1.data_extraction.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Jorge Bueno Perez & Noam Shmuel"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Text Mining and Social Media Mining, final project \n",
    "# Sentiment analysis performed on the transcripts and titles of youtube videos related to the game Cyberpunk 2077"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Importing packages:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "from pytube import YouTube\n",
    "import moviepy.editor as mp\n",
    "import re\n",
    "import speech_recognition as sr\n",
    "from os import path\n",
    "from pydub import AudioSegment\n",
    "from youtubesearchpython import SearchVideos\n",
    "import pandas as pd\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 1) Extracting urls, description, duration and views:"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### The `SearchVideos` function has a `limit of videos` to be found in each search, hence `17 different searchs` will be performed, such as `cyberpunk 2077 review`, `cyberpunk 2077 good`, `cyberpunk 2077 bad`..."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### As all the social media content like youtube is `dynamic`, the videos found could change over the time. This `search was performed on 16/12/2020` (6 days after the game was released)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "find = [\"cyberpunk 2077 review\",\n",
    "        \"cyberpunk 2077 good\",\n",
    "        \"cyberpunk 2077 bad\",\n",
    "        \"cyberpunk 2077 problem\",\n",
    "        \"cyberpunk 2077 best\",\n",
    "        \"cyberpunk 2077 recommended\",\n",
    "        \"cyberpunk game review\",\n",
    "        \"cyberpunk 2077 opinion\",\n",
    "        \"cyberpunk game opinion\",\n",
    "        \"cyberpunk 2077 analysis\",\n",
    "        \"cyberpunk game analysis\",\n",
    "        \"cyberpunk 2077 overview\",\n",
    "        \"cyberpunk game overview\",\n",
    "       \"cyberpunk 2077 ps4 review\",\n",
    "       \"cyberpunk 2077 xbox review\",\n",
    "       \"cyberpunk 2077 pc review\",\n",
    "       \"cyberpunk 2077 ps5 review\"]\n",
    "df= pd.DataFrame(columns=['url', 'description', 'duration', 'views'])\n",
    "for i in find:\n",
    "    search = SearchVideos(i, offset = 1, mode = \"list\", max_results = 20).result()\n",
    "    df= df.append(pd.DataFrame(search, columns=['id', 'ref', 'url', 'description', 'user', 'duration', 'views', 'img', 'ref1', 'ref2'])[['url', 'description', 'duration', 'views']])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### It is possible that the found videos are repeated, hence the `duplicated videos` are going to be `removed`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "df= df.drop_duplicates(subset=['url']) "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Some extracted `videos are live`, also these are going to be `removed`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "df= df[df.duration != \"LIVE\"] "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "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>url</th>\n",
       "      <th>description</th>\n",
       "      <th>duration</th>\n",
       "      <th>views</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>https://www.youtube.com/watch?v=0UiXx-_fL5U</td>\n",
       "      <td>Cyberpunk 2077 Review - The Best Unfinished Ga...</td>\n",
       "      <td>28:43</td>\n",
       "      <td>105676</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>https://www.youtube.com/watch?v=QcH9c_rJItE</td>\n",
       "      <td>Cyberpunk 2077 - Easy Allies Review</td>\n",
       "      <td>13:34</td>\n",
       "      <td>22384</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>https://www.youtube.com/watch?v=QfpoTjUz1BY</td>\n",
       "      <td>Cyberpunk 2077 for Xbox One and PlayStation 4 ...</td>\n",
       "      <td>3:49</td>\n",
       "      <td>922825</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>https://www.youtube.com/watch?v=FPzMhniHikQ</td>\n",
       "      <td>A Brutally Honest Review Of Cyberpunk 2077</td>\n",
       "      <td>10:36</td>\n",
       "      <td>18784</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>https://www.youtube.com/watch?v=ldhiHfg-_DA</td>\n",
       "      <td>Cyberpunk 2077 review</td>\n",
