Article_Recommendation_System.ipynb

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  "metadata": {
    "colab": {
      "name": "Article Recommendation System.ipynb",
      "provenance": [],
      "collapsed_sections": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
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              "ok": true,
              "headers": [
                [
                  "content-type",
                  "application/javascript"
                ]
              ],
              "status": 200,
              "status_text": ""
            }
          },
          "base_uri": "https://localhost:8080/",
          "height": 73
        },
        "id": "H2QT5QagViva",
        "outputId": "2adaf725-7153-48fe-ce19-e591556f36c1"
      },
      "source": [
        "from google.colab import files\n",
        "uploaded = files.upload()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "\n",
              "     <input type=\"file\" id=\"files-0b94b9a7-a278-4d89-ac29-6b483bfa7c03\" name=\"files[]\" multiple disabled\n",
              "        style=\"border:none\" />\n",
              "     <output id=\"result-0b94b9a7-a278-4d89-ac29-6b483bfa7c03\">\n",
              "      Upload widget is only available when the cell has been executed in the\n",
              "      current browser session. Please rerun this cell to enable.\n",
              "      </output>\n",
              "      <script src=\"/nbextensions/google.colab/files.js\"></script> "
            ],
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Saving articles.csv to articles.csv\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "a4I5TmqnVqpm",
        "outputId": "f8e5ed13-c751-4afd-ef50-b4b37a44adf9"
      },
      "source": [
        "import pandas as pd\n",
        "import numpy as np\n",
        "from sklearn.feature_extraction import text\n",
        "from sklearn.metrics.pairwise import cosine_similarity\n",
        "data = pd.read_csv(\"https://raw.githubusercontent.com/amankharwal/Website-data/master/articles.csv\", encoding='latin1')\n",
        "data"
      ],
      "execution_count": null,
      "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>Article</th>\n",
              "      <th>Title</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Data analysis is the process of inspecting and...</td>\n",
              "      <td>Best Books to Learn Data Analysis</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>The performance of a machine learning algorith...</td>\n",
              "      <td>Assumptions of Machine Learning Algorithms</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>You must have seen the news divided into categ...</td>\n",
              "      <td>News Classification with Machine Learning</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>When there are only two classes in a classific...</td>\n",
              "      <td>Multiclass Classification Algorithms in Machin...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>The Multinomial Naive Bayes is one of the vari...</td>\n",
              "      <td>Multinomial Naive Bayes in Machine Learning</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>You must have seen the news divided into categ...</td>\n",
              "      <td>News Classification with Machine Learning</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>Natural language processing or NLP is a subfie...</td>\n",
              "      <td>Best Books to Learn NLP</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>By using a third-party application or API to m...</td>\n",
              "      <td>Send Instagram Messages using Python</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>Twitter is one of the most popular social medi...</td>\n",
              "      <td>Pfizer Vaccine Sentiment Analysis using Python</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>The squid game is currently one of the most tr...</td>\n",
              "      <td>Squid Game Sentiment Analysis using Python</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>Computer Vision is one of the fields of Artifi...</td>\n",
              "      <td>Best Books to Learn Computer Vision</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>Python is one of the most popular programming ...</td>\n",
              "      <td>Best Resources to Learn Python</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>API stands for Application Programming Interfa...</td>\n",
              "      <td>Best Python Frameworks to Build APIs</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>A voice recorder is found in every smartphone ...</td>\n",
              "      <td>Voice Recorder using Python</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14</th>\n",
              "      <td>Language detection is a natural language proce...</td>\n",
              "      <td>Language Detection with Machine Learning</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15</th>\n",
              "      <td>A Multilayer Perceptron or MLP is one of the s...</td>\n",
              "      <td>Multilayer Perceptron in Machine Learning</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16</th>\n",
              "      <td>A neural network is a subset of machine learni...</td>\n",
              "      <td>Types of Neural Networks</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>17</th>\n",
              "      <td>Clustering is the task of identifying similar ...</td>\n",
              "      <td>Clustering Algorithms in Machine Learning</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>18</th>\n",
              "      <td>Dictionaries are one of the most useful data s...</td>\n",
              "      <td>For Loop Over Keys and Values in a Python Dict...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>19</th>\n",
