{"cells":[{"cell_type":"markdown","metadata":{"id":"dAZvnGs_0YIn"},"source":["### Connecting Google Colab with your Google Drive"]},{"cell_type":"code","execution_count":1,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":5184,"status":"ok","timestamp":1667037653178,"user":{"displayName":"Putturu kusumakar Reddy","userId":"07552141107752951949"},"user_tz":-330},"id":"E4qX0VFDtPew","outputId":"8f730a44-f3be-455b-f7a0-44b24081467a"},"outputs":[{"name":"stdout","output_type":"stream","text":["Mounted at /content/gdrive\n"]}],"source":["from google.colab import drive\n","drive.mount(\"/content/gdrive\")"]},{"cell_type":"markdown","metadata":{"id":"-WSdysXE1tS3"},"source":["## Text Classification"]},{"cell_type":"code","execution_count":2,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":5587,"status":"ok","timestamp":1667037658749,"user":{"displayName":"Putturu kusumakar Reddy","userId":"07552141107752951949"},"user_tz":-330},"id":"Kjd7gYp27zph","outputId":"9f8eeb7c-d8f3-43de-88a2-989139ecbeb6"},"outputs":[{"name":"stdout","output_type":"stream","text":["Mounted at /content/drive\n"]}],"source":["from google.colab import drive\n","drive.mount('/content/drive')"]},{"cell_type":"markdown","metadata":{"id":"abkwJEsI1tTB"},"source":["* Text Classification is an automated process of classification of text into pre-defined categories. We can classify emails into spam or non-spam, news articles into different categories like Politics, Technology, Sports, etc."]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":864},"executionInfo":{"elapsed":38,"status":"ok","timestamp":1667037658757,"user":{"displayName":"Putturu kusumakar Reddy","userId":"07552141107752951949"},"user_tz":-330},"id":"Td3AkYd_1tTC","outputId":"755abaa7-2c16-42f5-c057-8f63f4e96213"},"outputs":[],"source":["from IPython.display import Image\n","Image(\"/content/gdrive/MyDrive/img/img/text_img.png\")"]},{"cell_type":"markdown","metadata":{"id":"a1hnCGQ21tTG"},"source":["#### Loading required libraries"]},{"cell_type":"code","execution_count":4,"metadata":{"executionInfo":{"elapsed":12255,"status":"ok","timestamp":1667037670988,"user":{"displayName":"Putturu kusumakar Reddy","userId":"07552141107752951949"},"user_tz":-330},"id":"pntdQ1hL1tTG"},"outputs":[],"source":["import pandas as pd\n","import numpy as np\n","\n","import spacy\n","nlp = spacy.load('en_core_web_sm')\n","\n","from spacy.lang.en.stop_words import STOP_WORDS\n","\n","from sklearn.feature_extraction.text import TfidfVectorizer\n","from sklearn import naive_bayes, svm\n","from sklearn.metrics import accuracy_score, recall_score, precision_score\n","from sklearn.model_selection import train_test_split\n","\n","import warnings\n","warnings.filterwarnings(\"ignore\")"]},{"cell_type":"markdown","metadata":{"id":"F60H7SJr1tTH"},"source":["#### SMS Spam Collection Dataset\n","\n","__Context:__\n","\n","The SMS Spam Collection is a set of SMS tagged messages that have been collected for SMS Spam research. It contains one set of SMS messages in English of 5,572 messages, tagged as \"ham\" (legitimate) or \"spam\".\n","\n","__Content:__\n","\n","The file 'SMSSpamCollection.csv' contains one message per line. Each line is composed of two columns: column1 contains the label (ham or spam) and column2 contains the raw text."]},{"cell_type":"code","execution_count":5,"metadata":{"executionInfo":{"elapsed":57,"status":"ok","timestamp":1667037670999,"user":{"displayName":"Putturu kusumakar Reddy","userId":"07552141107752951949"},"user_tz":-330},"id":"atZFxFbr1tTK"},"outputs":[],"source":["pd.set_option('display.max_colwidth', 300)"]},{"cell_type":"markdown","metadata":{"id":"-4fyyWbi1tTI"},"source":["#### Reading the dataset"]},{"cell_type":"code","execution_count":6,"metadata":{"executionInfo":{"elapsed":56,"status":"ok","timestamp":1667037671000,"user":{"displayName":"Putturu kusumakar Reddy","userId":"07552141107752951949"},"user_tz":-330},"id":"yZIT-60G1tTI"},"outputs":[],"source":["corpus = pd.read_csv(\"/content/drive/MyDrive/SMSSpamCollection.unknown\",sep = '\\t',header = None)"]},{"cell_type":"code","execution_count":7,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":267},"executionInfo":{"elapsed":57,"status":"ok","timestamp":1667037671002,"user":{"displayName":"Putturu kusumakar Reddy","userId":"07552141107752951949"},"user_tz":-330},"id":"7rozCFI0-_4R","outputId":"206b99f1-21c7-414a-a79b-481923a385b2"},"outputs":[{"data":{"text/html":["\n","  <div id=\"df-9ac4e0e9-8529-4ef2-a8db-63df2c02467f\">\n","    <div class=\"colab-df-container\">\n","      <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>0</th>\n","      <th>1</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>ham</td>\n","      <td>Go until jurong point, crazy.. Available only in bugis n great world la e buffet... Cine there got amore wat...</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>ham</td>\n","      <td>Ok lar... Joking wif u oni...</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>spam</td>\n","      <td>Free entry in 2 a wkly comp to win FA Cup final tkts 21st May 2005. Text FA to 87121 to receive entry question(std txt rate)T&amp;C's apply 08452810075over18's</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>ham</td>\n","      <td>U dun say so early hor... U c already then say...</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>ham</td>\n","      <td>Nah I don't think he goes to usf, he lives around here though</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-9ac4e0e9-8529-4ef2-a8db-63df2c02467f')\"\n","              title=\"Convert this dataframe to an interactive table.\"\n","              style=\"display:none;\">\n","        \n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","       width=\"24px\">\n","    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n","    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n","  </svg>\n","      </button>\n","      \n","  <style>\n","    .colab-df-container {\n","      display:flex;\n","      flex-wrap:wrap;\n","      gap: 12px;\n","    }\n","\n","    .colab-df-convert {\n","      background-color: #E8F0FE;\n","      border: none;\n","      border-radius: 50%;\n","      cursor: pointer;\n","      display: none;\n","      fill: #1967D2;\n","      height: 32px;\n","      padding: 0 0 0 0;\n","      width: 32px;\n","    }\n","\n","    .colab-df-convert:hover {\n","      background-color: #E2EBFA;\n","      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n","      fill: #174EA6;\n","    }\n","\n","    [theme=dark] .colab-df-convert {\n","      background-color: #3B4455;\n","      fill: #D2E3FC;\n","    }\n","\n","    [theme=dark] .colab-df-convert:hover {\n","      background-color: #434B5C;\n","      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n","      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n","      fill: #FFFFFF;\n","    }\n","  </style>\n","\n","      <script>\n","        const buttonEl =\n","          document.querySelector('#df-9ac4e0e9-8529-4ef2-a8db-63df2c02467f button.colab-df-convert');\n","        buttonEl.style.display =\n","          google.colab.kernel.accessAllowed ? 