nlp.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Modèle de classement des textos en spam"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "on cherche à entraîner un modèle capable de prédire si un texto est un spam ou non. \n",
    "\n",
    "On s'appuie pour cela sur une base de données contenant des sms labellisés comme spam ou non spam (ham)\n",
    "\n",
    "source : \n",
    "* https://archive.ics.uci.edu/ml/datasets.php\n",
    "* readme  "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "toc": true
   },
   "source": [
    "<h1>Table of Contents<span class=\"tocSkip\"></span></h1>\n",
    "<div class=\"toc\"><ul class=\"toc-item\"><li><span><a href=\"#Import\" data-toc-modified-id=\"Import-1\"><span class=\"toc-item-num\">1&nbsp;&nbsp;</span>Import</a></span></li><li><span><a href=\"#Exploratory-Data-Analysis-(EDA)\" data-toc-modified-id=\"Exploratory-Data-Analysis-(EDA)-2\"><span class=\"toc-item-num\">2&nbsp;&nbsp;</span>Exploratory Data Analysis (EDA)</a></span><ul class=\"toc-item\"><li><span><a href=\"#Taille-des-messages\" data-toc-modified-id=\"Taille-des-messages-2.1\"><span class=\"toc-item-num\">2.1&nbsp;&nbsp;</span>Taille des messages</a></span></li></ul></li><li><span><a href=\"#nettoyage\" data-toc-modified-id=\"nettoyage-3\"><span class=\"toc-item-num\">3&nbsp;&nbsp;</span>nettoyage</a></span></li><li><span><a href=\"#Matrice-de-termes\" data-toc-modified-id=\"Matrice-de-termes-4\"><span class=\"toc-item-num\">4&nbsp;&nbsp;</span>Matrice de termes</a></span></li><li><span><a href=\"#Nettoyage-2\" data-toc-modified-id=\"Nettoyage-2-5\"><span class=\"toc-item-num\">5&nbsp;&nbsp;</span>Nettoyage 2</a></span><ul class=\"toc-item\"><li><span><a href=\"#Liste-de-stop-words\" data-toc-modified-id=\"Liste-de-stop-words-5.1\"><span class=\"toc-item-num\">5.1&nbsp;&nbsp;</span>Liste de stop words</a></span></li></ul></li><li><span><a href=\"#Nuage-de-mots\" data-toc-modified-id=\"Nuage-de-mots-6\"><span class=\"toc-item-num\">6&nbsp;&nbsp;</span>Nuage de mots</a></span><ul class=\"toc-item\"><li><span><a href=\"#Split\" data-toc-modified-id=\"Split-6.1\"><span class=\"toc-item-num\">6.1&nbsp;&nbsp;</span>Split</a></span></li><li><span><a href=\"#Entrainement-avec-randomforest\" data-toc-modified-id=\"Entrainement-avec-randomforest-6.2\"><span class=\"toc-item-num\">6.2&nbsp;&nbsp;</span>Entrainement avec randomforest</a></span></li><li><span><a href=\"#Matrice-de-confusion\" data-toc-modified-id=\"Matrice-de-confusion-6.3\"><span class=\"toc-item-num\">6.3&nbsp;&nbsp;</span>Matrice de confusion</a></span></li><li><span><a href=\"#ACP\" data-toc-modified-id=\"ACP-6.4\"><span class=\"toc-item-num\">6.4&nbsp;&nbsp;</span>ACP</a></span></li><li><span><a href=\"#RFR---RandomForestRegressor\" data-toc-modified-id=\"RFR---RandomForestRegressor-6.5\"><span class=\"toc-item-num\">6.5&nbsp;&nbsp;</span>RFR - RandomForestRegressor</a></span></li><li><span><a href=\"#Courbe-ROC\" data-toc-modified-id=\"Courbe-ROC-6.6\"><span class=\"toc-item-num\">6.6&nbsp;&nbsp;</span>Courbe ROC</a></span></li></ul></li><li><span><a href=\"#Autre-solution\" data-toc-modified-id=\"Autre-solution-7\"><span class=\"toc-item-num\">7&nbsp;&nbsp;</span>Autre solution</a></span><ul class=\"toc-item\"><li><span><a href=\"#fct-rm_punctuation\" data-toc-modified-id=\"fct-rm_punctuation-7.1\"><span class=\"toc-item-num\">7.1&nbsp;&nbsp;</span>fct rm_punctuation</a></span></li><li><span><a href=\"#fc-tokenize\" data-toc-modified-id=\"fc-tokenize-7.2\"><span class=\"toc-item-num\">7.2&nbsp;&nbsp;</span>fc tokenize</a></span></li><li><span><a href=\"#fct-rm_stopwords\" data-toc-modified-id=\"fct-rm_stopwords-7.3\"><span class=\"toc-item-num\">7.3&nbsp;&nbsp;</span>fct rm_stopwords</a></span></li><li><span><a href=\"#On-en-est-où\" data-toc-modified-id=\"On-en-est-où-7.4\"><span class=\"toc-item-num\">7.4&nbsp;&nbsp;</span>On en est où</a></span></li><li><span><a href=\"#nb-de-mots\" data-toc-modified-id=\"nb-de-mots-7.5\"><span class=\"toc-item-num\">7.5&nbsp;&nbsp;</span>nb de mots</a></span></li></ul></li><li><span><a href=\"#rF\" data-toc-modified-id=\"rF-8\"><span class=\"toc-item-num\">8&nbsp;&nbsp;</span>rF</a></span></li><li><span><a href=\"#Wordcloud\" data-toc-modified-id=\"Wordcloud-9\"><span class=\"toc-item-num\">9&nbsp;&nbsp;</span>Wordcloud</a></span><ul class=\"toc-item\"><li><span><a href=\"#Split-ham-spam\" data-toc-modified-id=\"Split-ham-spam-9.1\"><span class=\"toc-item-num\">9.1&nbsp;&nbsp;</span>Split ham spam</a></span></li><li><span><a href=\"#binarisation\" data-toc-modified-id=\"binarisation-9.2\"><span class=\"toc-item-num\">9.2&nbsp;&nbsp;</span>binarisation</a></span></li></ul></li></ul></div>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- Faites un nuage de mots par catégorie pour bien illustrer les différences des mots utilisés entre spam et non spam."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- À partir de la matrice de termes réduite, entraînez un modèle de forêts aléatoires permettant de prédire si un texto est un spam ou non "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- Essayez d'améliorer la prédiction de votre modèle en ajoutant une analyse en composantes principales en amont."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "On peut imaginer que pour une entreprise qui développe cette solution, on souhaite plus à minimiser l'erreur consistant à définir comme spam un texto qui n'en est pas un (erreur de type 1, \"faux positif\") plutôt que de rater quelques spams : \n",
    "- Utilisez votre dernier modèle pour prédire des probabilités que le texto soit un spam. À partir de quelle valeur de cette probabilité notre modèle ne classe aucun non spam en spam?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Import"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import re\n",
    "import string\n",
    "import pprint\n",
    "\n",
    "from sklearn.feature_extraction.text import CountVectorizer\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.feature_extraction import text\n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "from sklearn.ensemble import RandomForestRegressor\n",
    "from sklearn.metrics import confusion_matrix\n",
    "from sklearn.decomposition import PCA\n",
    "from sklearn.metrics import roc_auc_score, roc_curve, auc\n",
    "\n",
    "from wordcloud import WordCloud\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "from stop_words import get_stop_words\n",
    "\n",
    "from collections import Counter\n",
    "\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- Import de la base de données dans un dataframe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = pd.read_table('data/SMSSpamCollection.txt', header=None)\n",
