Text_Embedding.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Text Embedding\n",
    "## Discover Node Information\n",
    "Install Natural Language Processing ToolKit"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Collecting nltk\n",
      "  Using cached https://files.pythonhosted.org/packages/f6/1d/d925cfb4f324ede997f6d47bea4d9babba51b49e87a767c170b77005889d/nltk-3.4.5.zip\n",
      "Requirement already satisfied: six in /usr/local/lib/python3.7/site-packages (from nltk) (1.13.0)\n",
      "Building wheels for collected packages: nltk\n",
      "  Building wheel for nltk (setup.py) ... \u001b[?25ldone\n",
      "\u001b[?25h  Created wheel for nltk: filename=nltk-3.4.5-cp37-none-any.whl size=1449908 sha256=5f0cc01c1f6db924735ab7ddfa633fe0bdaa9075063b3884bdb15208d22e3053\n",
      "  Stored in directory: /Users/aubrydandoque/Library/Caches/pip/wheels/96/86/f6/68ab24c23f207c0077381a5e3904b2815136b879538a24b483\n",
      "Successfully built nltk\n",
      "Installing collected packages: nltk\n",
      "Successfully installed nltk-3.4.5\n"
     ]
    }
   ],
   "source": [
    "!pip3 install nltk"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Getting Stopwords"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[nltk_data] Downloading package stopwords to\n",
      "[nltk_data]     /Users/aubrydandoque/nltk_data...\n",
      "[nltk_data]   Package stopwords is already up-to-date!\n"
     ]
    }
   ],
   "source": [
    "import string\n",
    "import nltk\n",
    "nltk.download('stopwords')\n",
    "from nltk.corpus import stopwords\n",
    "from nltk.stem.snowball import SnowballStemmer\n",
    "from nltk.stem.wordnet import WordNetLemmatizer\n",
    "import json\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Download pre-generated list of common words and words root dictionnary"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let import the data in a dict to access it"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [],
   "source": [
    "from joblib import Parallel, delayed\n",
    "import multiprocessing\n",
    "import os\n",
    "\n",
    "#set path to the data directory\n",
    "directory = os.fsencode('./data/node_information/text')\n",
    "\n",
    "#Highest index of node we want to precess\n",
    "max_node = 1000\n",
    "\n",
    "node_info = {}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "ename": "KeyboardInterrupt",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-28-d9551821c16f>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m     11\u001b[0m             \u001b[0;32mfor\u001b[0m \u001b[0mline\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mcur_file\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     12\u001b[0m                 \u001b[0mdata\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mline\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mreplace\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'\\n'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m''\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 13\u001b[0;31m                 \u001b[0mnode_info\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mfilename\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m-\u001b[0m\u001b[0;36m4\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m+=\u001b[0m \u001b[0mdata\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;31mKeyboardInterrupt\u001b[0m: "