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Visit the ' +\n","            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n","            + ' to learn more about interactive tables.';\n","          element.innerHTML = '';\n","          dataTable['output_type'] = 'display_data';\n","          await google.colab.output.renderOutput(dataTable, element);\n","          const docLink = document.createElement('div');\n","          docLink.innerHTML = docLinkHtml;\n","          element.appendChild(docLink);\n","        }\n","      </script>\n","    </div>\n","  </div>\n","  "],"text/plain":["      0  \\\n","0   ham   \n","1   ham   \n","2  spam   \n","3   ham   \n","4   ham   \n","\n","                                                                                                                                                             1  \n","0                                              Go until jurong point, crazy.. Available only in bugis n great world la e buffet... Cine there got amore wat...  \n","1                                                                                                                                Ok lar... Joking wif u oni...  \n","2  Free entry in 2 a wkly comp to win FA Cup final tkts 21st May 2005. Text FA to 87121 to receive entry question(std txt rate)T&C's apply 08452810075over18's  \n","3                                                                                                            U dun say so early hor... U c already then say...  \n","4                                                                                                Nah I don't think he goes to usf, he lives around here though  "]},"execution_count":7,"metadata":{},"output_type":"execute_result"}],"source":["corpus.head()"]},{"cell_type":"markdown","metadata":{"id":"rH6GyJmYvQBl"},"source":["#### Understand and analyse data"]},{"cell_type":"markdown","metadata":{"id":"SnklqeAy1tTJ"},"source":["Check the number of rows and columns"]},{"cell_type":"code","execution_count":8,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":58,"status":"ok","timestamp":1667037671005,"user":{"displayName":"Putturu kusumakar Reddy","userId":"07552141107752951949"},"user_tz":-330},"id":"5fE74bRB1tTK","outputId":"8f223dbb-2bf2-4d02-cb78-9084b228f393"},"outputs":[{"data":{"text/plain":["(5572, 2)"]},"execution_count":8,"metadata":{},"output_type":"execute_result"}],"source":["corpus.shape"]},{"cell_type":"markdown","metadata":{"id":"xiq_po0o1tTL"},"source":["#### Display top 5 rows"]},{"cell_type":"code","execution_count":9,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":267},"executionInfo":{"elapsed":56,"status":"ok","timestamp":1667037671007,"user":{"displayName":"Putturu kusumakar Reddy","userId":"07552141107752951949"},"user_tz":-330},"id":"zmjtdHh91tTL","outputId":"f1c3c318-53e5-4757-e4aa-c8ba43f8e6a8"},"outputs":[{"data":{"text/html":["\n","  <div id=\"df-bbf00638-9dc5-4ac3-809d-40ccc2cb1c68\">\n","    <div class=\"colab-df-container\">\n","      <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>0</th>\n","      <th>1</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>ham</td>\n","      <td>Go until jurong point, crazy.. Available only in bugis n great world la e buffet... Cine there got amore wat...</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>ham</td>\n","      <td>Ok lar... Joking wif u oni...</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>spam</td>\n","      <td>Free entry in 2 a wkly comp to win FA Cup final tkts 21st May 2005. Text FA to 87121 to receive entry question(std txt rate)T&amp;C's apply 08452810075over18's</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>ham</td>\n","      <td>U dun say so early hor... U c already then say...</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>ham</td>\n","      <td>Nah I don't think he goes to usf, he lives around here though</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-bbf00638-9dc5-4ac3-809d-40ccc2cb1c68')\"\n","              title=\"Convert this dataframe to an interactive table.\"\n","              style=\"display:none;\">\n","        \n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","       width=\"24px\">\n","    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n","    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n","  </svg>\n","      </button>\n","      \n","  <style>\n","    .colab-df-container {\n","      display:flex;\n","      flex-wrap:wrap;\n","      gap: 12px;\n","    }\n","\n","    .colab-df-convert {\n","      background-color: #E8F0FE;\n","      border: none;\n","      border-radius: 50%;\n","      cursor: pointer;\n","      display: none;\n","      fill: #1967D2;\n","      height: 32px;\n","      padding: 0 0 0 0;\n","      width: 32px;\n","    }\n","\n","    .colab-df-convert:hover {\n","      background-color: #E2EBFA;\n","      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n","      fill: #174EA6;\n","    }\n","\n","    [theme=dark] .colab-df-convert {\n","      background-color: #3B4455;\n","      fill: #D2E3FC;\n","    }\n","\n","    [theme=dark] .colab-df-convert:hover {\n","      background-color: #434B5C;\n","      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n","      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n","      fill: #FFFFFF;\n","    }\n","  </style>\n","\n","      <script>\n","        const buttonEl =\n","          document.querySelector('#df-bbf00638-9dc5-4ac3-809d-40ccc2cb1c68 button.colab-df-convert');\n","        buttonEl.style.display =\n","          google.colab.kernel.accessAllowed ? 