    "data.columns = names=[\"label\", \"texte\"]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Exploratory Data Analysis (EDA)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>label</th>\n",
       "      <th>texte</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 ...</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 fina...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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      ],
      "text/plain": [
       "  label                                              texte\n",
       "0   ham  Go until jurong point, crazy.. Available only ...\n",
       "1   ham                      Ok lar... Joking wif u oni...\n",
       "2  spam  Free entry in 2 a wkly comp to win FA Cup fina..."
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "5572"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "label    object\n",
       "texte    object\n",
       "dtype: object"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>label</th>\n",
       "      <th>texte</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>5572</td>\n",
       "      <td>5572</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>unique</th>\n",
       "      <td>2</td>\n",
       "      <td>5169</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>4825</td>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       label                   texte\n",
       "count   5572                    5572\n",
       "unique     2                    5169\n",
       "top      ham  Sorry, I'll call later\n",
       "freq    4825                      30"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 5572 entries, 0 to 5571\n",
      "Data columns (total 2 columns):\n",
      " #   Column  Non-Null Count  Dtype \n",
      "---  ------  --------------  ----- \n",
      " 0   label   5572 non-null   object\n",
      " 1   texte   5572 non-null   object\n",
      "dtypes: object(2)\n",
      "memory usage: 87.2+ KB\n"
     ]
    }
   ],
   "source": [
    "data.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(5572, 2)"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['label', 'texte'], dtype='object')"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>col_0</th>\n",
       "      <th>count</th>\n",
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       "    <tr>\n",
       "      <th>label</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>ham</th>\n",
       "      <td>4825</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>spam</th>\n",
       "      <td>747</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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      "text/plain": [
       "col_0  count\n",
       "label       \n",
       "ham     4825\n",
       "spam     747"
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     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
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   ],
   "source": [
    "pd.crosstab(index=data[\"label\"],columns=\"count\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "```python\n",
    "sns.countplot(data)\n",
    "plt.xlabel('Label')\n",
    "plt.title('Nb')```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "  <thead>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th colspan=\"4\" halign=\"left\">texte</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th>count</th>\n",
       "      <th>unique</th>\n",
       "      <th>top</th>\n",
       "      <th>freq</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>label</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>ham</th>\n",
       "      <td>4825</td>\n",
       "      <td>4516</td>\n",
       "      <td>Sorry, I'll call later</td>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>spam</th>\n",
       "      <td>747</td>\n",
       "      <td>653</td>\n",
       "      <td>Please call our customer service representativ...</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      texte                                                               \n",
       "      count unique                                                top freq\n",
       "label                                                                     \n",
       "ham    4825   4516                             Sorry, I'll call later   30\n",
       "spam    747    653  Please call our customer service representativ...    4"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.groupby('label').describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Taille des messages"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>label</th>\n",
       "      <th>texte</th>\n",
       "      <th>length</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 ...</td>\n",
       "      <td>111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ham</td>\n",
       "      <td>Ok lar... Joking wif u oni...</td>\n",
       "      <td>29</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 fina...</td>\n",
       "      <td>155</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>49</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 aro...</td>\n",
       "      <td>61</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  label                                              texte  length\n",
       "0   ham  Go until jurong point, crazy.. Available only ...     111\n",
       "1   ham                      Ok lar... Joking wif u oni...      29\n",
       "2  spam  Free entry in 2 a wkly comp to win FA Cup fina...     155\n",
       "3   ham  U dun say so early hor... U c already then say...      49\n",
       "4   ham  Nah I don't think he goes to usf, he lives aro...      61"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['length'] = data['texte'].apply(len)\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x23776b706c8>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "data['length'].plot(bins=30,kind = 'hist')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    5572.000000\n",
       "mean       80.490309\n",
       "std        59.944527\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"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['length'].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "\"For me the love should start with attraction.i should feel that I need her every time around me.she should be the first thing which comes in my thoughts.I would start the day and end it with her.she should be there every time I dream.love will be then when my every breath has her name.my life should happen around her.my life will be named to her.I would cry for her.will give all my happiness and take all her sorrows.I will be ready to fight with anyone for her.I will be in love when I will be doing the craziest things for her.love will be when I don't have to proove anyone that my girl is the most beautiful lady on the whole planet.I will always be singing praises for her.love will be when I start up making chicken curry and end up makiing sambar.life will be the most beautiful then.will get every morning and thank god for the day because she is with me.I would like to say a lot..will tell later..\""