       "      <td>14:40</td>\n",
       "      <td>52561</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                           url  \\\n",
       "0  https://www.youtube.com/watch?v=0UiXx-_fL5U   \n",
       "1  https://www.youtube.com/watch?v=QcH9c_rJItE   \n",
       "2  https://www.youtube.com/watch?v=QfpoTjUz1BY   \n",
       "3  https://www.youtube.com/watch?v=FPzMhniHikQ   \n",
       "4  https://www.youtube.com/watch?v=ldhiHfg-_DA   \n",
       "\n",
       "                                         description duration   views  \n",
       "0  Cyberpunk 2077 Review - The Best Unfinished Ga...    28:43  105676  \n",
       "1                Cyberpunk 2077 - Easy Allies Review    13:34   22384  \n",
       "2  Cyberpunk 2077 for Xbox One and PlayStation 4 ...     3:49  922825  \n",
       "3         A Brutally Honest Review Of Cyberpunk 2077    10:36   18784  \n",
       "4                              Cyberpunk 2077 review    14:40   52561  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.to_csv(\"~/Desktop/Projects/Text mining/Audio analysis/urls.csv\", index=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 2) Downloading the videos from the urls:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "192"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "urls= pd.read_csv(\"~/Desktop/Projects/Text mining/Audio analysis/urls.csv\")\n",
    "len(urls)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### The videos are going to be downloaded with `mp4 format`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "urls_list = urls.url.to_list()\n",
    "folder= \"/Users/Lajobu/Desktop/Projects/Text mining/Audio analysis/Audios\"\n",
    "remove= []\n",
    "download= []\n",
    "for i in urls_list:\n",
    "    try:\n",
    "        yt= YouTube(i)\n",
    "        t= yt.streams.filter(only_audio=True).all()\n",
    "        t[0].download(folder, filename= str(i))\n",
    "        download.append(i)\n",
    "    except:\n",
    "        remove.append(i)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### There was `one error` when downloading the videos, hence this should be removed from the list of videos"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['https://www.youtube.com/watch?v=5YD1gJ4dUgo']"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "remove"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "urls= urls[~urls.url.isin(remove)]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 3) Extracting the audio of the video:"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### The audio of the video is going to be transformed to `wav format`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
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      "MoviePy - Writing audio in /Users/Lajobu/Desktop/Projects/Text mining/Audio analysis/Audios/httpswwwyoutubecomwatchv=08mTqdwiEZ8.wav\n"
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      "MoviePy - Done.\n",
      "MoviePy - Writing audio in /Users/Lajobu/Desktop/Projects/Text mining/Audio analysis/Audios/httpswwwyoutubecomwatchv=QNP0alPlhaU.wav\n"
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      "MoviePy - Done.\n",
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      "MoviePy - Done.\n",
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "MoviePy - Done.\n",
      "MoviePy - Writing audio in /Users/Lajobu/Desktop/Projects/Text mining/Audio analysis/Audios/httpswwwyoutubecomwatchv=FPzMhniHikQ.wav\n"
     ]
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    {
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      "MoviePy - Done.\n",
      "MoviePy - Writing audio in /Users/Lajobu/Desktop/Projects/Text mining/Audio analysis/Audios/httpswwwyoutubecomwatchv=PPLUC2hAVC0.wav\n"
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      "MoviePy - Done.\n",
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      "MoviePy - Done.\n",
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      "MoviePy - Done.\n",
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      "MoviePy - Done.\n",
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     "output_type": "stream",
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      "MoviePy - Done.\n",