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Visit the ' +\n","            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n","            + ' to learn more about interactive tables.';\n","          element.innerHTML = '';\n","          dataTable['output_type'] = 'display_data';\n","          await google.colab.output.renderOutput(dataTable, element);\n","          const docLink = document.createElement('div');\n","          docLink.innerHTML = docLinkHtml;\n","          element.appendChild(docLink);\n","        }\n","      </script>\n","    </div>\n","  </div>\n","  "],"text/plain":["      0  \\\n","0   ham   \n","1   ham   \n","2  spam   \n","3   ham   \n","4   ham   \n","\n","                                                                                                                                                             1  \n","0                                              Go until jurong point, crazy.. Available only in bugis n great world la e buffet... Cine there got amore wat...  \n","1                                                                                                                                Ok lar... Joking wif u oni...  \n","2  Free entry in 2 a wkly comp to win FA Cup final tkts 21st May 2005. Text FA to 87121 to receive entry question(std txt rate)T&C's apply 08452810075over18's  \n","3                                                                                                            U dun say so early hor... U c already then say...  \n","4                                                                                                Nah I don't think he goes to usf, he lives around here though  "]},"execution_count":9,"metadata":{},"output_type":"execute_result"}],"source":["corpus.head(5)"]},{"cell_type":"markdown","metadata":{"id":"zhbgYJvu1tTM"},"source":["Change column names from 0 and 1 to 'type' and 'text' respectively"]},{"cell_type":"code","execution_count":10,"metadata":{"executionInfo":{"elapsed":55,"status":"ok","timestamp":1667037671008,"user":{"displayName":"Putturu kusumakar Reddy","userId":"07552141107752951949"},"user_tz":-330},"id":"TobXjoVk1tTN"},"outputs":[],"source":["# Change Column names\n","corpus.rename(columns = {0:'type',1:'text'},inplace = True)"]},{"cell_type":"markdown","metadata":{"id":"CeSn8a4r1tTN"},"source":["Display top 5 rows"]},{"cell_type":"code","execution_count":11,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":267},"executionInfo":{"elapsed":56,"status":"ok","timestamp":1667037671010,"user":{"displayName":"Putturu kusumakar Reddy","userId":"07552141107752951949"},"user_tz":-330},"id":"_x2Qz1071tTN","outputId":"4fab4256-340d-42b7-8252-156eae95e41f"},"outputs":[{"data":{"text/html":["\n","  <div id=\"df-255d60f3-3e8d-4a6c-abf7-1b79b70abbb1\">\n","    <div class=\"colab-df-container\">\n","      <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>type</th>\n","      <th>text</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>ham</td>\n","      <td>Go until jurong point, crazy.. Available only in bugis n great world la e buffet... Cine there got amore wat...</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>ham</td>\n","      <td>Ok lar... Joking wif u oni...</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>spam</td>\n","      <td>Free entry in 2 a wkly comp to win FA Cup final tkts 21st May 2005. Text FA to 87121 to receive entry question(std txt rate)T&amp;C's apply 08452810075over18's</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>ham</td>\n","      <td>U dun say so early hor... U c already then say...</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>ham</td>\n","      <td>Nah I don't think he goes to usf, he lives around here though</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-255d60f3-3e8d-4a6c-abf7-1b79b70abbb1')\"\n","              title=\"Convert this dataframe to an interactive table.\"\n","              style=\"display:none;\">\n","        \n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","       width=\"24px\">\n","    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n","    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n","  </svg>\n","      </button>\n","      \n","  <style>\n","    .colab-df-container {\n","      display:flex;\n","      flex-wrap:wrap;\n","      gap: 12px;\n","    }\n","\n","    .colab-df-convert {\n","      background-color: #E8F0FE;\n","      border: none;\n","      border-radius: 50%;\n","      cursor: pointer;\n","      display: none;\n","      fill: #1967D2;\n","      height: 32px;\n","      padding: 0 0 0 0;\n","      width: 32px;\n","    }\n","\n","    .colab-df-convert:hover {\n","      background-color: #E2EBFA;\n","      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n","      fill: #174EA6;\n","    }\n","\n","    [theme=dark] .colab-df-convert {\n","      background-color: #3B4455;\n","      fill: #D2E3FC;\n","    }\n","\n","    [theme=dark] .colab-df-convert:hover {\n","      background-color: #434B5C;\n","      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n","      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n","      fill: #FFFFFF;\n","    }\n","  </style>\n","\n","      <script>\n","        const buttonEl =\n","          document.querySelector('#df-255d60f3-3e8d-4a6c-abf7-1b79b70abbb1 button.colab-df-convert');\n","        buttonEl.style.display =\n","          google.colab.kernel.accessAllowed ? 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Visit the ' +\n","            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n","            + ' to learn more about interactive tables.';\n","          element.innerHTML = '';\n","          dataTable['output_type'] = 'display_data';\n","          await google.colab.output.renderOutput(dataTable, element);\n","          const docLink = document.createElement('div');\n","          docLink.innerHTML = docLinkHtml;\n","          element.appendChild(docLink);\n","        }\n","      </script>\n","    </div>\n","  </div>\n","  "],"text/plain":["   type  \\\n","0   ham   \n","1   ham   \n","2  spam   \n","3   ham   \n","4   ham   \n","\n","                                                                                                                                                          text  \n","0                                              Go until jurong point, crazy.. Available only in bugis n great world la e buffet... Cine there got amore wat...  \n","1                                                                                                                                Ok lar... Joking wif u oni...  \n","2  Free entry in 2 a wkly comp to win FA Cup final tkts 21st May 2005. Text FA to 87121 to receive entry question(std txt rate)T&C's apply 08452810075over18's  \n","3                                                                                                            U dun say so early hor... U c already then say...  \n","4                                                                                                Nah I don't think he goes to usf, he lives around here though  "]},"execution_count":11,"metadata":{},"output_type":"execute_result"}],"source":["corpus.head()"]},{"cell_type":"markdown","metadata":{"id":"2AVI7ej01tTO"},"source":["#### Distribution of data w.r.t type"]},{"cell_type":"code","execution_count":12,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":57,"status":"ok","timestamp":1667037671013,"user":{"displayName":"Putturu kusumakar Reddy","userId":"07552141107752951949"},"user_tz":-330},"id":"F6UYmp731tTO","outputId":"59172b17-6919-44d5-b829-a75f30723710"},"outputs":[{"name":"stdout","output_type":"stream","text":["      text\n","type      \n","ham   4825\n","spam   747\n","ham     4825\n","spam     747\n","Name: type, dtype: int64\n"]}],"source":["print(corpus.groupby(\"type\").count())\n","print(corpus[\"type\"].value_counts())"]},{"cell_type":"markdown","metadata":{"id":"yhvrmfjx1tTP"},"source":["% distribution of data w.r.t type"]},{"cell_type":"code","execution_count":13,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":55,"status":"ok","timestamp":1667037671015,"user":{"displayName":"Putturu kusumakar Reddy","userId":"07552141107752951949"},"user_tz":-330},"id":"HmLrbY1B1tTP","outputId":"06698dbd-cc23-45d4-d5ac-f88c794fc91e"},"outputs":[{"data":{"text/plain":["ham     86.593683\n","spam    13.406317\n","Name: type, dtype: float64"]},"execution_count":13,"metadata":{},"output_type":"execute_result"}],"source":["corpus[\"type\"].value_counts(normalize = True)*100"]},{"cell_type":"markdown","metadata":{"id":"6jAaK0ZA1tTQ"},"source":["#### Checking for Null values"]},{"cell_type":"code","execution_count":14,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":601,"status":"ok","timestamp":1667037671565,"user":{"displayName":"Putturu kusumakar Reddy","userId":"07552141107752951949"},"user_tz":-330},"id":"V4E8DfR91tTQ","outputId":"e025a2ec-1d41-41f7-f844-7ab379c424cf"},"outputs":[{"data":{"text/plain":["type    0.0\n","text    0.0\n","dtype: float64"]},"execution_count":14,"metadata":{},"output_type":"execute_result"}],"source":["corpus.isna().mean()"]},{"cell_type":"code","execution_count":15,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":8,"status":"ok","timestamp":1667037671566,"user":{"displayName":"Putturu kusumakar Reddy","userId":"07552141107752951949"},"user_tz":-330},"id":"syFdN02HDka6","outputId":"daf17ee9-3671-4096-968e-4880fce78024"},"outputs":[{"data":{"text/plain":["type    0\n","text    0\n","dtype: int64"]},"execution_count":15,"metadata":{},"output_type":"execute_result"}],"source":["corpus.isna().sum()"]},{"cell_type":"markdown","metadata":{"id":"N7FL39Rs1tTR"},"source":["#### Observation: There are no Null values in the dataset"]},{"cell_type":"markdown","metadata":{"id":"EbbxtXfl1tTR"},"source":["### Text Pre-processing"]},{"cell_type":"code","execution_count":16,"metadata":{"executionInfo":{"elapsed":65537,"status":"ok","timestamp":1667037737099,"user":{"displayName":"Putturu kusumakar Reddy","userId":"07552141107752951949"},"user_tz":-330},"id":"KILYNoV81tTS"},"outputs":[],"source":["# Step - a: Remove blank rows if any\n","# corpus['text'].dropna(inplace=True) \n","\n","# Step - b: Change all the text to lower case. This is required as python interprets 'data' and 'DATA' differently\n","corpus['text'] = [sentence.lower() for sentence in corpus['text']]\n","\n","# Step - c: Tokenization and Remove Stop words, Numeric and perfom Word Lemmatization.\n","stop_words = list(STOP_WORDS)\n","for index, entry in enumerate(corpus['text']):\n","    tokens = [token.lemma_ for token in nlp(entry) if ((str(token) not in stop_words) and (token.is_alpha == True))]\n","    clean_text = \" \".join(tokens)\n","    corpus.loc[index,'clean_text'] = clean_text"]},{"cell_type":"code","execution_count":17,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":58,"status":"ok","timestamp":1667037737109,"user":{"displayName":"Putturu kusumakar Reddy","userId":"07552141107752951949"},"user_tz":-330},"id":"jFrc6-wGcKBL","outputId":"b8402391-c65d-4cdc-ca9b-8dc284e36356"},"outputs":[{"name":"stdout","output_type":"stream","text":["0 A\n","1 B\n","2 C\n","3 D\n"]}],"source":["# Example of enumerate\n","for index, entry in enumerate([\"A\",\"B\",\"C\",\"D\"]):\n","    print (index, entry)"]},{"cell_type":"markdown","metadata":{"id":"iD0wu_Iw1tTS"},"source":["#### Display top 5 rows after Text Pre-processing"]},{"cell_type":"code","execution_count":18,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":285},"executionInfo":{"elapsed":51,"status":"ok","timestamp":1667037737111,"user":{"displayName":"Putturu kusumakar Reddy","userId":"07552141107752951949"},"user_tz":-330},"id":"KE2NMY_O1tTT","outputId":"9f1f98ca-441d-4c30-ad57-c259f4fb0b50"},"outputs":[{"data":{"text/html":["\n","  <div id=\"df-cf991bc4-fc90-41bf-ad36-6367c9553c9c\">\n","    <div class=\"colab-df-container\">\n","      <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","    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cup final tkts text fa receive entry txt apply</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>ham</td>\n","      <td>u dun say so early hor... u c already then say...</td>\n","      <td>u dun early hor u c</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>ham</td>\n","      <td>nah i don't think he goes to usf, he lives around here though</td>\n","      <td>nah think go usf live</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-cf991bc4-fc90-41bf-ad36-6367c9553c9c')\"\n","              title=\"Convert this dataframe to an interactive table.\"\n","              style=\"display:none;\">\n","        \n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","       width=\"24px\">\n","    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n","    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 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buffet... cine there got amore wat...   \n","1                                                                                                                                ok lar... joking wif u oni...   \n","2  free entry in 2 a wkly comp to win fa cup final tkts 21st may 2005. text fa to 87121 to receive entry question(std txt rate)t&c's apply 08452810075over18's   \n","3                                                                                                            u dun say so early hor... u c already then say...   \n","4                                                                                                nah i don't think he goes to usf, he lives around here though   \n","\n","                                                                        clean_text  \n","0  jurong point crazy available bugis n great world la e buffet cine get amore wat  \n","1                                                            ok lar joke wif u oni  \n","2       free entry wkly comp win fa cup final tkts text fa receive entry txt apply  \n","3                                                              u dun early hor u c  \n","4                                                            nah think go usf live  "]},"execution_count":18,"metadata":{},"output_type":"execute_result"}],"source":["corpus.head()"]},{"cell_type":"code","execution_count":19,"metadata":{"executionInfo":{"elapsed":50,"status":"ok","timestamp":1667037737112,"user":{"displayName":"Putturu kusumakar Reddy","userId":"07552141107752951949"},"user_tz":-330},"id":"Idrkjt_-1tTT"},"outputs":[],"source":["# remove short words (length < 2)\n","corpus['meaningful_text'] = corpus['clean_text'].apply(lambda x: ' '.join([w for w in x.split() if len(w)>1]))"]},{"cell_type":"code","execution_count":20,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":320},"executionInfo":{"elapsed":50,"status":"ok","timestamp":1667037737113,"user":{"displayName":"Putturu kusumakar 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there got amore wat...</td>\n","      <td>jurong point crazy available bugis n great world la e buffet cine get amore wat</td>\n","      <td>jurong point crazy available bugis great world la buffet cine get amore wat</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>ham</td>\n","      <td>ok lar... joking wif u oni...</td>\n","      <td>ok lar joke wif u oni</td>\n","      <td>ok lar joke wif oni</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>spam</td>\n","      <td>free entry in 2 a wkly comp to win fa cup final tkts 21st may 2005. text fa to 87121 to receive entry question(std txt rate)t&amp;c's apply 08452810075over18's</td>\n","      <td>free entry wkly comp win fa cup final tkts text fa receive entry txt apply</td>\n","      <td>free entry wkly comp win fa cup final tkts text fa receive entry txt apply</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>ham</td>\n","      <td>u dun say so early hor... u c already then say...</td>\n","      <td>u dun early hor u c</td>\n","      <td>dun early hor</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>ham</td>\n","      <td>nah i don't think he goes to usf, he lives around here though</td>\n","      <td>nah think go usf live</td>\n","      <td>nah think go usf live</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-f8239c60-e117-446a-98fd-8dd6a79e5086')\"\n","              title=\"Convert this dataframe to an interactive table.\"\n","              style=\"display:none;\">\n","        \n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","       width=\"24px\">\n","    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n","    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 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'block' : 'none';\n","\n","        async function convertToInteractive(key) {\n","          const element = document.querySelector('#df-f8239c60-e117-446a-98fd-8dd6a79e5086');\n","          const dataTable =\n","            await google.colab.kernel.invokeFunction('convertToInteractive',\n","                                                     [key], {});\n","          if (!dataTable) return;\n","\n","          const docLinkHtml = 'Like what you see? Visit the ' +\n","            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n","            + ' to learn more about interactive tables.';\n","          element.innerHTML = '';\n","          dataTable['output_type'] = 'display_data';\n","          await google.colab.output.renderOutput(dataTable, element);\n","          const docLink = document.createElement('div');\n","          docLink.innerHTML = docLinkHtml;\n","          element.appendChild(docLink);\n","        }\n","      </script>\n","    </div>\n","  </div>\n","  "],"text/plain":["   type  \\\n","0   ham   \n","1   ham   \n","2  spam   \n","3   ham   \n","4   ham   \n","\n","                                                                                                                                                          text  \\\n","0                                              go until jurong point, crazy.. available only in bugis n great world la e buffet... cine there got amore wat...   \n","1                                                                                                                                ok lar... joking wif u oni...   \n","2  free entry in 2 a wkly comp to win fa cup final tkts 21st may 2005. text fa to 87121 to receive entry question(std txt rate)t&c's apply 08452810075over18's   \n","3                                                                                                            u dun say so early hor... u c already then say...   \n","4                                                                                                nah i don't think he goes to usf, he lives around here though   \n","\n","                                                                        clean_text  \\\n","0  jurong point crazy available bugis n great world la e buffet cine get amore wat   \n","1                                                            ok lar joke wif u oni   \n","2       free entry wkly comp win fa cup final tkts text fa receive entry txt apply   \n","3                                                              u dun early hor u c   \n","4                                                            nah think go usf live   \n","\n","                                                               meaningful_text  \n","0  jurong point crazy available bugis great world la buffet cine get amore wat  \n","1                                                          ok lar joke wif oni  \n","2   free entry wkly comp win fa cup final tkts text fa receive entry txt apply  \n","3                                                                dun early hor  \n","4                                                        nah think go usf live  "]},"execution_count":20,"metadata":{},"output_type":"execute_result"}],"source":["corpus.head()"]},{"cell_type":"code","execution_count":21,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":48,"status":"ok","timestamp":1667037737114,"user":{"displayName":"Putturu