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[data['length'] == 910]['texte'].iloc[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>label</th>\n",
       "      <th>texte</th>\n",
       "      <th>length</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 ...</td>\n",
       "      <td>111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ham</td>\n",
       "      <td>Ok lar... Joking wif u oni...</td>\n",
       "      <td>29</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 fina...</td>\n",
       "      <td>155</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>49</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  label                                              texte  length\n",
       "0   ham  Go until jurong point, crazy.. Available only ...     111\n",
       "1   ham                      Ok lar... Joking wif u oni...      29\n",
       "2  spam  Free entry in 2 a wkly comp to win FA Cup fina...     155\n",
       "3   ham  U dun say so early hor... U c already then say...      49"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head(4)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## nettoyage"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* Transformations usuelles du texte pour faciliter l'analyse textuelle"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "#```python\n",
    "def premier_nettoyage(text):\n",
    "    text = text.lower() # passage en minuscules\n",
    "    #text = re.sub(f\"[{string.punctuation}]\", \" \", text) # on enlève la ponctuation  \n",
    "    #text = re.sub(\"[0-9]\", \"\", text) # On enlève les références au minutages\n",
    "    #text = re.sub(r\"\\xa0\", \" \", text) # caractère spécial hypertexte\n",
    "    text = re.sub(\"\\d\", \"\", text) # On enlève les chiffres\n",
    "    return text\n",
    "#```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "#```python\n",
    "data[\"clean\"] = data.texte.apply(lambda x: premier_nettoyage(x))\n",
    "#data_clean = pd.DataFrame(df_sms.texte.apply(lambda x: nettoyage(x)))\n",
    "#```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Matrice de termes"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- Faites une matrice de termes et affichez les termes les plus fréquents dans chaque catégorie : spam ou non spam. Si nécessaire, enrichissez la liste de stop-words pour limiter la taille de la matrice."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "cv = CountVectorizer(stop_words = \"english\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>spam</th>\n",
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       "      <th>spam</th>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ham</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ham</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ham</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
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       "      <td>0</td>\n",
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       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ham</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>...</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5572 rows × 7553 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       ____  aa  aah  aaniye  aaooooright  aathi  ab  abbey  abdomen  abeg  \\\n",
       "label                                                                        \n",
       "ham       0   0    0       0            0      0   0      0        0     0   \n",
       "ham       0   0    0       0            0      0   0      0        0     0   \n",
       "spam      0   0    0       0            0      0   0      0        0     0   \n",
       "ham       0   0    0       0            0      0   0      0        0     0   \n",
       "ham       0   0    0       0            0      0   0      0        0     0   \n",
       "...     ...  ..  ...     ...          ...    ...  ..    ...      ...   ...   \n",
       "spam      0   0    0       0            0      0   0      0        0     0   \n",
       "ham       0   0    0       0            0      0   0      0        0     0   \n",
       "ham       0   0    0       0            0      0   0      0        0     0   \n",
       "ham       0   0    0       0            0      0   0      0        0     0   \n",
       "ham       0   0    0       0            0      0   0      0        0     0   \n",
       "\n",
       "       ...  zhong  zindgi  zoe  zogtorius  zoom  zouk  zs  zyada  èn  〨ud  \n",
       "label  ...                                                                 \n",
       "ham    ...      0       0    0          0     0     0   0      0   0    0  \n",
       "ham    ...      0       0    0          0     0     0   0      0   0    0  \n",
       "spam   ...      0       0    0          0     0     0   0      0   0    0  \n",
       "ham    ...      0       0    0          0     0     0   0      0   0    0  \n",
       "ham    ...      0       0    0          0     0     0   0      0   0    0  \n",
       "...    ...    ...     ...  ...        ...   ...   ...  ..    ...  ..  ...  \n",
       "spam   ...      0       0    0          0     0     0   0      0   0    0  \n",
       "ham    ...      0       0    0          0     0     0   0      0   0    0  \n",
       "ham    ...      0       0    0          0     0     0   0      0   0    0  \n",
       "ham    ...      0       0    0          0     0     0   0      0   0    0  \n",
       "ham    ...      0       0    0          0     0     0   0      0   0    0  \n",
       "\n",
       "[5572 rows x 7553 columns]"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# fit_transform \n",
    "mdt = cv.fit_transform(data[\"clean\"])\n",
    "mdt_textos_all = pd.DataFrame(mdt.toarray(), columns = cv.get_feature_names())\n",
    "mdt_textos_all.index = data.label\n",
    "mdt_textos_all"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Nettoyage 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>label</th>\n",
       "      <th>ham</th>\n",
       "      <th>spam</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>____</th>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>aa</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>aah</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>aaniye</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>aaooooright</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>zouk</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>zs</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>zyada</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>èn</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>〨ud</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>7553 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "label        ham  spam\n",
