spam_classifier.ipynb

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    "colab": {
      "name": "spam-classifier.ipynb",
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    }
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  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "faqf-M4h_qMt",
        "colab_type": "text"
      },
      "source": [
        "#                                            Email Spam Filtering"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "kFo7MgJl_qMw",
        "colab_type": "text"
      },
      "source": [
        "# Importing Libraries"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "sDYkqGS9_qMy",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "import pandas as pd\n",
        "import numpy as np\n",
        "from sklearn.model_selection import train_test_split\n",
        "from sklearn.feature_extraction.text import CountVectorizer,TfidfVectorizer\n",
        "from sklearn.naive_bayes import MultinomialNB\n",
        "from sklearn.metrics import accuracy_score\n",
        "import string\n",
        "import matplotlib.pyplot as plt"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "JreIP_dL_qM3",
        "colab_type": "text"
      },
      "source": [
        "# Reading Dataset"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Swb50lk6_qM5",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "dataset = pd.read_csv('/content/hamspam.tsv',sep='\\t',names=['Output','Message'])"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "xcx4NuQt_qM-",
        "colab_type": "text"
      },
      "source": [
        "# Exploratory Data Analysis"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "c0eeOWEm_qM_",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 204
        },
        "outputId": "4a23c8bd-d289-4b7c-a2b8-05c8c6881357"
      },
      "source": [
        "dataset.head()"
      ],
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Output</th>\n",
              "      <th>Message</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>ham</td>\n",
              "      <td>I've been searching for the right words to tha...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>spam</td>\n",
              "      <td>Free entry in 2 a wkly comp to win FA Cup fina...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>ham</td>\n",
              "      <td>Nah I don't think he goes to usf, he lives aro...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>ham</td>\n",
              "      <td>Even my brother is not like to speak with me. ...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>ham</td>\n",
              "      <td>I HAVE A DATE ON SUNDAY WITH WILL!!</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "  Output                                            Message\n",
              "0    ham  I've been searching for the right words to tha...\n",
              "1   spam  Free entry in 2 a wkly comp to win FA Cup fina...\n",
              "2    ham  Nah I don't think he goes to usf, he lives aro...\n",
              "3    ham  Even my brother is not like to speak with me. ...\n",
              "4    ham                I HAVE A DATE ON SUNDAY WITH WILL!!"
            ]
          },
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          },
          "execution_count": 4
        }
      ]
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      "cell_type": "code",
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          "height": 136
        },
        "outputId": "8c7ddf08-4567-48bc-f439-cd7a18141745"
      },
      "source": [
        "dataset.info()"
      ],
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 5568 entries, 0 to 5567\n",
            "Data columns (total 2 columns):\n",
            "Output     5568 non-null object\n",
            "Message    5568 non-null object\n",
            "dtypes: object(2)\n",
            "memory usage: 87.1+ KB\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "k-pZha0g_qNM",
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          "height": 173
        },
        "outputId": "89803a21-1199-46c7-f5ff-df2909bd2df1"
      },
      "source": [
        "dataset.describe()"
      ],
      "execution_count": 6,
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Output</th>\n",
              "      <th>Message</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>5568</td>\n",
              "      <td>5568</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>unique</th>\n",
              "      <td>2</td>\n",
              "      <td>5165</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>top</th>\n",
              "      <td>ham</td>\n",
              "      <td>Sorry, I'll call later</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>freq</th>\n",
              "      <td>4822</td>\n",
              "      <td>30</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "       Output                 Message\n",
              "count    5568                    5568\n",
              "unique      2                    5165\n",
              "top       ham  Sorry, I'll call later\n",
              "freq     4822                      30"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "rDvBQfyM_qNR",
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      },
      "source": [
        "dataset['Length'] = dataset['Message'].apply(len)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "XzT0L9d1_qNW",
        "colab_type": "code",
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          "height": 204
        },
        "outputId": "0bff3a63-bd2d-4c6d-8635-51fe333af406"
      },
      "source": [
        "dataset.head()"
      ],
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "execute_result",
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              "  <thead>\n",
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              "      <th></th>\n",
              "      <th>Output</th>\n",
              "      <th>Message</th>\n",
              "      <th>Length</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>ham</td>\n",
              "      <td>I've been searching for the right words to tha...</td>\n",
              "      <td>196</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>spam</td>\n",
              "      <td>Free entry in 2 a wkly comp to win FA Cup fina...</td>\n",
              "      <td>155</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>ham</td>\n",
              "      <td>Nah I don't think he goes to usf, he lives aro...</td>\n",