     ]
    }
   ],
   "source": [
    "# Sequential computation if wanted but longer\n",
    "\n",
    "#for file in os.listdir(directory):\n",
    "#     filename = os.fsdecode(file)\n",
    "#     if filename.endswith(\".txt\") :\n",
    "#         with open('./data/node_information/text/'+filename, 'r', encoding='utf-8', errors='ignore') as cur_file:\n",
    "#            node_info[filename[:-4]] = ''' '''\n",
    "#            for line in cur_file:\n",
    "#                data = line.replace('\\n', '')\n",
    "#                node_info[filename[:-4]] += data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "def processFile(file):\n",
    "    ### write an entry on node_info as node_nb : text where node info is the title of the doc\n",
    "        \n",
    "    filename = os.fsdecode(file)\n",
    "    if filename.endswith(\".txt\") and int(filename[:-4]) < max_node :\n",
    "         with open('./data/node_information/text/'+filename, 'r', encoding='utf-8', errors='ignore') as cur_file:\n",
    "            node_info[filename[:-4]] = ''' '''\n",
    "            for line in cur_file:\n",
    "                data = line.replace('\\n', '')\n",
    "                node_info[filename[:-4]] += data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Get number of available CPU on computer\n",
    "num_cores = multiprocessing.cpu_count()\n",
    "print(\"%s cores available, going to use %s for parallel computation\" %[num_cores, num_cores-1])\n",
    "#Run parallel computation with joblib\n",
    "Parallel(n_jobs = -2, require='sharedmem')(delayed(processFile)(file) for file in os.listdir(directory))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Print node_info to json\n",
    "with open('./data/node_information/node_info.json', 'w') as file:\n",
    "    json.dump(node_info, file)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [],
   "source": [
    "tokenizer = nltk.RegexpTokenizer(r'\\w+')\n",
    "# ew dict for tokenized form\n",
    "node_info_tokenized = {}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "def tokenize_dict(node):\n",
    "    node_info_tokenized[node] = tokenizer.tokenize(node_info[node])\n",
    "    \n",
    "Parallel(n_jobs = -2, require='sharedmem')(delayed(tokenize_dic)(node) for node in node_info)\n",
    "\n",
    "with open('./data/node_information/node_info_token.json', 'w') as file:\n",
    "    json.dump(node_info_tokenized, file)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Bag of words\n",
    "Text embedding as a dictionnary and occurence count\n",
