Cosine_Similarity_Case_Study.ipynb

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        "<a href=\"https://colab.research.google.com/github/neetinds/Springboard/blob/master/Cosine_Similarity_Case_Study.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",
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        "id": "eNSkSfKvSXEE"
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      "source": [
        "## Cosine Similarity Calculations\n",
        "Cosine similarity is a measure of similarity between two non-zero vectors of an inner product space that measures the cosine of the angle between them. Similarity measures have a multiude of uses in machine learning projects; they come in handy when matching strings, measuring distance, and extracting features. This similarity measurement is particularly concerned with orientation, rather than magnitude. \n",
        "In this case study, you'll use the cosine similarity to compare both a numeric data within a plane and a text dataset for string matching."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
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        "id": "3D50hoO0B5ar",
        "outputId": "7d7e860b-cf25-483b-e7ad-70d9fbd1d880"
      },
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/gdrive')"
      ],
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Mounted at /content/gdrive\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "USGZdZYoVu7A"
      },
      "source": [
        "Load the Python modules, including cosine_similarity, from sklearn.metrics.pairwise"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "_T-FTjWuSXEF"
      },
      "source": [
        "import numpy as np\n",
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt\n",
        "import matplotlib.cm as cm\n",
        "%matplotlib inline\n",
        "plt.style.use('ggplot')\n",
        "from scipy import spatial\n",
        "from sklearn.metrics.pairwise import cosine_similarity"
      ],
      "execution_count": 2,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "woBv3-cmV1R6"
      },
      "source": [
        "**<font color='teal'> Load the distance dataset into a dataframe. </font>**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "irpsaCuGSXEK"
      },
      "source": [
        "# Reading csv file and storing in pandas dataframe\n",
        "df = pd.read_csv('/content/gdrive/MyDrive/Springboard-master/CosineSimilarityCaseStudy/distance_dataset (1).csv')"
      ],
      "execution_count": 3,
      "outputs": []
    },
    {
      "cell_type": "code",
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          "height": 204
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        "id": "LQRcrcy1CxXQ",
        "outputId": "26b0262c-210c-4741-cc57-ecf6bb811a82"
      },
      "source": [
        "# Viewing first few samples of the data\n",
        "df.head()"
      ],
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "execute_result",
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              "   Unnamed: 0         X         Y         Z  ClusterID\n",
              "0           0  5.135779  4.167542  5.787635          4\n",
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        "df.shape\n",
        "df.info()"
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            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 2000 entries, 0 to 1999\n",
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            " #   Column      Non-Null Count  Dtype  \n",
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            " 3   Z           2000 non-null   float64\n",
            " 4   ClusterID   2000 non-null   int64  \n",
            "dtypes: float64(3), int64(2)\n",
            "memory usage: 78.2 KB\n"
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    {
      "cell_type": "markdown",
      "metadata": {
        "id": "WWd4xbk1SXEO"
      },
      "source": [
        "### Cosine Similarity with clusters and numeric matrices\n",
        "\n",
        "All points in our dataset can be thought of as feature vectors. We illustrate it here as we display the __Cosine Similarity__ between each feature vector in the YZ plane and the [5, 5] vector we chose as reference. The sklearn.metrics.pairwise module provides an efficient way to compute the __cosine_similarity__ for large arrays from which we can compute the similarity."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "NeRvhNjLWaau"
      },
      "source": [
        " **<font color='teal'> First, create a 2D and a 3D matrix from the dataframe. The 2D matrix should contain the 'Y' and 'Z' columns and the 3D matrix should contain the 'X','Y', and 'Z' columns.</font>**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "aWkrVP8dWqZ-"
      },
      "source": [
        "# get only Y & Z column and store in different dataframe\n",
        "two_dim_matrix = df.values[:,1:3]"
      ],
      "execution_count": 8,
      "outputs": []
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    {
      "cell_type": "code",
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      "source": [
        "two_dim_matrix.shape"