              "      <td>61</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>ham</td>\n",
              "      <td>Even my brother is not like to speak with me. ...</td>\n",
              "      <td>77</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>ham</td>\n",
              "      <td>I HAVE A DATE ON SUNDAY WITH WILL!!</td>\n",
              "      <td>35</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "  Output                                            Message  Length\n",
              "0    ham  I've been searching for the right words to tha...     196\n",
              "1   spam  Free entry in 2 a wkly comp to win FA Cup fina...     155\n",
              "2    ham  Nah I don't think he goes to usf, he lives aro...      61\n",
              "3    ham  Even my brother is not like to speak with me. ...      77\n",
              "4    ham                I HAVE A DATE ON SUNDAY WITH WILL!!      35"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 8
        }
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    {
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      "metadata": {
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        "colab": {
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          "height": 142
        },
        "outputId": "eb7b5f17-c1b5-4dad-cb72-b632ee6bc254"
      },
      "source": [
        "dataset.groupby('Output').count()"
      ],
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Message</th>\n",
              "      <th>Length</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Output</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>ham</th>\n",
              "      <td>4822</td>\n",
              "      <td>4822</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>spam</th>\n",
              "      <td>746</td>\n",
              "      <td>746</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
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            ],
            "text/plain": [
              "        Message  Length\n",
              "Output                 \n",
              "ham        4822    4822\n",
              "spam        746     746"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 9
        }
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      "cell_type": "code",
      "metadata": {
        "id": "ryfp36sQ_qNi",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 170
        },
        "outputId": "03c20d49-bc36-409b-8da1-457d51fa1840"
      },
      "source": [
        "dataset['Length'].describe()"
      ],
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "count    5568.000000\n",
              "mean       80.487428\n",
              "std        59.950961\n",
              "min         2.000000\n",
              "25%        36.000000\n",
              "50%        62.000000\n",
              "75%       122.000000\n",
              "max       910.000000\n",
              "Name: Length, dtype: float64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 10
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    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "gO9WHJ2b_qNo",
        "colab_type": "text"
      },
      "source": [
        "# Data Preprocessing"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "3ijXC_L0_qNp",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "y = dataset['Output'].values"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "kEgp5uPO_qNt",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "e67a43c7-f83f-40dd-f0c3-22d104488a00"
      },
      "source": [
        "y"
      ],
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array(['ham', 'spam', 'ham', ..., 'ham', 'ham', 'ham'], dtype=object)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 12
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "wQ3B8eho_qNx",
        "colab_type": "text"
      },
      "source": [
        "## Convert Value Of Ham = 1 & Spam = 0"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "wjXdPJbH_qN1",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "dataset.loc[dataset['Output']==\"ham\",\"Output\"] = 1"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Lz6NvW1d_qN5",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "dataset.loc[dataset['Output']==\"spam\",\"Output\"] = 0"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "sYwA3UnC_qN9",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 204
        },
        "outputId": "8cc62017-9cc9-4ce8-e814-57152401b36e"
      },
      "source": [
        "dataset.head()"
      ],
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "  <thead>\n",
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              "      <th></th>\n",
              "      <th>Output</th>\n",
              "      <th>Message</th>\n",
              "      <th>Length</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1</td>\n",
              "      <td>I've been searching for the right words to tha...</td>\n",
              "      <td>196</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>0</td>\n",
              "      <td>Free entry in 2 a wkly comp to win FA Cup fina...</td>\n",
              "      <td>155</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>1</td>\n",
              "      <td>Nah I don't think he goes to usf, he lives aro...</td>\n",
              "      <td>61</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>1</td>\n",
              "      <td>Even my brother is not like to speak with me. ...</td>\n",
              "      <td>77</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>1</td>\n",
              "      <td>I HAVE A DATE ON SUNDAY WITH WILL!!</td>\n",
              "      <td>35</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   Output                                            Message  Length\n",
              "0       1  I've been searching for the right words to tha...     196\n",
              "1       0  Free entry in 2 a wkly comp to win FA Cup fina...     155\n",
              "2       1  Nah I don't think he goes to usf, he lives aro...      61\n",
              "3       1  Even my brother is not like to speak with me. ...      77\n",
              "4       1                I HAVE A DATE ON SUNDAY WITH WILL!!      35"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 15
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "kySYXwhY_qOB",
        "colab_type": "text"
      },
      "source": [
        "## Process On Messages"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "DaD8fM8C_qOD",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "def cleanMessage(message):\n",