    "https://www.datacamp.com/community/tutorials/text-analytics-beginners-nltk"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# load data from file"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['alternate', 'alternate', 'wa', 'pj', 's', '559638', 's2', 'p', 'home', 'stc', 'idsite', 'idclient', 'Raison', 'sociale', 'Raison', 'sociale', 'Raison', 'sociale', 'Raison', 'sociale', 'Compétences', 'Divorce', 'Séparation', 'Droit', 'de', 'la', 'famille', 'Droit', 'du', 'travail', 'Droit', 'immobilier', 'Droit', 'pénal', 'Permis', 'de', 'conduire', 'Préjudice', 'corporel', 'Honoraires', 'Cabinet', 'de', 'Barr', 'Cabinet', 'de', 'Strasbourg', 'contact', '____________________', 'Submit', 'Un', 'ENJEU', 'une', 'PASSION', 'vous', 'DÉFENDRE', 'Maître', 'Grégory', 'Engel', 'vous', 'assiste', 'et', 'vous', 'représente', 'Prendre', 'rendez', 'vousMaître', 'Grégory', 'Engel', 'avocat', 'généraliste', 'à', 'Strasbourg', 'et', 'à', 'Barr', 'Depuis', 'plus', 'de', '15', 'ans', 'Maître', 'Grégory', 'Engel', 'Avocat', 'vous', 'conseille', 'pour', 'la', 'négociation', 'amiable', 'engage', 'vos', 'procédures', 'et', 'assure', 'la', 'défense', 'de', 'vos', 'droits', 'à', 'Strasbourg', 'à', 'Barr', 'et', 'dans', 'toute', 'la', 'France', 'En', 'tant', 'qu', 'avocat', 'généraliste', 'il', 'intervient', 'dans', 'de', 'nombreux', 'domaines', 'du', 'droit', 'notamment', 'en', 'matière', 'de', 'divorce', 'et', 'de', 'droit', 'de', 'la', 'famille', 'de', 'droit', 'du', 'travail', 'et', 'de', 'droit', 'immobilier', 'Il', 'assure', 'également', 'votre', 'défense', 'pour', 'la', 'réparation', 'des', 'préjudices', 'corporels', 'suite', 'à', 'un', 'accident', 'et', 'il', 'vous', 'représente', 'dans', 'le', 'cadre', 'du', 'contentieux', 'du', 'permis', 'de', 'conduire', 'Divorce', 'Séparation', 'Droit', 'de', 'la', 'famille', 'Droit', 'du', 'travail', 'Droit', 'de', 'l', 'immobilier', 'Droit', 'pénal', 'Permis', 'de', 'conduire', 'Préjudice', 'corporel', 'Demander', 'conseilRencontrez', 'Maître', 'Engel', 'dans', 'son', 'cabinet', 'd', 'avocat', 'de', 'Strasbourg', 'ou', 'dans', 'celuide', 'Barr', 'Maître', 'Grégory', 'Engel', 'avocat', 'généraliste', 'au', 'Barreau', 'de', 'Strasbourg', 'vous', 'représente', 'aussi', 'bien', 'dans', 'le', 'Bas', 'Rhin', 'que', 'devant', 'toutes', 'les', 'cours', 'et', 'tous', 'les', 'tribunaux', 'compétents', 'en', 'France', 'Il', 'dispose', 'de', 'deux', 'cabinets', 'd', 'avocat', 'l', 'un', 'à', 'Strasbourg', 'et', 'le', 'second', 'à', 'Barr', 'et', 'vous', 'reçoit', 'sur', 'rendez', 'vous', 'à', 'l', 'une', 'de', 'ses', 'deux', 'adresses', 'à', 'votre', 'convenance', 'Maître', 'Engel', 'traite', 'personnellement', 'chaque', 'dossier', 'et', 'se', 'montre', 'disponible', 'et', 'réactif', 'Il', 'met', 'tout', 'en', 'œuvre', 'pour', 'mener', 'à', 'bien', 'vos', 'procédures', 'amiables', 'pré', 'contentieuses', 'ou', 'contentieuses', 'dans', 'le', 'respect', 'des', 'règles', 'déontologiques', 'de', 'son', 'métier', 'd', 'avocat', 'Prendre', 'rendez', 'vous', 'Disponibilité', 'Discrétion', 'Expertise', 'Indépendance', 'Les', 'principaux', 'domaines', 'de', 'compétences', 'de', 'Maître', 'Grégory', 'EngelDivorce', 'Maître', 'Grégory', 'Engel', 'possède', 'une', 'solide', 'expérience', 'en', 'matière', 'de', 'divorce', 'Si', 'la', 'séparation', 'est', 'toujours', 'un', 'cap', 'difficile', 'à', 'franchir', 'les', 'causes', 'les', 'enjeux', 'et', 'les', 'conséquences', 'sont', 'de', 'natures', 'différentes', 'Vous', 'trouverez', 'auprès', 'de', 'Grégory', 'Engel', 'les', 'conseils', 