c-43ff-ee06-462686ef4c66",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 296
        }
      },
      "source": [
        "y = reviews_df['score'].values\n",
        "x = reviews_df['vader_sentiment'].values\n",
        "plt.plot(x, y,\"o\")\n",
        "plt.ylabel('Rating')\n",
        "plt.xlabel('Vader Score')"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 0, 'Vader Score')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 52
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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OHtn1PMMjxfHyBhwT5PhNcYz2tjz7Xhyd0L+d7QHXXBi2J6n9tfqqMsbO9oBXzDmOTY8/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\nEBHJOCUCEZGMUyIQEck4JQIRkYz7/7DnwD7oy6ELAAAAAElFTkSuQmCC\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "-8D6OA3IfbEZ",
        "colab_type": "code",
        "outputId": "14285401-01f3-4881-a5b1-7e08d8018102",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 518
        }
      },
      "source": [
        "from scipy.stats.kde import gaussian_kde\n",
        "\n",
        "k = gaussian_kde(np.vstack([x, y]))\n",
        "xi, yi = np.mgrid[x.min():x.max():x.size**0.5*1j,y.min():y.max():y.size**0.5*1j]\n",
        "zi = k(np.vstack([xi.flatten(), yi.flatten()]))\n",
        "\n",
        "cmap = sns.cubehelix_palette(light=1, as_cmap=True)\n",
        "fig = plt.figure(figsize=(6,8))\n",
        "ax1 = fig.add_subplot(211)\n",
        "ax2 = fig.add_subplot(212)\n",
        "\n",
        "ax1.pcolormesh(xi, yi, np.log10(zi.reshape(xi.shape)), cmap=cmap)\n",
        "ax2.contourf(xi, yi, np.log10(zi.reshape(xi.shape)), cmap=cmap)\n",
        "\n",
        "ax1.set_xlim(x.min(), x.max())\n",
        "ax1.set_ylim(y.min(), y.max())\n",
        "ax2.set_xlim(x.min(), x.max())\n",
        "ax2.set_ylim(y.min(), y.max())\n",
        "\n",
        "ax1.set_xlabel('Vader Score')\n",
        "ax1.set_ylabel('Rating')\n",
        "\n",
        "ax2.set_xlabel('Vader Score')\n",
        "ax2.set_ylabel('Rating')"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0, 0.5, 'Rating')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 53
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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V1s/jtMvSWTdFaXx4Er5d3n7iPEht0WmKg3Z3qxs2mkrBXppGuzQOv9TG3hRZ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\nQmCC\n",
            "text/plain": [
              "<Figure size 432x576 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "e329C4s0K7eg",
        "colab_type": "text"
      },
      "source": [
        "All grapth presents trend that vadar works well with 5 star reviews. The way people write reviews could be fairly sentiment neutral or it incldues both pros/cons in the reviews. So unless the review is completely compliment on the hotel, vadar can be misled. "
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "6cAy6hvL4aPq",
        "colab_type": "text"
      },
      "source": [
        "Show two scatterplots and two heatmaps of the length of reviews versus each of ground\n",
        "truth score and Vader sentiment score. Each review is a point on the scatterplot. Are\n",
        "there any trends?"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Cv3DP2i6hKZf",
        "colab_type": "code",
        "outputId": "94c7fbf1-8c1a-4717-d283-b822735f63bb",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 296
        }
      },
      "source": [
        "length = [len(x) for x in reviews_df.tokenized_review.values]\n",
        "gt_sentiment = reviews_df.sentiment.values\n",
        "plt.plot(length, gt_sentiment,\"o\")\n",
        "plt.ylabel('Sentiment')\n",
        "plt.xlabel('Length')\n"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 0, 'Length')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 54
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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2U0NugUh6q6TfS7/3+GPg42S/A7kH2Fh0pZImS7pX0tPpeVKVNrMkPSjpcUmPSrogV3ez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\nAAAASUVORK5CYII=\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "FyCnrXjshrbb",
        "colab_type": "code",
        "outputId": "a2392043-8f48-4848-fb43-b60691729135",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 296
        }
      },
      "source": [
        "vadars = reviews_df.vader_sentiment.values\n",
        "plt.plot(length, vadars,\"o\")\n",
        "plt.ylabel('Vadars')\n",
        "plt.xlabel('Length')"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 0, 'Length')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 55
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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j8emBXZGJg4ZhGPUmqh/Ih4AbgUtxKt0+Btymqid0BFbvynn0PrGTkQQFFWd0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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "1cLWK3xqjLFH",
        "colab_type": "code",
        "outputId": "31289f08-7075-4eac-8389-9ba46f7899ae",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 518
        }
      },
      "source": [
        "x = np.array(length)\n",
        "y = np.array(gt_sentiment)\n",
        "\n",
        "k = gaussian_kde(np.vstack([x, y]))\n",
        "xi, yi = np.mgrid[x.min():x.max():x.size**0.5*1j,y.min():y.max():y.size**0.5*1j]\n",
        "zi = k(np.vstack([xi.flatten(), yi.flatten()]))\n",
        "\n",
        "cmap = sns.cubehelix_palette(light=1, as_cmap=True)\n",
        "fig = plt.figure(figsize=(6,8))\n",
        "ax1 = fig.add_subplot(211)\n",
        "ax2 = fig.add_subplot(212)\n",
        "\n",
        "ax1.pcolormesh(xi, yi, np.log10(zi.reshape(xi.shape)), cmap=cmap)\n",
        "ax2.contourf(xi, yi, np.log10(zi.reshape(xi.shape)), cmap=cmap)\n",
        "\n",
        "ax1.set_xlim(x.min(), x.max())\n",
        "ax1.set_ylim(y.min(), y.max())\n",