kusumakar Reddy","userId":"07552141107752951949"},"user_tz":-330},"id":"k-9DwMEI1tTU","outputId":"44544b76-30cf-46f7-ec2f-855c9d17b8e9"},"outputs":[{"data":{"text/plain":["type               object\n","text               object\n","clean_text         object\n","meaningful_text    object\n","dtype: object"]},"execution_count":21,"metadata":{},"output_type":"execute_result"}],"source":["corpus.dtypes"]},{"cell_type":"code","execution_count":22,"metadata":{"executionInfo":{"elapsed":43,"status":"ok","timestamp":1667037737116,"user":{"displayName":"Putturu kusumakar Reddy","userId":"07552141107752951949"},"user_tz":-330},"id":"c7jFozZK1tTV"},"outputs":[],"source":["# Convert the 'type' column to appropriate datatype\n","corpus['type'] = corpus['type'].astype(\"category\")"]},{"cell_type":"code","execution_count":23,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":43,"status":"ok","timestamp":1667037737117,"user":{"displayName":"Putturu kusumakar Reddy","userId":"07552141107752951949"},"user_tz":-330},"id":"Hqk4sAHi1tTW","outputId":"4ea3a04f-2e91-4c7d-88fe-953910b1c3c5"},"outputs":[{"data":{"text/plain":["type               category\n","text                 object\n","clean_text           object\n","meaningful_text      object\n","dtype: object"]},"execution_count":23,"metadata":{},"output_type":"execute_result"}],"source":["corpus.dtypes"]},{"cell_type":"markdown","metadata":{"id":"Dyaqc72_1tTY"},"source":["### Visualizing most frequent words using WordCloud"]},{"cell_type":"markdown","metadata":{"id":"qOSkVPYW1Qxk"},"source":["```Python\n","!pip install wordcloud\n","  (or)\n","!conda install -c conda-forge wordcloud=1.6.0\n","```"]},{"cell_type":"code","execution_count":24,"metadata":{"executionInfo":{"elapsed":41,"status":"ok","timestamp":1667037737118,"user":{"displayName":"Putturu kusumakar Reddy","userId":"07552141107752951949"},"user_tz":-330},"id":"HHwRRzkR1tTZ"},"outputs":[],"source":["from wordcloud import WordCloud\n","import matplotlib.pyplot as plt"]},{"cell_type":"code","execution_count":25,"metadata":{"executionInfo":{"elapsed":47,"status":"ok","timestamp":1667037737124,"user":{"displayName":"Putturu kusumakar Reddy","userId":"07552141107752951949"},"user_tz":-330},"id":"r2elrUgL1tTa"},"outputs":[],"source":["spam_messages = corpus[corpus[\"type\"] == \"spam\"][\"meaningful_text\"]\n","ham_messages = corpus[corpus[\"type\"] == \"ham\"][\"meaningful_text\"]"]},{"cell_type":"code","execution_count":26,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":310},"executionInfo":{"elapsed":1544,"status":"ok","timestamp":1667037738622,"user":{"displayName":"Putturu kusumakar Reddy","userId":"07552141107752951949"},"user_tz":-330},"id":"zm-kn7861tTa","outputId":"369da36f-2ce2-45d6-d8f0-3621ae13b2d0"},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 720x576 with 1 Axes>"]},"metadata":{"needs_background":"light"},"output_type":"display_data"}],"source":["wordcloud = WordCloud(max_font_size=80,max_words=30, background_color=\"red\").generate(str(spam_messages))\n","plt.figure(figsize=(10,8))\n","plt.imshow(wordcloud)\n","plt.axis(\"off\")\n","plt.show()"]},{"cell_type":"code","execution_count":27,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":310},"executionInfo":{"elapsed":49,"status":"ok","timestamp":1667037738623,"user":{"displayName":"Putturu kusumakar Reddy","userId":"07552141107752951949"},"user_tz":-330},"id":"OyMSZgY_1tTb","outputId":"0668140a-95d3-45bf-d7c3-2cb7cc81005e"},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 720x576 with 1 Axes>"]},"metadata":{"needs_background":"light"},"output_type":"display_data"}],"source":["wordcloud = WordCloud(max_font_size=80,max_words=30, background_color=\"gray\").generate(str(ham_messages))\n","plt.figure(figsize=(10,8))\n","plt.imshow(wordcloud)\n","plt.axis(\"off\")\n","plt.show()"]},{"cell_type":"markdown","metadata":{"id":"p4sjcedl1tTb"},"source":["#### Perform the train test split on the data and then build the model"]},{"cell_type":"code","execution_count":28,"metadata":{"executionInfo":{"elapsed":48,"status":"ok","timestamp":1667037738625,"user":{"displayName":"Putturu kusumakar Reddy","userId":"07552141107752951949"},"user_tz":-330},"id":"FU0I5lRf1tTc"},"outputs":[],"source":["train_X, test_X, train_y, test_y = train_test_split(corpus['meaningful_text'], corpus['type'], \n","                                                    stratify = corpus['type'],\n","                                                    test_size=0.3, random_state=123)\n"]},{"cell_type":"code","execution_count":29,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":49,"status":"ok","timestamp":1667037738627,"user":{"displayName":"Putturu kusumakar Reddy","userId":"07552141107752951949"},"user_tz":-330},"id":"JWy4WZg81tTc","outputId":"cffef312-585a-4114-f211-6a78da6a8284"},"outputs":[{"name":"stdout","output_type":"stream","text":["(3900,)\n","(1672,)\n","(3900,)\n","(1672,)\n"]}],"source":["print(train_X.shape)\n","print(test_X.shape)\n","print(train_y.shape)\n","print(test_y.shape)"]},{"cell_type":"code","execution_count":42,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":420,"status":"ok","timestamp":1667039114851,"user":{"displayName":"Putturu kusumakar Reddy","userId":"07552141107752951949"},"user_tz":-330},"id":"8dw2RPCX1tTd","outputId":"ecca8cef-e00b-4739-c647-1d385f1d1891"},"outputs":[{"data":{"text/plain":["4897                                                                           half year miss\n","376                                                                                    happen\n","2896                                                                     go ganesh dress shop\n","3472    heart love mind wisdom eye dream amp life frnd alwys touch good night amp sweet dream\n","2264           hear rude chat private line cum wan pic gettin shag text pix send stop sam xxx\n","Name: meaningful_text, dtype: object"]},"execution_count":42,"metadata":{},"output_type":"execute_result"}],"source":["train_X.head()\n"]},{"cell_type":"code","execution_count":49,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":13,"status":"ok","timestamp":1667039300886,"user":{"displayName":"Putturu kusumakar Reddy","userId":"07552141107752951949"},"user_tz":-330},"id":"4zUp-NdTRkHQ","outputId":"d308ca90-7abc-48dd-f406-e008a56ef5bf"},"outputs":[{"data":{"text/plain":["ham     86.589744\n","spam    13.410256\n","Name: type, dtype: float64"]},"execution_count":49,"metadata":{},"output_type":"execute_result"}],"source":["train_y.value_counts(normalize=True)*100"]},{"cell_type":"code","execution_count":50,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":369,"status":"ok","timestamp":1667039303857,"user":{"displayName":"Putturu kusumakar Reddy","userId":"07552141107752951949"},"user_tz":-330},"id":"LJL_xx3qRkFX","outputId":"2c4e35e9-18ad-417f-a5c2-55da36f9235d"},"outputs":[{"data":{"text/plain":["ham     86.602871\n","spam    13.397129\n","Name: type, dtype: float64"]},"execution_count":50,"metadata":{},"output_type":"execute_result"}],"source":["test_y.value_counts(normalize=True)*100"]},{"cell_type":"code","execution_count":31,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":42,"status":"ok","timestamp":1667037738629,"user":{"displayName":"Putturu kusumakar Reddy","userId":"07552141107752951949"},"user_tz":-330},"id":"2-Bt4ytK1tTd","outputId":"5c4f5d4e-1932-4e53-e5f7-4c76741a870a"},"outputs":[{"data":{"text/plain":["4897     ham\n","376      ham\n","2896     ham\n","3472     ham\n","2264    spam\n","Name: type, dtype: category\n","Categories (2, object): ['ham', 'spam']"]},"execution_count":31,"metadata":{},"output_type":"execute_result"}],"source":["train_y.head()"]},{"cell_type":"code","execution_count":32,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":40,"status":"ok","timestamp":1667037738631,"user":{"displayName":"Putturu kusumakar Reddy","userId":"07552141107752951949"},"user_tz":-330},"id":"jGOjU6xZ1tTd","outputId":"e0f61640-86af-41d1-a74d-fcb123d0d4fd"},"outputs":[{"data":{"text/plain":["4620                                                                   sorry later meeting\n","573                                                                              open door\n","1591        somewhr surely god decide perfect time meet dat person till den enjoy ur crush\n","1236    opinion jada kusruthi lovable silent spl character mature stylish simple pls reply\n","4819                                                                              ur paper\n","Name: meaningful_text, dtype: object"]},"execution_count":32,"metadata":{},"output_type":"execute_result"}],"source":["test_X.head()"]},{"cell_type":"code","execution_count":33,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":36,"status":"ok","timestamp":1667037738632,"user":{"displayName":"Putturu kusumakar Reddy","userId":"07552141107752951949"},"user_tz":-330},"id":"Nw-5jaNv1tTe","outputId":"977088c3-db99-4438-baaf-b9669178935d"},"outputs":[{"data":{"text/plain":["4620    ham\n","573     ham\n","1591    ham\n","1236    ham\n","4819    ham\n","Name: type, dtype: category\n","Categories (2, object): ['ham', 'spam']"]},"execution_count":33,"metadata":{},"output_type":"execute_result"}],"source":["test_y.head()"]},{"cell_type":"markdown","metadata":{"id":"NnirwThm1tTe"},"source":["### Calculate TF-TDF\n","####  Term Frequency: This summarizes how often a given word appears within a document\n","#### Inverse Document Frequency: This down scales words that appear a lot across documents"]},{"cell_type":"code","execution_count":34,"metadata":{"executionInfo":{"elapsed":33,"status":"ok","timestamp":1667037738634,"user":{"displayName":"Putturu kusumakar Reddy","userId":"07552141107752951949"},"user_tz":-330},"id":"sFbbPbn51tTf"},"outputs":[],"source":["# Extending stop words list\n","stop_words = list(stop_words) + ['aa','aah','da','lar','ok']\n","\n","Tfidf_vect = TfidfVectorizer(stop_words=stop_words, max_df=0.8)\n","\n","Tfidf_vect.fit(train_X)\n","\n","train_X_Tfidf = Tfidf_vect.transform(train_X)\n","test_X_Tfidf = Tfidf_vect.transform(test_X)"]},{"cell_type":"code","execution_count":35,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":34,"status":"ok","timestamp":1667037738636,"user":{"displayName":"Putturu kusumakar Reddy","userId":"07552141107752951949"},"user_tz":-330},"id":"laXw2kXY1tTf","outputId":"7ed7365d-57ca-4d86-92b9-ce00dacffa62"},"outputs":[{"name":"stdout","output_type":"stream","text":["(3900, 5032)\n"]}],"source":["print(train_X_Tfidf.shape)"]},{"cell_type":"code","execution_count":58,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":14,"status":"ok","timestamp":1667039966627,"user":{"displayName":"Putturu kusumakar Reddy","userId":"07552141107752951949"},"user_tz":-330},"id":"w296mi6p1tTf","outputId":"0ab831e1-91ad-4320-e7b6-b83d39f8f2a8"},"outputs":[{"name":"stdout","output_type":"stream","text":["  (0, 1825)\t0.6306275932707028\n","  (0, 2717)\t0.5335939210290623\n","  (0, 4983)\t0.5635480157417216\n","  (0, 1825)\t0.6306275932707028\n","  (0, 2717)\t0.5335939210290623\n","  (0, 4983)\t0.5635480157417216\n"]}],"source":["print(train_X_Tfidf[0])\n","print(train_X_Tfidf[:1])"]},{"cell_type":"code","execution_count":37,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":299},"executionInfo":{"elapsed":579,"status":"ok","timestamp":1667037739188,"user":{"displayName":"Putturu kusumakar Reddy","userId":"07552141107752951949"},"user_tz":-330},"id":"gs9KFXpI1tTg","outputId":"1ab628fa-619d-4c3a-f7b3-8a7aea84d55d"},"outputs":[{"data":{"text/html":["\n","  <div id=\"df-2d5251af-6fc8-449a-8d67-21e84c6ca64c\">\n","    <div class=\"colab-df-container\">\n","      <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\" 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columns=Tfidf_vect.get_feature_names_out())\n","tfidf_Mat.head()"]},{"cell_type":"code","execution_count":38,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":62,"status":"ok","timestamp":1667037739188,"user":{"displayName":"Putturu kusumakar Reddy","userId":"07552141107752951949"},"user_tz":-330},"id":"wNjnMXsC051R","outputId":"0bb2e5e1-c659-4bb0-9c66-68ce9d55cdc4"},"outputs":[{"name":"stdout","output_type":"stream","text":["['aaooooright', 'aathi', 'ab', 'abbey', 'abeg', 'abel', 'aberdeen', 'abi', 'ability', 'abiola', 'abj', 'able', 'abnormally', 'abouta', 'absolutly', 'abstract', 'abt', 'abta', 'aburo', 'abuse', 'abuser', 'ac', 'academic', 'acc', 'accent', 'accenture', 'accept', 'access', 'accessible', 'accidant', 'accident', 'accidentally', 'accommodation', 'accommodationvoucher', 'accomodate', 'accomodation', 'accordingly', 'account', 'accumulation', 'achan', 'ache', 'achieve', 'acnt', 'act', 'action', 'activate', 'active', 'activity', 'actor', 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'version', 'versus', 'vettam', 'vibrant', 'vibrate', 'vibrator', 'vic', 'victor', 'victoria', 'vid', 'video', 'videochat', 'videophone', 'view', 'vijay', 'vijaykanth', 'vikky', 'vill', 'villa', 'village', 'vinobanagar', 'violate', 'violence', 'violet', 'vip', 'virgil', 'virgin', 'virtual', 'visa', 'visit', 'visitor', 'vital', 'vitamin', 'viva', 