'dont', 'vous', 'avez', 'besoin', 'afin', 'de', 'choisir', 'la', 'meilleure', 'procédure', 'ainsi', 'que', 'l', 'expertise', 'nécessaire', 'pour', 'la', 'défense', 'de', 'vos', 'intérêts', 'En', 'savoir', 'plusDroit', 'de', 'la', 'famille', 'Outre', 'le', 'divorce', 'et', 'la', 'séparation', 'Maître', 'Engel', 'traite', 'toute', 'affaire', 'liée', 'au', 'droit', 'de', 'la', 'famille', 'des', 'personnes', 'et', 'de', 'leur', 'patrimoine', 'Questions', 'relatives', 'à', 'la', 'filiation', 'contestation', 'd', 'héritage', 'besoin', 'd', 'être', 'assisté', 'lors', 'd', 'un', 'règlement', 'de', 'succession', 'ou', 'mise', 'sous', 'tutelle', 'd', 'un', 'proche', 'le', 'droit', 'de', 'la', 'famille', 'regroupe', 'de', 'nombreux', 'sujets', 'auxquels', 'chacun', 'peut', 'être', 'confronté', 'au', 'cours', 'de', 'sa', 'vie', 'En', 'savoir', 'plusDroit', 'du', 'travail', 'Vous', 'estimez', 'avoir', 'été', 'victime', 'd', 'un', 'licenciement', 'abusif', 'ou', 'vous', 'avez', 'un', 'litige', 'avec', 'votre', 'employeur', 'En', 'tant', 'que', 'chef', 'd', 'entreprise', 'vous', 'êtes', 'assigné', 'aux', 'prud', 'hommes', 'Que', 'vous', 'soyez', 'employé', 'ou', 'employeur', 'votre', 'avocat', 'Maître', 'Grégory', 'Engel', 'possède', 'les', 'compétences', 'nécessaires', 'en', 'droit', 'du', 'travail', 'lui', 'permettant', 'de', 'vous', 'écouter', 'vous', 'renseigner', 'et', 'de', 'mener', 'la', 'procédure', 'adéquate', 'En', 'savoir', 'plusDroit', 'immobilier', 'Si', 'vous', 'êtes', 'bailleur', 'et', 'que', 'vous', 'avez', 'des', 'soucis', 'de', 'loyers', 'impayés', 'ou', 'si', 'vous', 'êtes', 'locataire', 'et', 'que', 'votre', 'logement', 'présente', 'des', 'signes', 'd', 'insalubrité', 'adressez', 'vous', 'à', 'Maître', 'Engel', 'Litiges', 'entre', 'propriétaires', 'et', 'locataires', 'problèmes', 'de', 'voisinage', 'Il', 'vous', 'assiste', 'dans', 'vos', 'démarches', 'et', 'vous', 'représente', 'pour', 'faire', 'valoir', 'vos', 'droits', 'En', 'savoir', 'plus', 'Contacter', 'Maître', 'Engel', '2', 'cabinets', 'proches', 'de', 'vous', 'Cabinet', 'principal', '27', 'rue', 'Boecklin', '67000', 'Strasbourg', 'Cabinet', 'secondaire', '11', 'A', 'rue', 'de', 'la', 'Kirneck', '67140', 'Barr', '03', '88', '35', '35', '00', 'Fax', '03', '88', '24', '43', '68', 'Suivez', 'nous', 'Logo', 'facebook', 'Logo', 'twitter', 'Divorce', 'séparation', 'Droit', 'de', 'la', 'famille', 'Droit', 'du', 'travail', 'Droit', 'immobilier', 'Droit', 'pénal', 'Permis', 'de', 'conduire', 'Préjudice', 'corporel', '2019', 'Mentions', 'légales', 'Protection', 'de', 'la', 'vie', 'privée', 'Cookies', 'Réalisé', 'par', 'Solocal', 'A', 'quoi', 'servent', 'nos', 'cookies', 'COOKIES', 'STRICTEMENT', 'NÉCESSAIRES', 'À', 'L', 'UTILISATION', 'DU', 'SERVICE', 'DEMANDÉ', 'Ils', 'permettent', 'l', 'utilisation', 'des', 'principales', 'fonctionnalités', 'du', 'site', 'comme', 'le', 'cas', 'échéant', 'l', 'accès', 'à', 'votre', 'compte', 'personnel', 'ou', 'encore', 'de', 'mémoriser', 'les', 'préférences', 'd', 'affichage', 'de', 'votre', 'terminal', 'langue', 'paramètres', 'd', 'affichage', 'et', 'd', 'en', 'tenir', 'compte', 'lors', 'de', 'vos', 'visites', 'selon', 'la', 