        "ax2.set_xlim(x.min(), x.max())\n",
        "ax2.set_ylim(y.min(), y.max())\n",
        "\n",
        "ax1.set_xlabel('Vader Score')\n",
        "ax1.set_ylabel('Rating')\n",
        "\n",
        "ax2.set_xlabel('Vader Score')\n",
        "ax2.set_ylabel('Rating')"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0, 0.5, 'Rating')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 56
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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1KV3xMLueM8nKj3XXM7fZl6bBqS/fO1vvp8l8Go2F8Rb6NLJ7qsSfBIutYDi+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\n",
            "text/plain": [
              "<Figure size 432x576 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "5phP9YELiBf7",
        "colab_type": "code",
        "outputId": "3df5cf5f-0a7f-43c3-954d-a1ae71139164",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 514
        }
      },
      "source": [
        "x = np.array(length)\n",
        "y = np.array(vadars)\n",
        "\n",
        "k = gaussian_kde(np.vstack([x, y]))\n",
        "xi, yi = np.mgrid[x.min():x.max():x.size**0.5*1j,y.min():y.max():y.size**0.5*1j]\n",
        "zi = k(np.vstack([xi.flatten(), yi.flatten()]))\n",
        "\n",
        "cmap = sns.cubehelix_palette(light=1, as_cmap=True)\n",
        "fig = plt.figure(figsize=(6,8))\n",
        "ax1 = fig.add_subplot(211)\n",
        "ax2 = fig.add_subplot(212)\n",
        "\n",
        "ax1.pcolormesh(xi, yi, np.log10(zi.reshape(xi.shape)), cmap=cmap)\n",
        "ax2.contourf(xi, yi, np.log10(zi.reshape(xi.shape)), cmap=cmap)\n",
        "\n",
        "ax1.set_xlim(x.min(), x.max())\n",
        "ax1.set_ylim(y.min(), y.max())\n",
        "ax2.set_xlim(x.min(), x.max())\n",
        "ax2.set_ylim(y.min(), y.max())\n",
        "\n",
        "ax1.set_xlabel('Vader Score')\n",
        "ax1.set_ylabel('Rating')\n",
        "\n",
        "ax2.set_xlabel('Vader Score')\n",
        "ax2.set_ylabel('Rating')"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0, 0.5, 'Rating')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 57
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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MzGpxADEzs1ocQMxsKJSm36x97gMplOWeJ9ROLB62+jSltO8o7xtJBwQ3Up9S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\n4gBiZma1/P+PHHfCtFhERAAAAABJRU5ErkJggg==\n",
            "text/plain": [
              "<Figure size 432x576 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "2zjOEjU0OP0V",
        "colab_type": "text"
      },
      "source": [
        "There is no obvious trend between length and ground truth sentiment except for the 600 long negative review (outlier). \n",
        "\n",
        "There is a trend between vadar and length where longer review is more likely to get positve vadar sentiment. It is quite obvious there are more long review with a vadar sentiment of 1 than any other vadar scores. \n",
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "fHf5fZis4efZ",
        "colab_type": "text"
      },
      "source": [
        "Show two scatterplots of the number of reviews per hotel versus each of average ground truth score and average Vader sentiment score. In this case, each hotel is a single point on the scatterplot. Are there any trends?"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "35Q0Rc11Ctwq",
        "colab_type": "code",
        "outputId": "987a7419-68c7-49f3-e100-e9aa3df3715e",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 296
        }
      },
      "source": [
        "review_num = reviews_df[\"hotel_name\"].value_counts()\n",
        "average_per_hotel = reviews_df.groupby('hotel_name').mean()\n",
        "average_score_by_hotel = [average_per_hotel.score[name] for name in review_num.index]\n",
        "plt.plot(review_num, average_score_by_hotel,\"o\")\n",
        "plt.ylabel('average review score by hotel')\n",
        "plt.xlabel('number of reviews by hotel')"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 0, 'number of reviews by hotel')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 58
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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mNiK5FlNJ5i9Z+3Jy6LV+Qw/zl6xtUkRmZpvHCaIkj69bX1O7mdlw5wRRkglj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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "LPLBBGofC_V8",
        "colab_type": "code",
        "outputId": "f07b7db1-93ad-4ad9-9613-67c303be9942",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 296
        }
      },
      "source": [
        "average_vadar_by_hotel = [average_per_hotel.vader_sentiment[name] for name in review_num.index]\n",
        "plt.plot(review_num, average_vadar_by_hotel,\"o\")\n",
        "plt.ylabel('average review vardar sentiment by hotel')\n",
        "plt.xlabel('number of reviews by hotel')"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 0, 'number of reviews by hotel')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 59
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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R8XrgKeAfSo6r4kw2Hzt6qMT1rog4sKoPdbM/R4BvA7+OiH2AN5Ect6bGFRHL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\n6Sh0fL2TigAAAABJRU5ErkJggg==\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "reFzPZRYP-uE",
        "colab_type": "text"
      },
      "source": [
        "There is a trend where between number of review per hotel vs its average ground truth review. The hotel is more likely to be highly rated if they have more raing. \n",
        "\n",
        "There is no obvisou trend between number of reviews by hotel vs average vadar scores. \n",
        "\n",
        "This trend might not be conclusive as the number of review per hotel is limited to 100. "
      ]
    }
  ]
}