       "____           2     0\n",
       "aa             1     0\n",
       "aah            3     0\n",
       "aaniye         1     0\n",
       "aaooooright    1     0\n",
       "...          ...   ...\n",
       "zouk           0     1\n",
       "zs             0     1\n",
       "zyada          1     0\n",
       "èn             1     0\n",
       "〨ud            1     0\n",
       "\n",
       "[7553 rows x 2 columns]"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sum_mots = mdt_textos_all.groupby(\"label\").sum()\n",
    "sum_mots_t = sum_mots.transpose()\n",
    "sum_mots_t"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "# On peut supprimer quand le nombre d'occurences représente moins de 1% des observations\n",
    "nb_occurences = pd.DataFrame()\n",
    "for i in [\"ham\", \"spam\"]:\n",
    "    nb_occurences[i] = sum_mots_t[i]/len(mdt_textos_all[mdt_textos_all.index == i]) \n",
    "\n",
    "part_occu_max = nb_occurences.max(axis = 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['____', 'aa', 'aah', ..., 'zyada', 'èn', '〨ud'], dtype=object)"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "additional_sw = part_occu_max[part_occu_max<=0.01].index.values\n",
    "list_sw = []\n",
    "for i in additional_sw:\n",
    "    list_sw.append(i)\n",
    "additional_sw"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Liste de stop words"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "stop_words = text.ENGLISH_STOP_WORDS.union(additional_sw)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "frozenset"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(stop_words)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "cv = CountVectorizer(stop_words = stop_words)\n",
    "# On refait la matrice de distances ainsi : \n",
    "mdt = cv.fit_transform(data[\"clean\"])\n",
    "mdt_textos = pd.DataFrame(mdt.toarray(), columns = cv.get_feature_names())\n",
    "mdt_textos.index = data.label"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "pandas.core.frame.DataFrame"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(mdt_textos)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "       ac  account  admirer  age  amp  answer  anytime  apply  area  ask  ...  \\\n",
       "label                                                                     ...   \n",
       "ham     0        0        0    0    0       0        0      0     0    0  ...   \n",
       "ham     0        0        0    0    0       0        0      0     0    0  ...   \n",
       "spam    0        0        0    0    0       0        0      1     0    0  ...   \n",
       "ham     0        0        0    0    0       0        0      0     0    0  ...   \n",
       "ham     0        0        0    0    0       0        0      0     0    0  ...   \n",
       "\n",
       "       word  work  worth  www  xmas  xxx  ya  yeah  yes  yr  \n",
       "label                                                        \n",
       "ham       0     0      0    0     0    0   0     0    0   0  \n",
       "ham       0     0      0    0     0    0   0     0    0   0  \n",
       "spam      0     0      0    0     0    0   0     0    0   0  \n",
       "ham       0     0      0    0     0    0   0     0    0   0  \n",
       "ham       0     0      0    0     0    0   0     0    0   0  \n",
       "\n",
       "[5 rows x 349 columns]"
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     "metadata": {},
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    "mdt_textos.head()"
   ]
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  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "spam = sum_mots_t[[\"spam\"]]\n",
    "non_spam = sum_mots_t[[\"ham\"]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
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      "text/plain": [
       "label   spam\n",
       "free     226\n",
       "txt      170\n",
       "ur       144\n",
       "mobile   128\n",
       "stop     126\n",
       "text     126\n",
       "claim    113\n",
       "reply    104\n",
       "www       98\n",
       "prize     93\n",
       "just      79\n",
       "cash      76\n",
       "won       76\n",
       "uk        74\n",
       "nokia     71\n",
       "send      71\n",
       "new       69\n",
       "win       65\n",
       "urgent    63\n",
       "tone      60"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "spam.sort_values(by='spam', ascending = False).head(20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>lor</th>\n",
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       "      <th>need</th>\n",
       "      <td>159</td>\n",
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       "      <th>don</th>\n",
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      "text/plain": [
       "label  ham\n",
       "gt     318\n",
       "lt     316\n",
       "just   297\n",
       "ok     288\n",
       "ll     266\n",
       "ur     247\n",
       "know   237\n",
       "good   235\n",
       "like   234\n",
       "got    234\n",
       "come   230\n",
       "day    217\n",
       "love   205\n",
       "time   202\n",
       "going  169\n",
       "want   165\n",
       "home   165\n",
       "lor    162\n",
       "need   159\n",
       "don    159"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "non_spam.sort_values(by='ham', ascending = False).head(20)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Nuage de mots"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "dict_spam_ham = {}\n",
    "for i in [\"ham\", \"spam\"]:\n",
    "    dict_spam_ham[i] = ''.join(data[\"clean\"][data.label == i])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dict"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(dict_spam_ham)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "ename": "AttributeError",
     "evalue": "'dict' object has no attribute 'head'",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-39-0168589fb42d>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mdict_spam_ham\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mhead\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;31mAttributeError\u001b[0m: 'dict' object has no attribute 'head'"
     ]
    }
   ],
   "source": [
    "dict_spam_ham"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x864 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "wc = WordCloud(stopwords=stop_words, background_color=\"white\", colormap=\"Dark2\",\n",