'charte', 'graphique', 'et', 'les', 'logiciels', 'de', 'visualisation', 'ou', 'de', 'lecture', 'de', 'votre', 'terminal', 'Ils', 'nous', 'permettent', 'aussi', 'de', 'lier', 'entre', 'elles', 'les', 'différentes', 'pages', 'consultées', 'pour', 'vous', 'assurer', 'une', 'navigation', 'fluide', 'ou', 'encore', 'd', 'afficher', 'des', 'cartes', 'interactives', 'Pour', 'paramétrer', 'Vous', 'pouvez', 'désactiver', 'complètement', 'les', 'cookies', 'dans', 'votre', 'navigateur', 'Dans', 'ce', 'cas', 'notre', 'site', 'ne', 'fonctionnera', 'plus', 'normalement', 'mais', 'vous', 'pourrez', 'quand', 'même', 'effectuer', 'des', 'actions', 'basiques', '1', 'Si', 'vous', 'utilisez', 'le', 'navigateur', 'Internet', 'Explorer', 'Dans', 'Internet', 'Explorer', 'cliquez', 'sur', 'le', 'bouton', 'Outils', 'puis', 'sur', 'Options', 'Internet', 'Sous', 'l', 'onglet', 'Confidentialité', 'déplacez', 'le', 'curseur', 'vers', 'le', 'haut', 'pour', 'bloquer', 'tous', 'les', 'cookies', 'ou', 'vers', 'le', 'bas', 'pour', 'autoriser', 'tous', 'les', 'cookies', 'puis', 'cliquez', 'sur', 'OK', '2', 'Si', 'vous', 'utilisez', 'le', 'navigateur', 'Firefox', 'Allez', 'dans', 'le', 'menu', 'Outils', 'du', 'navigateur', 'puis', 'sélectionnez', 'le', 'menu', 'Options', 'Cliquez', 'sur', 'l', 'onglet', 'vie', 'privée', 'décochez', 'la', 'case', 'Accepter', 'les', 'cookies', 'puis', 'cliquez', 'sur', 'OK', '3', 'Si', 'vous', 'utilisez', 'le', 'navigateur', 'Safari', 'Dans', 'votre', 'navigateur', 'choisissez', 'le', 'menu', 'Édition', 'puis', 'sélectionnez', 'Préférences', 'Cliquez', 'sur', 'Confidentialité', 'Positionnez', 'le', 'réglage', 'Bloquer', 'les', 'cookies', 'sur', 'Toujours', 'puis', 'cliquez', 'sur', 'OK', '4', 'Si', 'vous', 'utilisez', 'le', 'navigateur', 'Google', 'Chrome', 'Cliquez', 'sur', 'le', 'menu', 'Chrome', 'dans', 'la', 'barre', 'd', 'outils', 'du', 'navigateur', 'Sélectionnez', 'Paramètres', 'Cliquez', 'sur', 'Afficher', 'les', 'paramètres', 'avancés', 'Dans', 'la', 'section', 'Confidentialité', 'cliquez', 'sur', 'le', 'bouton', 'Paramètres', 'de', 'contenu', 'Dans', 'la', 'section', 'Cookies', 'sélectionnez', 'Interdire', 'à', 'tous', 'les', 'sites', 'de', 'stocker', 'des', 'données', 'et', 'cochez', 'la', 'case', 'Bloquer', 'les', 'cookies', 'et', 'les', 'données', 'de', 'site', 'tiers', 'puis', 'cliquez', 'sur', 'OK', 'COOKIES', 'DE', 'MESURE', 'D', 'AUDIENCE', 'ET', 'DE', 'STATISTIQUES', 'Ils', 'nous', 'permettent', 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'Internet', 'Explorer', 'cliquez', 'sur', 'le', 'bouton', 'Outils', 'puis', 'sur', 'Options', 'Internet', 'Sous', 'l', 'onglet', 'Confidentialité', 'déplacez', 'le', 'curseur', 'vers', 'le', 'haut', 'pour', 'bloquer', 'tous', 'les', 'cookies', 'ou', 'vers', 'le', 'bas', 'pour', 'autoriser', 'tous', 'les', 'cookies', 'puis', 'cliquez', 'sur', 'OK', '2', 'Si', 'vous', 'utilisez', 'le', 'navigateur', 'Firefox', 'Allez', 'dans', 'le', 'menu', 'Outils', 'du', 'navigateur', 'puis', 'sélectionnez', 'le', 'menu', 'Options', 'Cliquez', 'sur', 'l', 'onglet', 'vie', 'privée', 'décochez', 'la', 'case', 'Accepter', 'les', 'cookies', 'puis', 'cliquez', 'sur', 'OK', '3', 'Si', 