      "MoviePy - Writing audio in /Users/Lajobu/Desktop/Projects/Text mining/Audio analysis/Audios/httpswwwyoutubecomwatchv=mVWJPYKCMco.wav\n"
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      "MoviePy - Done.\n",
      "MoviePy - Writing audio in /Users/Lajobu/Desktop/Projects/Text mining/Audio analysis/Audios/httpswwwyoutubecomwatchv=w9-n3_xZnfY.wav\n"
     ]
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      "MoviePy - Done.\n",
      "MoviePy - Writing audio in /Users/Lajobu/Desktop/Projects/Text mining/Audio analysis/Audios/httpswwwyoutubecomwatchv=qXV2JgY3sAo.wav\n"
     ]
    },
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      "MoviePy - Done.\n",
      "MoviePy - Writing audio in /Users/Lajobu/Desktop/Projects/Text mining/Audio analysis/Audios/httpswwwyoutubecomwatchv=3UDAyuwK8h0.wav\n"
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      "MoviePy - Done.\n",
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     ]
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      "MoviePy - Done.\n",
      "MoviePy - Writing audio in /Users/Lajobu/Desktop/Projects/Text mining/Audio analysis/Audios/httpswwwyoutubecomwatchv=LEWRJtYatwI.wav\n"
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    {
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      "MoviePy - Done.\n",
      "MoviePy - Writing audio in /Users/Lajobu/Desktop/Projects/Text mining/Audio analysis/Audios/httpswwwyoutubecomwatchv=HOMwjnIH1uI.wav\n"
     ]
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      "MoviePy - Done.\n",
      "MoviePy - Writing audio in /Users/Lajobu/Desktop/Projects/Text mining/Audio analysis/Audios/httpswwwyoutubecomwatchv=HinRhyfVI9Y.wav\n"
     ]
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      "MoviePy - Done.\n",
      "MoviePy - Writing audio in /Users/Lajobu/Desktop/Projects/Text mining/Audio analysis/Audios/httpswwwyoutubecomwatchv=wPcPDanmeCQ.wav\n"
     ]
    },
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    {
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     "text": [
      "MoviePy - Done.\n",
      "MoviePy - Writing audio in /Users/Lajobu/Desktop/Projects/Text mining/Audio analysis/Audios/httpswwwyoutubecomwatchv=MPmcBllnBqk.wav\n"
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    },
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    {
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     "text": [
      "MoviePy - Done.\n",
      "MoviePy - Writing audio in /Users/Lajobu/Desktop/Projects/Text mining/Audio analysis/Audios/httpswwwyoutubecomwatchv=Mwf-aziE1Ak.wav\n"
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    },
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      "MoviePy - Done.\n",
      "MoviePy - Writing audio in /Users/Lajobu/Desktop/Projects/Text mining/Audio analysis/Audios/httpswwwyoutubecomwatchv=JkYK0T_dOK4.wav\n"
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      "MoviePy - Done.\n",
      "MoviePy - Writing audio in /Users/Lajobu/Desktop/Projects/Text mining/Audio analysis/Audios/httpswwwyoutubecomwatchv=pEfHDqzjsT8.wav\n"
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    },
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     "text": [
      "MoviePy - Done.\n",
      "MoviePy - Writing audio in /Users/Lajobu/Desktop/Projects/Text mining/Audio analysis/Audios/httpswwwyoutubecomwatchv=c36vPPQ7cvc.wav\n"
     ]
    },
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    {
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     "text": [
      "MoviePy - Done.\n",
      "MoviePy - Writing audio in /Users/Lajobu/Desktop/Projects/Text mining/Audio analysis/Audios/httpswwwyoutubecomwatchv=xC4A_wTTQcY.wav\n"
     ]
    },
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    {
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     "text": [
      "MoviePy - Done.\n",
      "MoviePy - Writing audio in /Users/Lajobu/Desktop/Projects/Text mining/Audio analysis/Audios/httpswwwyoutubecomwatchv=TRrgcRX9JCA.wav\n"
     ]
    },
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    {
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     "text": [
      "MoviePy - Done.\n",
      "MoviePy - Writing audio in /Users/Lajobu/Desktop/Projects/Text mining/Audio analysis/Audios/httpswwwyoutubecomwatchv=n8RTgWC23ng.wav\n"