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          "output_type": "execute_result",
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              "(2000, 2)"
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            "tags": []
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      },
      "source": [
        "\n",
        "two_dim_matrix"
      ],
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[5.13577939, 4.16754224],\n",
              "       [4.2807207 , 5.77090875],\n",
              "       [8.3290979 , 7.54043595],\n",
              "       ...,\n",
              "       [2.00018573, 2.35191142],\n",
              "       [4.73591658, 5.64267723],\n",
              "       [4.955436  , 5.27055029]])"
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          "execution_count": 10
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    {
      "cell_type": "code",
      "metadata": {
        "id": "SzP3BKLlEBpS"
      },
      "source": [
        "# get X, Y & Z column and store in different dataframe\n",
        "three_dim_matrix = df.values[:,1:4]"
      ],
      "execution_count": 11,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
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        "id": "am3pHRm4EBiA",
        "outputId": "eab3576a-a4d2-4caa-e897-8a446d60232e"
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      "source": [
        "three_dim_matrix.shape"
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          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(2000, 3)"
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            "tags": []
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          "execution_count": 12
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    {
      "cell_type": "code",
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        },
        "id": "fatVxyUmEBUt",
        "outputId": "63fd213e-8286-45bc-d4b2-bade66de491b"
      },
      "source": [
        "three_dim_matrix"
      ],
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[5.13577939, 4.16754224, 5.7876354 ],\n",
              "       [4.2807207 , 5.77090875, 6.0910442 ],\n",
              "       [8.3290979 , 7.54043595, 3.2472394 ],\n",
              "       ...,\n",
              "       [2.00018573, 2.35191142, 6.77931097],\n",
              "       [4.73591658, 5.64267723, 4.85577967],\n",
              "       [4.955436  , 5.27055029, 7.84476766]])"
            ]
          },
          "metadata": {
            "tags": []
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          "execution_count": 13
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      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "HlRZpDfzXJR9"
      },
      "source": [
        "Calculate the cosine similarity for those matrices with reference planes of 5,5 and 5,5,5. Then subtract those measures from 1 in new features."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "QmKPcdIjSXEP"
      },
      "source": [
        "simCosine3D = 1. - cosine_similarity(three_dim_matrix, [[5,5,5]], 'cosine')\n",
        "simCosine = 1. - cosine_similarity(two_dim_matrix, [[5,5]], 'cosine')"
      ],
      "execution_count": 15,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "qbNYUROxEXJl",
        "outputId": "83f856e8-b87a-4853-ee86-2a3af5a51c26"
      },
      "source": [
        "cosine_similarity(three_dim_matrix, [[5,5,5]], 'cosine')"
      ],
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[0.99135955],\n",
              "       [0.98942434],\n",
              "       [0.94373062],\n",
              "       ...,\n",
              "       [0.86273433],\n",
              "       [0.99687836],\n",
              "       [0.9776888 ]])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 16
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "SdBdruoQEZZK",
        "outputId": "0ec3da7d-6825-4f22-8df3-fbab634cae30"
      },
      "source": [
        "simCosine3D"
      ],
      "execution_count": 17,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[0.00864045],\n",
              "       [0.01057566],\n",
              "       [0.05626938],\n",
              "       ...,\n",
              "       [0.13726567],\n",
              "       [0.00312164],\n",
              "       [0.0223112 ]])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 17
        }
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    {
      "cell_type": "code",
      "metadata": {
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          "base_uri": "https://localhost:8080/"
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        "id": "ZFTQd8FUEeDi",
        "outputId": "3d7f907b-4df1-4ac9-fe2f-01b036d5109f"
      },
      "source": [
        "simCosine"
      ],
      "execution_count": 18,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[0.00537213],\n",
              "       [0.01081163],\n",
              "       [0.00123259],\n",
              "       ...,\n",
              "       [0.00324982],\n",
              "       [0.0037949 ],\n",
              "       [0.00047445]])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 18
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "EieVXBAcX0OU"