    "               max_font_size=150, random_state=42)\n",
    "\n",
    "wc.generate_from_frequencies(non_spam.ham)\n",
    "\n",
    "plt.imshow(wc, interpolation=\"bilinear\")\n",
    "plt.title(\"Textes non spam\")\n",
    "plt.rcParams[\"figure.figsize\"] = (12,12)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x864 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "wc.generate_from_frequencies(spam.spam)\n",
    "\n",
    "plt.imshow(wc, interpolation=\"bilinear\")\n",
    "plt.title(\"Textes spam\")\n",
    "plt.rcParams[\"figure.figsize\"] = (12,12)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Split"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(4457, 349)"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# On splite notre matrice en entraînement et test\n",
    "from sklearn.model_selection import train_test_split\n",
    "y = 1 * (mdt_textos.index == \"spam\")\n",
    "\n",
    "X_train, X_test, y_train, y_test = train_test_split(mdt_textos, y, test_size=0.2)\n",
    "X_train.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Entrainement avec randomforest"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,\n",
       "                       criterion='gini', max_depth=None, max_features='auto',\n",
       "                       max_leaf_nodes=None, max_samples=None,\n",
       "                       min_impurity_decrease=0.0, min_impurity_split=None,\n",
       "                       min_samples_leaf=1, min_samples_split=2,\n",
       "                       min_weight_fraction_leaf=0.0, n_estimators=100,\n",
       "                       n_jobs=None, oob_score=False, random_state=None,\n",
       "                       verbose=0, warm_start=False)"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# On entraîne le modèle de randomforest\n",
    "rf = RandomForestClassifier()\n",
    "rf.fit(X_train, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.9775784753363229"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rf.score(X_test, y_test)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Matrice de confusion"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Prédit non spam</th>\n",
       "      <th>Prédit spam</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Vrai non spam</th>\n",
       "      <td>961</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Vrai spam</th>\n",
       "      <td>20</td>\n",
       "      <td>129</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               Prédit non spam  Prédit spam\n",
       "Vrai non spam              961            5\n",
       "Vrai spam                   20          129"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cm = confusion_matrix(y_test, rf.predict(X_test))\n",
    "cm = pd.DataFrame(cm, columns=[\"Prédit non spam\", \"Prédit spam\"])\n",
    "cm.index = [\"Vrai non spam\", \"Vrai spam\"]\n",
    "cm"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### ACP"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "55"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# On entraîne notre ACP\n",
    "pca = PCA(0.60)\n",
    "pca.fit(X_train)\n",
    "pca.n_components_ # on affiche le nombre de composantes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [],
   "source": [
    "# on transforme nos X train et X test\n",
    "X_train_pca = pca.transform(X_train)\n",
    "X_test_pca = pca.transform(X_test)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### RFR - RandomForestRegressor"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.9802690582959641"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# On entraîne le modèle de randomforest\n",
    "rf = RandomForestClassifier()\n",
    "rf.fit(X_train_pca, y_train)\n",
    "# on affiche le score\n",
    "rf.score(X_test_pca, y_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Le nombre d'erreurs de type 1 en fonction d'un seuil de décision se fixe ainsi :  \n",
    "predictions = rf.predict_proba(X_test_pca)\n",
    "y_pred = 1 * (predictions[:, 1] > 0.80)\n",
    "erreur_type_1 = y_pred[y_test == 0].sum()\n",
    "erreur_type_1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# On fait un graphe pour voir à quel niveau on ne prédit plus un spam à tort\n",
    "proba = [i for i in range(0, 100, 1)]\n",
    "\n",
    "# On en profite pour calculer aussi les erreurs de type 2 : les faux négatifs, c'est à dire les spams prédits comme non spams\n",
    "erreur_type_1 = []\n",
    "erreur_type_2 = []\n",
    "for i in proba:\n",
    "    y_pred = 1 * (predictions[:, 1] > i/100)\n",
    "    erreur_type_1.append(y_pred[y_test == 0].sum()/(y_pred == 1).sum())\n",
    "    erreur_type_2.append(y_test[y_pred == 0].sum()/(y_pred == 0).sum())\n",
    "    \n",
    "plt.plot(proba, erreur_type_1)\n",
    "plt.xlabel(\"Proba (en %)\")\n",
    "plt.ylabel(\"Part d'erreurs de type 1\")\n",
    "plt.title(\"Part d'erreurs de type 1 en fonction du seuil de probabilités\")\n",
    "plt.hlines(y = 0, xmin = 0, xmax = 100, color = \"red\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(proba, erreur_type_2)\n",
    "plt.xlabel(\"Proba (en %)\")\n",
    "plt.ylabel(\"Part d'erreurs de type 2\")\n",
    "plt.title(\"Part d'erreurs de type 2 en fonction du seuil de probabilités\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Courbe ROC"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [],
   "source": [
    "fpr0, tpr0, thresholds0 = roc_curve(y_test, predictions[:, 1], \n",
    "                                    pos_label=rf.classes_[1], \n",
    "                                    drop_intermediate=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>taux_faux_spams</th>\n",
       "      <th>taux_vrais_spams</th>\n",
       "      <th>threshold</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.100671</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.154362</td>\n",
       "      <td>0.990000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.201342</td>\n",
       "      <td>0.980000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.248322</td>\n",
       "      <td>0.970000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.255034</td>\n",
       "      <td>0.966000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>283</th>\n",
       "      <td>0.659420</td>\n",
       "      <td>0.986577</td>\n",
       "      <td>0.000064</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>284</th>\n",
       "      <td>0.659420</td>\n",
       "      <td>0.993289</td>\n",
       "      <td>0.000052</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>285</th>\n",
       "      <td>0.661491</td>\n",
       "      <td>0.993289</td>\n",
       "      <td>0.000034</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>286</th>\n",