'vous', 'utilisez', 'le', 'navigateur', 'Safari', 'Dans', 'votre', 'navigateur', 'choisissez', 'le', 'menu', 'Édition', 'puis', 'sélectionnez', 'Préférences', 'Cliquez', 'sur', 'Confidentialité', 'Positionnez', 'le', 'réglage', 'Bloquer', 'les', 'cookies', 'sur', 'Toujours', 'puis', 'cliquez', 'sur', 'OK', '4', 'Si', 'vous', 'utilisez', 'le', 'navigateur', 'Google', 'Chrome', 'Cliquez', 'sur', 'le', 'menu', 'Chrome', 'dans', 'la', 'barre', 'd', 'outils', 'du', 'navigateur', 'Sélectionnez', 'Paramètres', 'Cliquez', 'sur', 'Afficher', 'les', 'paramètres', 'avancés', 'Dans', 'la', 'section', 'Confidentialité', 'cliquez', 'sur', 'le', 'bouton', 'Paramètres', 'de', 'contenu', 'Dans', 'la', 'section', 'Cookies', 'sélectionnez', 'Interdire', 'à', 'tous', 'les', 'sites', 'de', 'stocker', 'des', 'données', 'et', 'cochez', 'la', 'case', 'Bloquer', 'les', 'cookies', 'et', 'les', 'données', 'de', 'site', 'tiers', 'puis', 'cliquez', 'sur', 'OK', 'COOKIES', 'DE', 'MESURE', 'D', 'AUDIENCE', 'ET', 'DE', 'STATISTIQUES', 'Ils', 'nous', 'permettent', 'de', 'faire', 'vivre', 'le', 'site', 'et', 'd', 'établir', 'des', 'statistiques', 'et', 'comptages', 'de', 'fréquentation', 'et', 'd', 'utilisation', 'de', 'ses', 'rubriques', 'et', 'contenus', 'pour', 'réaliser', 'des', 'études', 'afin', 'd', 'améliorer', 'le', 'contenu', 'mesure', 'du', 'nombre', 'de', 'visites', 'de', 'pages', 'vues', 'ou', 'encore', 'de', 'l', 'activité', 'des', 'visiteurs', 'sur', 'le', 'site', 'et', 'de', 'leur', 'fréquence', 'de', 'retour', 'Ils', 'nous', 'permettent', 'également', 'd', 'analyser', 'la', 'navigation', 'des', 'internautes', 'afin', 'd', 'améliorer', 'notre', 'service', 'ou', 'de', 'détecter', 'des', 'dysfonctionnements', 'Pour', 'paramétrer', 'Vous', 'pouvez', 'choisir', 'd', 'activer', 'ou', 'désactiver', 'les', 'cookies', 'de', 'notre', 'outil', 'de', 'mesure', 'd', 'audience', 'AT', 'Internet', 'en', 'cliquant', 'ici', 'J', 'accepte', 'le', 'dépôt', 'de', 'cookies', 'à', 'des', 'fins', 'de', 'mesure', 'd', 'audience', 'Je', 'n', 'accepte', 'pas', 'le', 'dépôt', 'de', 'cookies', 'à', 'des', 'fins', 'de', 'mesure', 'd', 'audience', 'LES', 'COOKIES', 'TIERS', 'Lorsque', 'vous', 'accédez', 'à', 'notre', 'site', 'un', 'ou', 'plusieurs', 'cookies', 'de', 'sociétés', 'partenaires', 'cookies', 'tiers', 'sont', 'susceptibles', 'd', 'être', 'placés', 'dans', 'votre', 'terminal', 'Nous', 'veillons', 'à', 'ce', 'que', 'les', 'sociétés', 'partenaires', 'acceptent', 'de', 'traiter', 'les', 'informations', 'collectées', 'sur', 'nos', 'sites', 'dans', 'le', 'respect', 'de', 'la', 'réglementation', 'applicable', 'et', 's', 'engagent', 'à', 'mettre', 'en', 'œuvre', 'des', 'mesures', 'appropriées', 'de', 'sécurisation', 'et', 'de', 'protection', 'de', 'la', 'confidentialité', 'des', 'données', 'COOKIES', 'LIES', 'A', 'LA', 'VIDEO', 'Pour', 'le', 'visionnage', 'de', 'vidéos', 'nous', 'proposons', 'sur', 'ce', 'site', 'un', 'lecteur', 'dont', 'l', 'utilisation', 'entraîne', 'le', 'dépôt', 'de', 'cookies', 'nécessaires', 'à', 'son', 'bon', 'fonctionnement', 'Pour', 'paramétrer', 'Vous', 'pouvez', 'choisir', 'd', 'accepter', 'ou', 'de', 'vous', 'opposer', 'au', 'dépôt', 