      },
      "source": [
        "Using the 2D matrix and the reference plane of (5,5) we can use a scatter plot to view the way the similarity is calculated using the Cosine angle."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 518
        },
        "id": "Oga4-0A6SXEY",
        "outputId": "a9700f02-3e2e-412e-ef84-df32febf19e5"
      },
      "source": [
        "figCosine = plt.figure(figsize=[10,8])\n",
        "\n",
        "plt.scatter(df.Y, df.Z, c=simCosine[:,0], s=20)\n",
        "plt.plot([0,5],[0,5], '--', color='dimgray')\n",
        "plt.plot([0,3],[0,7.2], '--', color='dimgray')\n",
        "plt.text(0.7,2.6,r'$\\theta$ = 22.4 deg.', rotation=47, size=14)\n",
        "plt.ylim([0,10])\n",
        "plt.xlim([0,10])\n",
        "plt.xlabel('Y', size=14)\n",
        "plt.ylabel('Z', size=14)\n",
        "plt.title('Cosine Similarity')\n",
        "cb = plt.colorbar()\n",
        "cb.set_label('Similarity with (5,5)', size=14)\n",
        "\n",
        "#figCosine.savefig('similarity-cosine.png')"
      ],
      "execution_count": 19,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x576 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "h5EERbkYXioh"
      },
      "source": [
        "Now, plot the 3D matrix with the similarity and the reference plane, (5,5,5)."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 585
        },
        "id": "-f3ZhgoQSXEV",
        "outputId": "11e2bdb6-42e0-4bbc-cf6d-582fad4ac5f1"
      },
      "source": [
        "from mpl_toolkits.mplot3d import Axes3D\n",
        "figCosine3D = plt.figure(figsize=(10, 8))\n",
        "ax = figCosine3D.add_subplot(111, projection='3d')\n",
        "\n",
        "p = ax.scatter(three_dim_matrix[:,0], three_dim_matrix[:,1], three_dim_matrix[:,2], c=simCosine3D[:,0])\n",
        "ax.set_xlabel('X')\n",
        "ax.set_ylabel('Y')\n",
        "ax.set_zlabel('Z')\n",
        "cb = figCosine3D.colorbar(p)\n",
        "cb.set_label('Similarity with (5,5,5)', size=14)\n",
        "                                   \n",
        "figCosine3D.tight_layout()\n",
        "#figCosine3D.savefig('cosine-3D.png', dpi=300, transparent=True)"
      ],
      "execution_count": 21,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x576 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "_ysZ1wFMSXEt"
      },
      "source": [
        "----"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "jGJ2vr60SXEu"
      },
      "source": [
        "### Cosine Similarity with text data\n",
        "This is a quick example of how you can use Cosine Similarity to compare different text values or names for record matching or other natural language proecessing needs. \n",
        "First, we use count vectorizer to create a vector for each unique word in our Document 0 and Document 1. "
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 111
        },
        "id": "7oSm7linSXEv",
        "outputId": "7a93bac5-c37d-4cb9-902c-93eb2acbf981"
      },
      "source": [
        "from sklearn.feature_extraction.text import CountVectorizer\n",
        "count_vect = CountVectorizer()\n",
        "Document1 = \"Starbucks Coffee\"\n",
        "Document2 = \"Essence of Coffee\"\n",
        "\n",
        "corpus = [Document1,Document2]\n",
        "\n",
        "X_train_counts = count_vect.fit_transform(corpus)\n",
        "\n",
        "pd.DataFrame(X_train_counts.toarray(),columns=count_vect.get_feature_names(),index=['Document 0','Document 1'])"
      ],
      "execution_count": 22,
      "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>coffee</th>\n",
              "      <th>essence</th>\n",
              "      <th>of</th>\n",
              "      <th>starbucks</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>Document 0</th>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Document 1</th>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "            coffee  essence  of  starbucks\n",
              "Document 0       1        0   0          1\n",
              "Document 1       1        1   1          0"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 22
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "W99LBHobSXE1"
      },
      "source": [
        "Now, we use a common frequency tool called TF-IDF to convert the vectors to unique measures."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 111
        },
        "id": "mA52-mj9SXE1",
        "outputId": "dafd8256-eaf8-4276-83f2-955913eab5ab"
      },
      "source": [
        "from sklearn.feature_extraction.text import TfidfVectorizer\n",
        "vectorizer = TfidfVectorizer()\n",
        "trsfm=vectorizer.fit_transform(corpus)\n",
        "pd.DataFrame(trsfm.toarray(),columns=vectorizer.get_feature_names(),index=['Document 0','Document 1'])"
      ],
      "execution_count": 23,
      "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>coffee</th>\n",
              "      <th>essence</th>\n",
              "      <th>of</th>\n",
              "      <th>starbucks</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>Document 0</th>\n",
              "      <td>0.579739</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.814802</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Document 1</th>\n",