       "      <td>0.663561</td>\n",
       "      <td>0.993289</td>\n",
       "      <td>0.000016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>287</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>287 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     taux_faux_spams  taux_vrais_spams  threshold\n",
       "1           0.000000          0.100671   1.000000\n",
       "2           0.000000          0.154362   0.990000\n",
       "3           0.000000          0.201342   0.980000\n",
       "4           0.000000          0.248322   0.970000\n",
       "5           0.000000          0.255034   0.966000\n",
       "..               ...               ...        ...\n",
       "283         0.659420          0.986577   0.000064\n",
       "284         0.659420          0.993289   0.000052\n",
       "285         0.661491          0.993289   0.000034\n",
       "286         0.663561          0.993289   0.000016\n",
       "287         1.000000          1.000000   0.000000\n",
       "\n",
       "[287 rows x 3 columns]"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tp = pd.DataFrame(dict(taux_faux_spams=fpr0, taux_vrais_spams=tpr0, threshold=thresholds0)).copy()\n",
    "tp.drop(0, axis=0, inplace=True) #suppression du 1er seuil fixé arbitrairement à 2\n",
    "tp"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = tp.plot(x=\"threshold\", y=['taux_faux_spams', 'taux_vrais_spams'], figsize=(12,10))\n",
    "ax.set_title(\"Evolution des taux de vrai spam  et de faux spams\\n (Vrais positifs / Faux positifs)\");"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Autre solution"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### fct rm_punctuation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "def rm_punctuation(text):\n",
    "    new_text=''.join([char for char in text if char not in string.punctuation])\n",
    "    return new_text"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "data['new_text']=data['texte'].apply(lambda row : rm_punctuation(row))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### fc tokenize"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "def tokenize(text):\n",
    "    tokens=re.split('\\W+',text)\n",
    "    return tokens"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>label</th>\n",
       "      <th>texte</th>\n",
       "      <th>length</th>\n",
       "      <th>new_text</th>\n",
       "      <th>tokenized_text</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>Go until jurong point, crazy.. Available only ...</td>\n",
       "      <td>111</td>\n",
       "      <td>Go until jurong point crazy Available only in ...</td>\n",
       "      <td>[go, until, jurong, point, crazy, available, o...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0</td>\n",
       "      <td>Ok lar... Joking wif u oni...</td>\n",
       "      <td>29</td>\n",
       "      <td>Ok lar Joking wif u oni</td>\n",
       "      <td>[ok, lar, joking, wif, u, oni]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>Free entry in 2 a wkly comp to win FA Cup fina...</td>\n",
       "      <td>155</td>\n",
       "      <td>Free entry in 2 a wkly comp to win FA Cup fina...</td>\n",
       "      <td>[free, entry, in, 2, a, wkly, comp, to, win, f...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0</td>\n",
       "      <td>U dun say so early hor... U c already then say...</td>\n",
       "      <td>49</td>\n",
       "      <td>U dun say so early hor U c already then say</td>\n",
       "      <td>[u, dun, say, so, early, hor, u, c, already, t...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0</td>\n",
       "      <td>Nah I don't think he goes to usf, he lives aro...</td>\n",
       "      <td>61</td>\n",
       "      <td>Nah I dont think he goes to usf he lives aroun...</td>\n",
       "      <td>[nah, i, dont, think, he, goes, to, usf, he, l...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   label                                              texte  length  \\\n",
       "0      0  Go until jurong point, crazy.. Available only ...     111   \n",
       "1      0                      Ok lar... Joking wif u oni...      29   \n",
       "2      1  Free entry in 2 a wkly comp to win FA Cup fina...     155   \n",
       "3      0  U dun say so early hor... U c already then say...      49   \n",
       "4      0  Nah I don't think he goes to usf, he lives aro...      61   \n",
       "\n",
       "                                            new_text  \\\n",
       "0  Go until jurong point crazy Available only in ...   \n",
       "1                            Ok lar Joking wif u oni   \n",
       "2  Free entry in 2 a wkly comp to win FA Cup fina...   \n",
       "3        U dun say so early hor U c already then say   \n",
       "4  Nah I dont think he goes to usf he lives aroun...   \n",
       "\n",
       "                                      tokenized_text  \n",
       "0  [go, until, jurong, point, crazy, available, o...  \n",
       "1                     [ok, lar, joking, wif, u, oni]  \n",
       "2  [free, entry, in, 2, a, wkly, comp, to, win, f...  \n",
       "3  [u, dun, say, so, early, hor, u, c, already, t...  \n",
       "4  [nah, i, dont, think, he, goes, to, usf, he, l...  "
      ]
     },
     "execution_count": 83,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['tokenized_text']=data['new_text'].apply(lambda row : tokenize(row.lower()))\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### fct rm_stopwords"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "list"
      ]
     },
     "execution_count": 84,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "eng_stop_words = get_stop_words('english')\n",
    "#eng_stop_words\n",
    "type(eng_stop_words)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "list"
      ]
     },
     "execution_count": 85,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "STOPWORDS = eng_stop_words + ['u', 'ü', 'ur', '4', '2', 'im', 'dont', 'doin', 'ure']\n",
    "type(STOPWORDS)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {},
   "outputs": [],
   "source": [
    "def rm_stopwords(text):\n",
    "    clean_text = [word for word in text if word not in STOPWORDS]\n",
    "    return clean_text "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {},
   "outputs": [],
   "source": [
    "#data['clean_text']=data['tokenized_text'].apply(lambda row : rm_stopwords(row))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### On en est où"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "((5572, 5), pandas.core.frame.DataFrame)"
      ]
     },
     "execution_count": 88,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.shape, type(data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>label</th>\n",