              "      <td>Health Insurance is a type of insurance that c...</td>\n",
              "      <td>Health Insurance Premium Prediction with Machi...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>20</th>\n",
              "      <td>The mean shift algorithm is a nonparametric cl...</td>\n",
              "      <td>Mean Shift Clustering in Machine Learning</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>21</th>\n",
              "      <td>The BIRCH is a Clustering algorithm in machine...</td>\n",
              "      <td>BIRCH Clustering in Machine Learning</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>22</th>\n",
              "      <td>Agglomerative clustering is based on hierarchi...</td>\n",
              "      <td>Agglomerative Clustering in Machine Learning</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23</th>\n",
              "      <td>DBSCAN stands for Density-Based Spatial Cluste...</td>\n",
              "      <td>DBSCAN Clustering in Machine Learning</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>24</th>\n",
              "      <td>The K-Means Clustering is a clustering algorit...</td>\n",
              "      <td>K-Means Clustering in Machine Learning</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25</th>\n",
              "      <td>A scatter plot is one of the most useful ways ...</td>\n",
              "      <td>Animated Scatter Plot using Python</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>26</th>\n",
              "      <td>Recently, we have seen an increase of more tha...</td>\n",
              "      <td>Tata Motors Stock Price Prediction with Machin...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>27</th>\n",
              "      <td>Apple has just announced the date of its Septe...</td>\n",
              "      <td>Apple Stock Price Prediction with Machine Lear...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>28</th>\n",
              "      <td>Deep learning is a subset of machine learning ...</td>\n",
              "      <td>Best Books to Learn Deep Learning</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>29</th>\n",
              "      <td>Many machine learning algorithms can be used t...</td>\n",
              "      <td>Applications of Deep Learning</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>30</th>\n",
              "      <td>Almost every app or website you visit today sh...</td>\n",
              "      <td>Introduction to Recommendation Systems</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>31</th>\n",
              "      <td>There are so many algorithms in machine learni...</td>\n",
              "      <td>Use Cases of Different Machine Learning Algori...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>32</th>\n",
              "      <td>In machine learning, the Naive Bayes algorithm...</td>\n",
              "      <td>Naive Bayes Algorithm in Machine Learning</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>33</th>\n",
              "      <td>Swapping elements of a Python list is very sim...</td>\n",
              "      <td>Swap Items of a Python List</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                                              Article                                              Title\n",
              "0   Data analysis is the process of inspecting and...                  Best Books to Learn Data Analysis\n",
              "1   The performance of a machine learning algorith...         Assumptions of Machine Learning Algorithms\n",
              "2   You must have seen the news divided into categ...          News Classification with Machine Learning\n",
              "3   When there are only two classes in a classific...  Multiclass Classification Algorithms in Machin...\n",
              "4   The Multinomial Naive Bayes is one of the vari...        Multinomial Naive Bayes in Machine Learning\n",
              "5   You must have seen the news divided into categ...          News Classification with Machine Learning\n",
              "6   Natural language processing or NLP is a subfie...                            Best Books to Learn NLP\n",
              "7   By using a third-party application or API to m...               Send Instagram Messages using Python\n",
              "8   Twitter is one of the most popular social medi...     Pfizer Vaccine Sentiment Analysis using Python\n",
              "9   The squid game is currently one of the most tr...         Squid Game Sentiment Analysis using Python\n",
              "10  Computer Vision is one of the fields of Artifi...                Best Books to Learn Computer Vision\n",
              "11  Python is one of the most popular programming ...                     Best Resources to Learn Python\n",
              "12  API stands for Application Programming Interfa...               Best Python Frameworks to Build APIs\n",
              "13  A voice recorder is found in every smartphone ...                        Voice Recorder using Python\n",
              "14  Language detection is a natural language proce...           Language Detection with Machine Learning\n",
              "15  A Multilayer Perceptron or MLP is one of the s...          Multilayer Perceptron in Machine Learning\n",
              "16  A neural network is a subset of machine learni...                           Types of Neural Networks\n",
              "17  Clustering is the task of identifying similar ...          Clustering Algorithms in Machine Learning\n",
              "18  Dictionaries are one of the most useful data s...  For Loop Over Keys and Values in a Python Dict...\n",
              "19  Health Insurance is a type of insurance that c...  Health Insurance Premium Prediction with Machi...\n",
              "20  The mean shift algorithm is a nonparametric cl...          Mean Shift Clustering in Machine Learning\n",
