{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "cee0a836",
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import pandas as pd\n",
    "\n",
    "import string\n",
    "import re"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "id": "33a2e4e7",
   "metadata": {},
   "outputs": [],
   "source": [
    "ftr_dataset = \"/opt/tmp/src/FTR-dataset/FTR_new_labels.csv\"\n",
    "output_dir = \"../../data/processed/\"\n",
    "\n",
    "ftr_df = pd.read_csv(ftr_dataset, index_col=[0],  encoding = \"ISO-8859-1\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "85957e26",
   "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>tweet</th>\n",
       "      <th>label</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>id</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Elle ne devait pas dégager la nazi ???</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>je dois faire un oral en anglais sur Hitler et...</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>A ça 🤏 de ressembler à la croix nazi mdrr</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>\"Par curiosité, j’ai voulu écouter les dis...</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Mdr deux nazi n importe quoi 🤦🏼‍♀️</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2851</th>\n",
       "      <td>Kevin c’est un sal noir.</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2852</th>\n",
       "      <td>bougnoule bamboula sale arabe , elle est belle...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2853</th>\n",
       "      <td>Tu viens de le traiter de sal noir ?</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2854</th>\n",
       "      <td>SAL NOIR</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2855</th>\n",
       "      <td>Sal Noir</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2856 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                  tweet  label\n",
       "id                                                            \n",
       "0              Elle ne devait pas dégager la nazi ???       1\n",
       "1     je dois faire un oral en anglais sur Hitler et...      0\n",
       "2        A ça 🤏 de ressembler à la croix nazi mdrr      0\n",
       "3     \"Par curiosité, j’ai voulu écouter les dis...      0\n",
       "4        Mdr deux nazi n importe quoi 🤦🏼‍♀️      1\n",
       "...                                                 ...    ...\n",
       "2851                         Kevin c’est un sal noir.      1\n",
       "2852  bougnoule bamboula sale arabe , elle est belle...      1\n",
       "2853               Tu viens de le traiter de sal noir ?      1\n",
       "2854                                          SAL NOIR       1\n",
       "2855                                         Sal Noir        1\n",
       "\n",
       "[2856 rows x 2 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "chars = string.ascii_letters + string.punctuation + string.whitespace\n",
    "chars = chars + \"éèê\"\n",
    "\n",
    "url_pattern = r\"(http|https)\\S*\"\n",
    "user_naming_pattern = r\"@\\S*\"\n",
    "\n",
    "ftr_df.tweet = ftr_df.tweet \\\n",
    "    .apply(lambda x: re.sub(url_pattern, \"\", x)) \\\n",
    "    .apply(lambda x: re.sub(user_naming_pattern, \"\", x))\n",
    "\n",
    "ftr_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "id": "6ac2e998",
   "metadata": {},
   "outputs": [],
   "source": [
    "import re\n",
    "\n",
    "def clean_text(text):\n",
    "    \n",
    "    out = text.replace(\"é\", \"é\")\n",
    "    out = out.replace(\"ç\", \"ç\")\n",
    "    out = out.replace(\"Ã\\x87\", \"ç\")\n",
    "    out = out.replace(\"Ã\\xa0\", \"à\")\n",
    "    out = out.replace(\"î\", \"ê\")\n",
    "    out = out.replace(\"è\", \"è\")\n",
    "    out = out.replace(\"’\", \"'\")\n",
    "    out = out.replace('Ã\\x8a', \"ê\")\n",
    "    out = out.replace('Ã\\x89', \"é\")\n",
    "    out = out.replace(\"Å\\x93\", \"oe\")\n",
    "    out = out.replace(\"ô\", \"ô\")\n",
    "    \n",
    "    \n",
    "    out = out.replace(\"ê\", \"\")\n",
    "    out = out.replace(\"\\n\", \"\")\n",
    "    out = out.replace(\"\\\\'\", \"\")\n",
    "    \n",
    "    # Smileys\n",
    "    out = out.replace(\"â\\x9c\\x8b\", \"\")\n",
    "    out = out.replace(\"â\\x9c\\x8b\", \"\")\n",
    "    out = out.replace(\"\\x8f\", \"\")\n",
    "    out = out.replace(\"â\\x9c\\x8a\", \"\")\n",
    "    out = out.replace(\"â\\x80\\x9d\", \"\")\n",
    "    out = out.replace(\"«Â\\xa0\", \"\")\n",
    "    out = out.replace(\"\\x85\", \"\")\n",
    "    \n",
    "    # Smileys\n",
    "    out = re.sub(\"ð([^\\s]+)\", \"\", out)\n",
    "    out = re.sub(\"â([^\\s]+)\", \"\", out)\n",
    "    \n",
    "    return out\n",
    "\n",
    "ftr_df[\"tweet_clean\"] = ftr_df.tweet.apply(clean_text)\n",
    "\n",
    "ftr_df.loc[ftr_df.label == 1].to_csv(os.path.join(output_dir, \"ftr_dataset_positive.csv\"))\n",
    "ftr_df.loc[ftr_df.label == 0].to_csv(os.path.join(output_dir, \"ftr_dataset_negative.csv\"))"
   ]
  }
 ],
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   "display_name": "sexism_detection",
   "language": "python",
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