       "      <th>texte</th>\n",
       "      <th>length</th>\n",
       "      <th>new_text</th>\n",
       "      <th>tokenized_text</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>Go until jurong point, crazy.. Available only ...</td>\n",
       "      <td>111</td>\n",
       "      <td>Go until jurong point crazy Available only in ...</td>\n",
       "      <td>[go, until, jurong, point, crazy, available, o...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0</td>\n",
       "      <td>Ok lar... Joking wif u oni...</td>\n",
       "      <td>29</td>\n",
       "      <td>Ok lar Joking wif u oni</td>\n",
       "      <td>[ok, lar, joking, wif, u, oni]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>Free entry in 2 a wkly comp to win FA Cup fina...</td>\n",
       "      <td>155</td>\n",
       "      <td>Free entry in 2 a wkly comp to win FA Cup fina...</td>\n",
       "      <td>[free, entry, in, 2, a, wkly, comp, to, win, f...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   label                                              texte  length  \\\n",
       "0      0  Go until jurong point, crazy.. Available only ...     111   \n",
       "1      0                      Ok lar... Joking wif u oni...      29   \n",
       "2      1  Free entry in 2 a wkly comp to win FA Cup fina...     155   \n",
       "\n",
       "                                            new_text  \\\n",
       "0  Go until jurong point crazy Available only in ...   \n",
       "1                            Ok lar Joking wif u oni   \n",
       "2  Free entry in 2 a wkly comp to win FA Cup fina...   \n",
       "\n",
       "                                      tokenized_text  \n",
       "0  [go, until, jurong, point, crazy, available, o...  \n",
       "1                     [ok, lar, joking, wif, u, oni]  \n",
       "2  [free, entry, in, 2, a, wkly, comp, to, win, f...  "
      ]
     },
     "execution_count": 89,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Go until jurong point, crazy.. Available only in bugis n great world la e buffet... Cine there got amore wat...'"
      ]
     },
     "execution_count": 97,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['texte'].iloc[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0,\n",
       "       'Go until jurong point, crazy.. Available only in bugis n great world la e buffet... Cine there got amore wat...',\n",
       "       111,\n",
       "       'Go until jurong point crazy Available only in bugis n great world la e buffet Cine there got amore wat',\n",
       "       list(['go', 'until', 'jurong', 'point', 'crazy', 'available', 'only', 'in', 'bugis', 'n', 'great', 'world', 'la', 'e', 'buffet', 'cine', 'there', 'got', 'amore', 'wat'])],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 98,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.loc[0].values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Go until jurong point, crazy.. Available only in bugis n great world la e buffet... Cine there got amore wat...'"
      ]
     },
     "execution_count": 107,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.texte.loc[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0       Go until jurong point crazy Available only in ...\n",
       "1                                 Ok lar Joking wif u oni\n",
       "2       Free entry in 2 a wkly comp to win FA Cup fina...\n",
       "3             U dun say so early hor U c already then say\n",
       "4       Nah I dont think he goes to usf he lives aroun...\n",
       "                              ...                        \n",
       "5567    This is the 2nd time we have tried 2 contact u...\n",
       "5568                  Will ü b going to esplanade fr home\n",
       "5569    Pity  was in mood for that Soany other suggest...\n",
       "5570    The guy did some bitching but I acted like id ...\n",
       "5571                            Rofl Its true to its name\n",
       "Name: new_text, Length: 5572, dtype: object"
      ]
     },
     "execution_count": 106,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.new_text"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "metadata": {},
   "outputs": [],
   "source": [
    "cv = CountVectorizer(stop_words = eng_stop_words)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "metadata": {},
   "outputs": [
    {
     "ename": "AttributeError",
     "evalue": "new_text not found",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-109-4b192a16d16d>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mdata\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mcv\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mfit_transform\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mnew_text\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m      2\u001b[0m \u001b[0mdata_dtm\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mpd\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mDataFrame\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mtoarray\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mcolumns\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mcv\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mget_feature_names\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mC:\\ProgramData\\Anaconda3\\lib\\site-packages\\scipy\\sparse\\base.py\u001b[0m in \u001b[0;36m__getattr__\u001b[1;34m(self, attr)\u001b[0m\n\u001b[0;32m    689\u001b[0m             \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mgetnnz\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    690\u001b[0m         \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 691\u001b[1;33m             \u001b[1;32mraise\u001b[0m \u001b[0mAttributeError\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mattr\u001b[0m \u001b[1;33m+\u001b[0m \u001b[1;34m\" not found\"\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    692\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    693\u001b[0m     \u001b[1;32mdef\u001b[0m \u001b[0mtranspose\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0maxes\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;32mNone\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mcopy\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;32mFalse\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mAttributeError\u001b[0m: new_text not found"
     ]
    }
   ],
   "source": [
    "data = cv.fit_transform(data.new_text)\n",
    "data_dtm = pd.DataFrame(data.toarray(), columns = cv.get_feature_names())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "data_dtm.index = data.index\n",
    "data_dtm"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### nb de mots"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "def word_count(texte):\n",