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    },
    {
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    {
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     "text": [
      "MoviePy - Done.\n",
      "MoviePy - Writing audio in /Users/Lajobu/Desktop/Projects/Text mining/Audio analysis/Audios/httpswwwyoutubecomwatchv=XvJhWGjSeSs.wav\n"
     ]
    },
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    },
    {
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     "output_type": "stream",
     "text": [
      "MoviePy - Done.\n",
      "MoviePy - Writing audio in /Users/Lajobu/Desktop/Projects/Text mining/Audio analysis/Audios/httpswwwyoutubecomwatchv=_jaL9Koza9k.wav\n"
     ]
    },
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    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "MoviePy - Done.\n",
      "MoviePy - Writing audio in /Users/Lajobu/Desktop/Projects/Text mining/Audio analysis/Audios/httpswwwyoutubecomwatchv=9cW9feT0UvI.wav\n"
     ]
    },
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    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "MoviePy - Done.\n",
      "MoviePy - Writing audio in /Users/Lajobu/Desktop/Projects/Text mining/Audio analysis/Audios/httpswwwyoutubecomwatchv=SaVm7jQ4TT4.wav\n"
     ]
    },
    {
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    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "MoviePy - Done.\n",
      "MoviePy - Writing audio in /Users/Lajobu/Desktop/Projects/Text mining/Audio analysis/Audios/httpswwwyoutubecomwatchv=toRxn7IXhrg.wav\n"
     ]
    },
    {
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    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "MoviePy - Done.\n",
      "MoviePy - Writing audio in /Users/Lajobu/Desktop/Projects/Text mining/Audio analysis/Audios/httpswwwyoutubecomwatchv=OKo_Ysti9po.wav\n"
     ]
    },
    {
     "name": "stderr",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "MoviePy - Done.\n",
      "MoviePy - Writing audio in /Users/Lajobu/Desktop/Projects/Text mining/Audio analysis/Audios/httpswwwyoutubecomwatchv=mRpdQF78-IA.wav\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "                                                                        "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "MoviePy - Done.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r"
     ]
    }
   ],
   "source": [
    "paths= []\n",
    "for file in [n for n in os.listdir(folder) if re.search('mp4',n)]:\n",
    "    full_path = os.path.join(folder, file)\n",
    "    output_path = os.path.join(folder, os.path.splitext(file)[0] + '.wav')\n",
    "    clip = mp.AudioFileClip(full_path) # disable if do not want any clipping\n",
    "    clip.write_audiofile(output_path)\n",
    "    paths.append(output_path)\n",
    "    os.remove(full_path) "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 4) Performing speech recognition  "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Once the audio of the videos are extracted we are ready to `perform speech recognition` with `google speech recognition`, this process would allow to extract the `transcript` of the videos"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### The `first 3 minutes` of each video will be extracted, and the `language` to be used is `en-US`, hence if any video is in `other language`, this will `not be used`, as per the `exception` of the below cell:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "r = sr.Recognizer()\n",
    "urls_list_ = urls.url.to_list()\n",
    "transcript= []\n",
    "rating= []\n",
    "for i in range(len(paths)):\n",
    "    with sr.AudioFile(paths[i]) as source:\n",
    "        try:\n",
    "            audio= r.record(source, duration= 180)               \n",
    "            n= r.recognize_google(audio, language='en-US', show_all=True)\n",
    "            transcript.append(''.join(str(val) for key, val in n.items()))\n",
    "            rating.append(YouTube(urls_list_[i]).rating)\n",
    "        except: \n",
    "            transcript.append(np.nan)\n",
    "            rating.append(np.nan)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "urls[\"transcript\"] = transcript\n",