'de', 'cookies', 'vidéo', 'J', 'accepte', 'le', 'dépôt', 'de', 'cookies', 'pour', 'le', 'visionnage', 'de', 'vidéos', 'Je', 'n', 'accepte', 'pas', 'le', 'dépôt', 'de', 'cookies', 'pour', 'le', 'visionnage', 'de', 'vidéos', 'COOKIES', 'PUBLICITAIRES', 'DE', 'SOCIÉTÉS', 'PARTENAIRES', 'Ces', 'cookies', 'tiers', 'ont', 'pour', 'finalité', 'd', 'identifier', 'vos', 'centres', 'd', 'intérêt', 'au', 'travers', 'des', 'produits', 'consultés', 'sur', 'notre', 'site', 'et', 'de', 'collecter', 'des', 'données', 'de', 'navigation', 'afin', 'de', 'personnaliser', 'l', 'offre', 'publicitaire', 'qui', 'vous', 'est', 'adressée', 'en', 'dehors', 'de', 'nos', 'sites', 'Ils', 'sont', 'susceptibles', 'd', 'être', 'placés', 'dans', 'votre', 'terminal', 'afin', 'd', 'identifier', 'vos', 'centres', 'd', 'intérêt', 'au', 'travers', 'des', 'produits', 'consultés', 'sur', 'notre', 'site', 'et', 'de', 'collecter', 'des', 'données', 'de', 'navigation', 'afin', 'de', 'personnaliser', 'l', 'offre', 'publicitaire', 'qui', 'vous', 'est', 'adressée', 'sur', 'et', 'en', 'dehors', 'de', 'nos', 'sites', 'Pour', 'paramétrer', 'J', 'accepte', 'le', 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'site', 'adform', 'com', 'privacy', 'policy', 'en', 'La', 'CNIL', 'propose', 'par', 'ailleurs', 'sur', 'son', 'site', 'à', 'l', 'adresse', 'http', 'www', 'cnil', 'fr', 'vos', 'droits', 'vos', 'traces', 'les', 'cookies', 'conseils', 'aux', 'inter', 'nautes', 'un', 'large', 'panel', 'd', 'outils', 'permettant', 'de', 'limiter', 'la', 'traçabilité', 'de', 'votre', 'navigation', 'sur', 'Internet', 'extensions', 'pour', 'votre', 'navigateur', 'permettant', 'de', 'bloquer', 'les', 'traceurs', 'les', 'boutons', 'de', 'partage', 'sur', 'les', 'réseaux', 'sociaux', 'le', 'chargement', 'de', 'ressources', 'en', 'provenance', 'd', 'autres', 'sites', 'BUTTON', 'Valider', 'BUTTON', 'Fermer', 'Nous', 'utilisons', 'des', 'cookies', 'pour', 'améliorer', 'votre', 'expérience', 'Si', 'vous', 'souhaitez', 'continuer', 'votre', 'navigation', 'sur', 'ce', 'site', 'nous', 'considérons', 'que', 'vous', 'êtes', 'd', 'accord', 'avec', 'cet', 'usage', 'J', 'accepte', 'tout', 'Personnaliser']\n"
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      "    #alternate alternate   [wa.pj?s=559638&s2=&p=home&stc={idsite:'',idclient:''}]   Raison sociale Raison sociale Raison sociale Raison sociale     * Compétences          + Divorce/Séparation          + Droit de la famille          + Droit du travail          + Droit immobilier          + Droit pénal          + Permis de conduire          + Préjudice corporel     * Honoraires     * Cabinet de Barr     * Cabinet de Strasbourg     * contact   ____________________ Submit   « Un ENJEU, une PASSION,   vous DÉFENDRE »   Maître Grégory Engel   vous assiste et vous représente   Prendre rendez-vousMaître Grégory Engel, avocat généraliste à Strasbourg et à Barr   Depuis plus de 15 ans, Maître Grégory Engel, Avocat, vous conseille   pour la négociation amiable, engage vos procédures et assure la défense   de vos droits, à Strasbourg, à Barr et dans toute la France.   