              "      <td>0.449436</td>\n",
              "      <td>0.631667</td>\n",
              "      <td>0.631667</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "              coffee   essence        of  starbucks\n",
              "Document 0  0.579739  0.000000  0.000000   0.814802\n",
              "Document 1  0.449436  0.631667  0.631667   0.000000"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 23
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "8T8ZOVnLSXE4"
      },
      "source": [
        "Here, we finally apply the __Cosine Similarity__ measure to calculate how similar Document 0 is compared to any other document in the corpus. Therefore, the first value of 1 is showing that the Document 0 is 100% similar to Document 0 and 0.26055576 is the similarity measure between Document 0 and Document 1."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ZLbYTQfnSXE4",
        "outputId": "a4e8d0b6-14fa-44e7-efc6-95dc8ae075d3"
      },
      "source": [
        "cosine_similarity(trsfm[0:1], trsfm)"
      ],
      "execution_count": 24,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[1.        , 0.26055567]])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 24
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "uSDf5EgJatlw"
      },
      "source": [
        "Replace the current values for `Document 0` and `Document 1` with your own sentence or paragraph and apply the same steps as we did in the above example."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "WC3dJc-gFG2f"
      },
      "source": [
        "\n",
        "LAMP = \"\"\" The LAMP components are largely interchangeable and not limited to the original selection. \n",
        "            As a solution stack, LAMP is suitable for building dynamic web sites and web applications\"\"\"\n",
        "\n",
        "\n",
        "MEAN = \"\"\"Though often compared directly to other popular web development stacks such as the LAMP stack, \n",
        "            the components of the MEAN stack are higher-level including a web application presentation layer \n",
        "            and not including an operating system layer.\"\"\""
      ],
      "execution_count": 27,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "S9FESS0IbF9I"
      },
      "source": [
        " **<font color='teal'> Combine the documents into a corpus.</font>**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "7aVkjj-xczS-"
      },
      "source": [
        "corpus = [LAMP,MEAN]"
      ],
      "execution_count": 28,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Bng2fLV_bR-V"
      },
      "source": [
        " **<font color='teal'> Apply the count vectorizer to the corpus to transform it into vectors.</font>**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "FtW2_TcJczuh"
      },
      "source": [
        "X_train_counts = count_vect.fit_transform(corpus)"
      ],
      "execution_count": 29,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "55i9xWTYbc-r"
      },
      "source": [
        " **<font color='teal'> Convert the vector counts to a dataframe with Pandas.</font>**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 131
        },
        "id": "OaXsheskc0Ql",
        "outputId": "4b1636bf-c469-433d-83cb-57b116e11f3d"
      },
      "source": [
        "pd.DataFrame(X_train_counts.toarray(),columns=count_vect.get_feature_names(),index=['LAMP','MEAN'])"
      ],
      "execution_count": 30,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "      <th></th>\n",
              "      <th>an</th>\n",
              "      <th>and</th>\n",
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              "      <th>applications</th>\n",
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              "      <th>web</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>LAMP</th>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
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              "      <td>1</td>\n",
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              "      <td>1</td>\n",
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              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
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              "      <td>0</td>\n",
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              "      <td>1</td>\n",
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              "      <td>0</td>\n",
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              "      <td>0</td>\n",
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              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>MEAN</th>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
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              "      <td>2</td>\n",
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              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
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              "      <td>2</td>\n",
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              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "      an  and  application  applications  are  ...  system  the  though  to  web\n",