    "urls[\"rating\"] = rating"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "urls.dropna(subset=['transcript'], inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### After the above mentioned process `136 transcripts of videos` were extracted"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "136"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(urls)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "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>url</th>\n",
       "      <th>description</th>\n",
       "      <th>duration</th>\n",
       "      <th>views</th>\n",
       "      <th>transcript</th>\n",
       "      <th>rating</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>https://www.youtube.com/watch?v=0UiXx-_fL5U</td>\n",
       "      <td>Cyberpunk 2077 Review - The Best Unfinished Ga...</td>\n",
       "      <td>28:43</td>\n",
       "      <td>105676</td>\n",
       "      <td>[{'transcript': 'so I get a lot of questions a...</td>\n",
       "      <td>4.864700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>https://www.youtube.com/watch?v=QcH9c_rJItE</td>\n",
       "      <td>Cyberpunk 2077 - Easy Allies Review</td>\n",
       "      <td>13:34</td>\n",
       "      <td>22384</td>\n",
       "      <td>[{'transcript': \"how does cyberpunk 2077 on th...</td>\n",
       "      <td>4.870146</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>https://www.youtube.com/watch?v=QfpoTjUz1BY</td>\n",
       "      <td>Cyberpunk 2077 for Xbox One and PlayStation 4 ...</td>\n",
       "      <td>3:49</td>\n",
       "      <td>922825</td>\n",
       "      <td>[{'transcript': \"this is a real blood of my cy...</td>\n",
       "      <td>4.836886</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>https://www.youtube.com/watch?v=FPzMhniHikQ</td>\n",
       "      <td>A Brutally Honest Review Of Cyberpunk 2077</td>\n",
       "      <td>10:36</td>\n",
       "      <td>18784</td>\n",
       "      <td>[{'transcript': \"what is going on your nation ...</td>\n",
       "      <td>4.854014</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>https://www.youtube.com/watch?v=z1rUP17fayA</td>\n",
       "      <td>Cyberpunk 2077 PC Review (With New Gameplay)</td>\n",
       "      <td>9:00</td>\n",
       "      <td>1306680</td>\n",
       "      <td>[{'transcript': 'what the what the hell are yo...</td>\n",
       "      <td>4.627821</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                           url  \\\n",
       "0  https://www.youtube.com/watch?v=0UiXx-_fL5U   \n",
       "1  https://www.youtube.com/watch?v=QcH9c_rJItE   \n",
       "2  https://www.youtube.com/watch?v=QfpoTjUz1BY   \n",
       "3  https://www.youtube.com/watch?v=FPzMhniHikQ   \n",
       "5  https://www.youtube.com/watch?v=z1rUP17fayA   \n",
       "\n",
       "                                         description duration    views  \\\n",
       "0  Cyberpunk 2077 Review - The Best Unfinished Ga...    28:43   105676   \n",
       "1                Cyberpunk 2077 - Easy Allies Review    13:34    22384   \n",
       "2  Cyberpunk 2077 for Xbox One and PlayStation 4 ...     3:49   922825   \n",
       "3         A Brutally Honest Review Of Cyberpunk 2077    10:36    18784   \n",
       "5       Cyberpunk 2077 PC Review (With New Gameplay)     9:00  1306680   \n",
       "\n",
       "                                          transcript    rating  \n",
       "0  [{'transcript': 'so I get a lot of questions a...  4.864700  \n",
       "1  [{'transcript': \"how does cyberpunk 2077 on th...  4.870146  \n",
       "2  [{'transcript': \"this is a real blood of my cy...  4.836886  \n",
       "3  [{'transcript': \"what is going on your nation ...  4.854014  \n",
       "5  [{'transcript': 'what the what the hell are yo...  4.627821  "
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "urls.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### As it can be seen above, the `transcript` column also always includes the text `transcript'` and `confidence'`, this could be `removed with regex`, however for the purpose of the sentiment analysis it is not neccesary, as the words can be omitted within the function `stopwords.add()`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "#urls.to_csv(\"~/Desktop/Projects/Text mining/Audio analysis/cyberpunk.csv\", index=False)"
   ]
  }
 ],
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