        "    nonPunc = [char for char in message if char not in string.punctuation]\n",
        "    nonPunc = \"\".join(nonPunc)\n",
        "    return nonPunc"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "co430Knv_qOH",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "dataset['Message'] = dataset['Message'].apply(cleanMessage)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "YT-EVuun_qOK",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 204
        },
        "outputId": "367214cf-89c8-4cb8-9af8-d2dfa7e13c43"
      },
      "source": [
        "dataset.head()"
      ],
      "execution_count": 18,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "\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>Output</th>\n",
              "      <th>Message</th>\n",
              "      <th>Length</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1</td>\n",
              "      <td>Ive been searching for the right words to than...</td>\n",
              "      <td>196</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>0</td>\n",
              "      <td>Free entry in 2 a wkly comp to win FA Cup fina...</td>\n",
              "      <td>155</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>1</td>\n",
              "      <td>Nah I dont think he goes to usf he lives aroun...</td>\n",
              "      <td>61</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>1</td>\n",
              "      <td>Even my brother is not like to speak with me T...</td>\n",
              "      <td>77</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>1</td>\n",
              "      <td>I HAVE A DATE ON SUNDAY WITH WILL</td>\n",
              "      <td>35</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   Output                                            Message  Length\n",
              "0       1  Ive been searching for the right words to than...     196\n",
              "1       0  Free entry in 2 a wkly comp to win FA Cup fina...     155\n",
              "2       1  Nah I dont think he goes to usf he lives aroun...      61\n",
              "3       1  Even my brother is not like to speak with me T...      77\n",
              "4       1                  I HAVE A DATE ON SUNDAY WITH WILL      35"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 18
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "taUFfokb_qOO",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "CV = CountVectorizer(stop_words=\"english\")"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "yY6FQUdN_qOT",
        "colab_type": "text"
      },
      "source": [
        "## Independent And depended Data Organization"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "etSjiNq__qOU",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "X = dataset['Message'].values"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "VG_n48v6_qOZ",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "y = dataset['Output'].values"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "0UlD9QwO_qOe",
        "colab_type": "text"
      },
      "source": [
        "## Train And Test Data"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "-t0HqgEq_qOf",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "X_train,X_test,y_train,y_test = train_test_split(X,y,test_size=0.2)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "h92d8cBs_qOi",
        "colab_type": "text"
      },
      "source": [
        "## Data Munging"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "AXhmz3OA_qOj",
        "colab_type": "text"
      },
      "source": [
        "### Data Munging (or Data Wrangling), it means preparing your data for a dedicated purpose - taking the data from its raw state and transforming and mapping into another format, normally for use beyond its original intent."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "bkAv0Eqm_qOk",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "X_train_CV = CV.fit_transform(X_train)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "DXwOjVFY_qOq",
        "colab_type": "text"
      },
      "source": [
        "# 1. Naive Bayse :- Multinomial"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "n66Z4fUm_qOr",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "NB = MultinomialNB()"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "hyvCOSuD_qOv",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "96f70090-924f-41d5-f5e2-bbabb9c3e6e2"
      },
      "source": [
        "NB.fit(X_train_CV,y_train)"
      ],
      "execution_count": 25,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "MultinomialNB(alpha=1.0, class_prior=None, fit_prior=True)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 25
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "JUh38CTL_qOz",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "X_test_CV = CV.transform(X_test)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "E3cELeM7_qO3",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "Y_predict = NB.predict(X_test_CV)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "MglEqsto_qO6",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "result = accuracy_score(y_test,Y_predict)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "thfpPG5D_qPA",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "b986993b-005e-4a1b-8b82-ad142a6744a9"
      },
      "source": [
        "print(\"Accuracy Of Prediction :-\",result*100)"
      ],
      "execution_count": 29,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Accuracy Of Prediction :- 98.02513464991023\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "TOERHdgZ_qPF",
        "colab_type": "text"
      },
      "source": [
        "## Realtime Application Of Spam Filtering :- "
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "jGLt0HHX_qPG",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 68
        },
        "outputId": "7f5f6a8f-9254-48ea-dfad-eac1c64ca130"
      },
      "source": [
        "email  = input(\"Enter Email :- \")\n",
        "body = input(\"Enter Body Of Content :- \")\n",
        "bodyInput = CV.transform([body])\n",
        "result = NB.predict(bodyInput)\n",
        "if(result[0]==0):\n",
        "    print(\"This Is Spam Mail\")\n",
        "else:\n",
        "    print(\"Email Sent\")"
      ],
      "execution_count": 34,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Enter Email :- saurabh.cegian@gmail.com\n",
            "Enter Body Of Content :- you won lottery today.\n",
            "This Is Spam Mail\n"
          ],
          "name": "stdout"
        }
      ]
    }
  ]
}