'vivek', 'vl', 'voda', 'vodafone', 'vodka', 'voice', 'voicemail', 'volcano', 'vomit', 'vomitin', 'vote', 'voucher', 'vpod', 'vry', 'vth', 'vu', 'wa', 'waaaat', 'wad', 'wah', 'wahala', 'wahee', 'waheed', 'waht', 'wait', 'waitin', 'wake', 'wale', 'walk', 'walkabout', 'walkin', 'wall', 'wallet', 'wallpaper', 'walmart', 'wan', 'wana', 'wanna', 'want', 'wap', 'waqt', 'warm', 'warn', 'warner', 'warning', 'warranty', 'warwick', 'washob', 'waste', 'wat', 'watch', 'watchin', 'watchng', 'wate', 'water', 'watever', 'watevr', 'watt', 'wave', 'way', 'weak', 'weakness', 'weapon', 'wear', 'weather', 'web', 'webadre', 'webeburnin', 'webpage', 'website', 'wed', 'wedding', 'weddingfriend', 'wednesday', 'wee', 'weed', 'week', 'weekday', 'weekend', 'weekly', 'weigh', 'weight', 'weightloss', 'weird', 'weirdo', 'weirdy', 'weiyi', 'welcome', 'wellda', 'welp', 'wen', 'wenever', 'went', 'werebore', 'werethe', 'wesley', 'west', 'western', 'westlife', 'westonzoyland', 'wet', 'wetherspoon', 'wewa', 'whassup', 'whatsup', 'wheat', 'wheellock', 'whenevr', 'whereare', 'wherevr', 'wherre', 'whisper', 'white', 'whn', 'whore', 'whr', 'wi', 'wicked', 'wicket', 'wicklow', 'wid', 'wif', 'wife', 'wifi', 'wihtuot', 'wil', 'wild', 'wildest', 'wildlife', 'willing', 'willpower', 'win', 'wind', 'window', 'wine', 'wing', 'winner', 'winning', 'winterstone', 'wisdom', 'wise', 'wish', 'wished', 'wishin', 'wishlist', 'wiskey', 'wit', 'wither', 'witin', 'witot', 'wiv', 'wizzle', 'wk', 'wkend', 'wkg', 'wkly', 'wks', 'wld', 'wn', 'wnevr', 'wnt', 'wocay', 'woman', 'womdarfull', 'wondar', 'wondarfull', 'wonder', 'wonderful', 'woo', 'wood', 'woohoo', 'woould', 'worc', 'word', 'work', 'workage', 'workin', 'working', 'workout', 'world', 'worm', 'worried', 'worry', 'worrying', 'worth', 'worthless', 'wot', 'wotu', 'woulda', 'wound', 'wow', 'wrc', 'wreck', 'wrench', 'wright', 'write', 'writhe', 'wrk', 'wrld', 'wrnog', 'wrong', 'wrongly', 'wt', 'wtc', 'wtf', 'wud', 'wuld', 'wuldnt', 'wun', 'wylie', 'xafter', 'xam', 'xavier', 'xchat', 'xma', 'xmas', 'xoxo', 'xt', 'xuhui', 'xx', 'xxx', 'xxxx', 'xxxxx', 'xxxxxx', 'xxxxxxx', 'xxxxxxxx', 'xxxxxxxxxxxxxx', 'xy', 'ya', 'yah', 'yahoo', 'yalrigu', 'yalru', 'yam', 'yan', 'yar', 'yard', 'yavnt', 'yaxx', 'yay', 'yck', 'yeah', 'year', 'yeh', 'yell', 'yellow', 'yen', 'yep', 'yer', 'yes', 'yest', 'yesterday', 'yetty', 'yetunde', 'yifeng', 'yijue', 'ym', 'ymca', 'yo', 'yoga', 'yogasana', 'yor', 'yorge', 'youdoe', 'young', 'yourinclusive', 'yourjob', 'youuuuu', 'yoville', 'yr', 'yrs', 'yummy', 'yun', 'yunny', 'yuo', 'yuou', 'yup', 'yupz', 'zac', 'zaher', 'ze', 'zealand', 'zebra', 'zero', 'zhong', 'zindgi', 'zoe', 'zogtorius', 'zoom', 'zouk', 'zyada']\n"]}],"source":["print([col for col in tfidf_Mat.columns])"]},{"cell_type":"markdown","metadata":{"id":"efGJDXZ61tTh"},"source":["#### Use the ML Algorithms to Predict the label"]},{"cell_type":"markdown","metadata":{"id":"0IHNePCW1tTh"},"source":["#### Naive Bayes"]},{"cell_type":"code","execution_count":39,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":45,"status":"ok","timestamp":1667037739190,"user":{"displayName":"Putturu kusumakar Reddy","userId":"07552141107752951949"},"user_tz":-330},"id":"a5y6rOl61tTh","outputId":"f04fb22d-e2e7-44ce-e95f-e0bda6bfae22"},"outputs":[{"name":"stdout","output_type":"stream","text":["Naive Bayes Accuracy Score on Train set      ->  97.0\n","Naive Bayes Accuracy Score on Validation set ->  96.65071770334929\n","Naive Bayes Recall Score on Validation set   ->  75.0\n","Naive Bayes Precision Score on Validation set->  100.0\n"]}],"source":["# fit the training dataset on the NB classifier\n","Naive = naive_bayes.MultinomialNB()\n","Naive.fit(train_X_Tfidf, train_y)\n","\n","# predict the labels on train dataset\n","pred_train = Naive.predict(train_X_Tfidf)\n","\n","# predict the labels on validation dataset\n","pred_test = Naive.predict(test_X_Tfidf)\n","\n","# Use accuracy_score function to get the accuracy\n","print(\"Naive Bayes Accuracy Score on Train set      -> \", accuracy_score(train_y, pred_train)*100)\n","print(\"Naive Bayes Accuracy Score on Validation set -> \", accuracy_score(test_y, pred_test)*100)\n","print(\"Naive Bayes Recall Score on Validation set   -> \", recall_score(test_y, pred_test, pos_label='spam')*100)\n","print(\"Naive Bayes Precision Score on Validation set-> \", precision_score(test_y, pred_test, pos_label='spam')*100)"]},{"cell_type":"markdown","metadata":{"id":"yFeZghcz1tTi"},"source":["#### SVM"]},{"cell_type":"code","execution_count":40,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":20,"status":"ok","timestamp":1667037739193,"user":{"displayName":"Putturu kusumakar Reddy","userId":"07552141107752951949"},"user_tz":-330},"id":"LzD9f7DI1tTj","outputId":"1597283a-0b00-4a82-d65a-44d1fc614c79"},"outputs":[{"name":"stdout","output_type":"stream","text":["SVM Accuracy Score on Train set.     ->  99.2051282051282\n","SVM Accuracy Score on Validation set ->  98.20574162679426\n","SVM Recall Score on Validation set.  ->  88.83928571428571\n","SVM Precision Score on Validation set->  97.54901960784314\n"]}],"source":["# Classifier - Algorithm - SVM\n","# fit the training dataset on the classifier\n","SVM = svm.SVC(kernel='linear')\n","SVM.fit(train_X_Tfidf,train_y)\n","\n","# predict the labels on train dataset\n","pred_train1 = SVM.predict(train_X_Tfidf)\n","\n","# predict the labels on validation dataset\n","pred_test1 = SVM.predict(test_X_Tfidf)\n","\n","# Use accuracy_score function to get the accuracy\n","print(\"SVM Accuracy Score on Train set.     -> \", accuracy_score(train_y, pred_train1)*100)\n","print(\"SVM Accuracy Score on Validation set -> \", accuracy_score(test_y, pred_test1)*100)\n","print(\"SVM Recall Score on Validation set.  -> \", recall_score(test_y, pred_test1, pos_label='spam')*100)\n","print(\"SVM Precision Score on Validation set-> \", precision_score(test_y, pred_test1, pos_label='spam')*100)"]},{"cell_type":"markdown","metadata":{"id":"YxhOAyrF1tTj"},"source":["__Observation__: \n","\n","    Recall is the performance metric in this case. \n","    Based on the Recall score, SVM performed better than Naive Bayes"]}],"metadata":{"colab":{"collapsed_sections":["N7FL39Rs1tTR","efGJDXZ61tTh"],"provenance":[]},"kernelspec":{"display_name":"Python 3 (ipykernel)","language":"python","name":"python3"},"language_info":{"codemirror_mode":{"name":"ipython","version":3},"file_extension":".py","mimetype":"text/x-python","name":"python","nbconvert_exporter":"python","pygments_lexer":"ipython3","version":"3.9.12"}},"nbformat":4,"nbformat_minor":0}