    "    frequency_list = []\n",
    "    for i in preprocessed_documents:\n",
    "        frequency_list.append(Counter(i))\n",
    "    return frequency_list"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "```python\n",
    "words = data[data.label=='ham'].clean_msg.apply(lambda x: [word.lower() for word in x.split()])\n",
    "ham_words = Counter()\n",
    "\n",
    "for msg in words:\n",
    "    ham_words.update(msg)\n",
    "    \n",
    "print(ham_words.most_common(50))```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## rF"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "metadata": {},
   "outputs": [
    {
     "ename": "IndexError",
     "evalue": "Index dimension must be <= 2",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mIndexError\u001b[0m                                Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-113-ede5f800e1c8>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m X_train, X_test, y_train, y_test = train_test_split(data['texte'], \n\u001b[0m\u001b[0;32m      2\u001b[0m                                                     \u001b[0mdata\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'label'\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      3\u001b[0m                                                     random_state=1)\n",
      "\u001b[1;32mC:\\ProgramData\\Anaconda3\\lib\\site-packages\\scipy\\sparse\\_index.py\u001b[0m in \u001b[0;36m__getitem__\u001b[1;34m(self, key)\u001b[0m\n\u001b[0;32m     33\u001b[0m     \"\"\"\n\u001b[0;32m     34\u001b[0m     \u001b[1;32mdef\u001b[0m \u001b[0m__getitem__\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mkey\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 35\u001b[1;33m         \u001b[0mrow\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mcol\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_validate_indices\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m     36\u001b[0m         \u001b[1;31m# Dispatch to specialized methods.\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     37\u001b[0m         \u001b[1;32mif\u001b[0m \u001b[0misinstance\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mrow\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mINT_TYPES\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mC:\\ProgramData\\Anaconda3\\lib\\site-packages\\scipy\\sparse\\_index.py\u001b[0m in \u001b[0;36m_validate_indices\u001b[1;34m(self, key)\u001b[0m\n\u001b[0;32m    137\u001b[0m                 \u001b[0mrow\u001b[0m \u001b[1;33m+=\u001b[0m \u001b[0mM\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    138\u001b[0m         \u001b[1;32melif\u001b[0m \u001b[1;32mnot\u001b[0m \u001b[0misinstance\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mrow\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mslice\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 139\u001b[1;33m             \u001b[0mrow\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_asindices\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mrow\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mM\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    140\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    141\u001b[0m         \u001b[1;32mif\u001b[0m \u001b[0misintlike\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mcol\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mC:\\ProgramData\\Anaconda3\\lib\\site-packages\\scipy\\sparse\\_index.py\u001b[0m in \u001b[0;36m_asindices\u001b[1;34m(self, idx, length)\u001b[0m\n\u001b[0;32m    161\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    162\u001b[0m         \u001b[1;32mif\u001b[0m \u001b[0mx\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mndim\u001b[0m \u001b[1;32mnot\u001b[0m \u001b[1;32min\u001b[0m \u001b[1;33m(\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;36m2\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 163\u001b[1;33m             \u001b[1;32mraise\u001b[0m \u001b[0mIndexError\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'Index dimension must be <= 2'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    164\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    165\u001b[0m         \u001b[1;32mif\u001b[0m \u001b[0mx\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0msize\u001b[0m \u001b[1;33m==\u001b[0m \u001b[1;36m0\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mIndexError\u001b[0m: Index dimension must be <= 2"
     ]
    }
   ],
   "source": [
    "X_train, X_test, y_train, y_test = train_test_split(data['texte'], \n",
    "                                                    data['label'], \n",
    "                                                    random_state=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Wordcloud"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Split ham spam"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\ProgramData\\Anaconda3\\lib\\site-packages\\pandas\\core\\ops\\array_ops.py:253: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  res_values = method(rvalues)\n"
     ]
    }
   ],
   "source": [
    "data_ham  = data[data['label'] == 'spam'].copy()\n",
    "data_spam = data[data['label'] == 'spam'].copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "### "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "=\"\".join(data.texte)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### binarisation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "data['label'] = data.label.map({'ham':0, 'spam':1})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(5572, 3)"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>label</th>\n",
       "      <th>texte</th>\n",
       "      <th>length</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>Go until jurong point, crazy.. Available only ...</td>\n",
       "      <td>111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0</td>\n",
       "      <td>Ok lar... Joking wif u oni...</td>\n",
       "      <td>29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</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>3</th>\n",
       "      <td>0</td>\n",
       "      <td>U dun say so early hor... U c already then say...</td>\n",
       "      <td>49</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   label                                              texte  length\n",
       "0      0  Go until jurong point, crazy.. Available only ...     111\n",
       "1      0                      Ok lar... Joking wif u oni...      29\n",
       "2      1  Free entry in 2 a wkly comp to win FA Cup fina...     155\n",
       "3      0  U dun say so early hor... U c already then say...      49"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head(4)"
   ]
  }
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