              "21  The BIRCH is a Clustering algorithm in machine...               BIRCH Clustering in Machine Learning\n",
              "22  Agglomerative clustering is based on hierarchi...       Agglomerative Clustering in Machine Learning\n",
              "23  DBSCAN stands for Density-Based Spatial Cluste...              DBSCAN Clustering in Machine Learning\n",
              "24  The K-Means Clustering is a clustering algorit...             K-Means Clustering in Machine Learning\n",
              "25  A scatter plot is one of the most useful ways ...                 Animated Scatter Plot using Python\n",
              "26  Recently, we have seen an increase of more tha...  Tata Motors Stock Price Prediction with Machin...\n",
              "27  Apple has just announced the date of its Septe...  Apple Stock Price Prediction with Machine Lear...\n",
              "28  Deep learning is a subset of machine learning ...                  Best Books to Learn Deep Learning\n",
              "29  Many machine learning algorithms can be used t...                      Applications of Deep Learning\n",
              "30  Almost every app or website you visit today sh...             Introduction to Recommendation Systems\n",
              "31  There are so many algorithms in machine learni...  Use Cases of Different Machine Learning Algori...\n",
              "32  In machine learning, the Naive Bayes algorithm...          Naive Bayes Algorithm in Machine Learning\n",
              "33  Swapping elements of a Python list is very sim...                        Swap Items of a Python List"
            ]
          },
          "metadata": {},
          "execution_count": 51
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "y-8cdVgOV6q1",
        "outputId": "3e0523be-e0e5-48b4-ae51-db9153481429"
      },
      "source": [
        "data.isnull().sum()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Article    0\n",
              "Title      0\n",
              "dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 41
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "IgK-08oIXDXv"
      },
      "source": [
        "articles = data[\"Article\"].tolist()\n",
        "uni_tfidf = text.TfidfVectorizer(input=articles, stop_words=\"english\")\n",
        "uni_matrix = uni_tfidf.fit_transform(articles)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "z-1dh7UwXeFM"
      },
      "source": [
        "uni_sim = cosine_similarity(uni_matrix)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "_FR6vEW-Xgos",
        "outputId": "466cfdc8-f975-4d88-bff3-503a225df763"
      },
      "source": [
        "def recommend_articles(x):\n",
        "    return \", \".join(data[\"Title\"].loc[x.argsort()[-5:-1]])\n",
        "    \n",
        "data[\"Recommended Articles\"] = [recommend_articles(x) for x in uni_sim]\n",
        "data.head()"
      ],
      "execution_count": null,
      "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>Article</th>\n",
              "      <th>Title</th>\n",
              "      <th>Recommended Articles</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Data analysis is the process of inspecting and...</td>\n",
              "      <td>Best Books to Learn Data Analysis</td>\n",
              "      <td>Introduction to Recommendation Systems, Best B...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>The performance of a machine learning algorith...</td>\n",
              "      <td>Assumptions of Machine Learning Algorithms</td>\n",
              "      <td>Applications of Deep Learning, Best Books to L...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>You must have seen the news divided into categ...</td>\n",
              "      <td>News Classification with Machine Learning</td>\n",
              "      <td>Language Detection with Machine Learning, Appl...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>When there are only two classes in a classific...</td>\n",
              "      <td>Multiclass Classification Algorithms in Machin...</td>\n",
              "      <td>Assumptions of Machine Learning Algorithms, Be...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>The Multinomial Naive Bayes is one of the vari...</td>\n",
              "      <td>Multinomial Naive Bayes in Machine Learning</td>\n",
              "      <td>Assumptions of Machine Learning Algorithms, Me...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                                             Article  ...                               Recommended Articles\n",
              "0  Data analysis is the process of inspecting and...  ...  Introduction to Recommendation Systems, Best B...\n",
              "1  The performance of a machine learning algorith...  ...  Applications of Deep Learning, Best Books to L...\n",
              "2  You must have seen the news divided into categ...  ...  Language Detection with Machine Learning, Appl...\n",
              "3  When there are only two classes in a classific...  ...  Assumptions of Machine Learning Algorithms, Be...\n",
              "4  The Multinomial Naive Bayes is one of the vari...  ...  Assumptions of Machine Learning Algorithms, Me...\n",
              "\n",
              "[5 rows x 3 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 44
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "GQD9Mw7hY7P1",
        "outputId": "36caf074-83a1-43cc-eb85-431fc5794cfa"
      },
      "source": [
        "print(data[\"Recommended Articles\"][22])"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "BIRCH Clustering in Machine Learning, Clustering Algorithms in Machine Learning, DBSCAN Clustering in Machine Learning, K-Means Clustering in Machine Learning\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "RIkSvyJn_aP2"
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    }
  ]
}