              "LAMP   0    2            0             1    1  ...       0    2       0   1    2\n",
              "MEAN   1    1            1             0    1  ...       1    3       1   1    2\n",
              "\n",
              "[2 rows x 43 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 30
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "dONg4uupcJAK"
      },
      "source": [
        " **<font color='teal'> Apply TF-IDF to convert the vectors to unique frequency measures.</font>**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 131
        },
        "id": "o2z2p_kMc1mF",
        "outputId": "9b6ceee1-51de-458c-b61b-e5dda4444514"
      },
      "source": [
        "trsfm=vectorizer.fit_transform(corpus)\n",
        "pd.DataFrame(trsfm.toarray(),columns=vectorizer.get_feature_names(),index=['LAMP','MEAN'])"
      ],
      "execution_count": 31,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
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              "      <th>web</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>LAMP</th>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.289644</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.203542</td>\n",
              "      <td>0.144822</td>\n",
              "      <td>0.144822</td>\n",
              "      <td>0.203542</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.144822</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.203542</td>\n",
              "      <td>0.203542</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.203542</td>\n",
              "      <td>0.203542</td>\n",
              "      <td>0.289644</td>\n",
              "      <td>0.203542</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.203542</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.144822</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.203542</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.203542</td>\n",
              "      <td>0.203542</td>\n",
              "      <td>0.203542</td>\n",
              "      <td>0.144822</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.203542</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.289644</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.144822</td>\n",
              "      <td>0.289644</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>MEAN</th>\n",
              "      <td>0.161902</td>\n",
              "      <td>0.115195</td>\n",
              "      <td>0.161902</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.115195</td>\n",
              "      <td>0.115195</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.161902</td>\n",
              "      <td>0.115195</td>\n",
              "      <td>0.161902</td>\n",
              "      <td>0.161902</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.161902</td>\n",
              "      <td>0.323805</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.115195</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.323805</td>\n",
              "      <td>0.161902</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.161902</td>\n",
              "      <td>0.115195</td>\n",
              "      <td>0.161902</td>\n",
              "      <td>0.161902</td>\n",
              "      <td>0.161902</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.161902</td>\n",
              "      <td>0.161902</td>\n",
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              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.230390</td>\n",
              "      <td>0.161902</td>\n",
              "      <td>0.161902</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.161902</td>\n",
              "      <td>0.345585</td>\n",
              "      <td>0.161902</td>\n",
              "      <td>0.115195</td>\n",
              "      <td>0.230390</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "            an       and  application  ...    though        to       web\n",
              "LAMP  0.000000  0.289644     0.000000  ...  0.000000  0.144822  0.289644\n",
              "MEAN  0.161902  0.115195     0.161902  ...  0.161902  0.115195  0.230390\n",
              "\n",
              "[2 rows x 43 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 31
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "wd1JHVSxcl1D"
      },
      "source": [
        " **<font color='teal'> Use the cosine similarity function to get measures of similarity for the sentences or paragraphs in your original document.</font>**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "sJdk5sX5bcPO",
        "outputId": "69497046-672e-402b-d930-afd792947951"
      },
      "source": [
        "cosine_similarity(trsfm[0:1], trsfm)"
      ],
      "execution_count": 32,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[1.        , 0.35033841]])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 32
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Zf2aqV6AFtLW"
      },
      "source": [
        "LAMP and MEAN documents are 35% similar"
      ],
      "execution_count": null,
      "outputs": []
    }
  ]
}