En tant qu’avocat généraliste, il intervient dans de nombreux domaines   du droit, notamment en matière de divorce   et de droit de la famille, de droit du travail et de droit immobilier.   Il assure également votre défense pour la réparation des préjudices   corporels suite à un accident   et il vous représente dans le cadre du contentieux du permis de   conduire.   Divorce / Séparation   Droit de la famille   Droit du travail   Droit de l'immobilier   Droit pénal   Permis de conduire   Préjudice-corporel   Demander conseilRencontrez Maître Engel dans son cabinet d'avocat de Strasbourg ou dans celuide Barr   Maître Grégory Engel, avocat généraliste au Barreau de Strasbourg, vous   représente aussi bien dans le Bas-Rhin que devant toutes les cours et   tous les tribunaux compétents en France.   Il dispose de deux cabinets d’avocat, l’un à Strasbourg et le second à   Barr, et vous reçoit sur rendez-vous à l’une de ses deux adresses, à   votre convenance.   Maître Engel traite personnellement chaque dossier et se montre   disponible et réactif. Il met tout en œuvre pour mener à bien vos   procédures amiables, pré-contentieuses ou contentieuses, dans le   respect des règles déontologiques de son métier d’avocat.   Prendre rendez-vous   Disponibilité   Discrétion   Expertise   Indépendance   Les principaux domaines de compétences   de Maître Grégory EngelDivorce   Maître Grégory Engel possède une solide expérience en matière de   divorce. Si la séparation est toujours un cap difficile à franchir, les   causes, les enjeux et les conséquences sont de natures différentes.   Vous trouverez auprès de Grégory Engel les conseils dont vous avez   besoin afin de choisir la meilleure procédure, ainsi que l’expertise   nécessaire pour la défense de vos intérêts   En savoir plusDroit de la famille   Outre le divorce et la séparation, Maître Engel traite toute affaire   liée au droit de la famille, des personnes et de leur patrimoine.   Questions relatives à la filiation, contestation d’héritage, besoin   d’être assisté lors d’un règlement de succession, ou mise sous tutelle   d’un proche, le droit de la famille regroupe de nombreux sujets   auxquels chacun peut être confronté au cours de sa vie.   En savoir plusDroit du travail   Vous estimez avoir été victime d’un licenciement abusif ou vous avez un   litige avec votre employeur ? En tant que chef d’entreprise vous êtes   assigné aux prud’hommes ? Que vous soyez employé ou employeur, votre   avocat Maître Grégory Engel possède les compétences nécessaires en   droit du travail, lui permettant de vous écouter, vous renseigner et de   mener la procédure adéquate.   En savoir plusDroit immobilier   Si vous êtes bailleur et que vous avez des soucis de loyers impayés ou   si vous êtes locataire et que votre logement présente des signes   d’insalubrité, adressez-vous à Maître Engel.   Litiges entre propriétaires et locataires, problèmes de voisinage… Il   vous assiste dans vos démarches et vous représente pour faire valoir   vos droits.   En savoir plus   Contacter Maître Engel   2 cabinets proches de vous   Cabinet principal   27 rue Boecklin   67000 Strasbourg   Cabinet secondaire   11 A rue de la Kirneck   67140 Barr   03 88 35 35 00   Fax : 03 88 24 43 68   Suivez-nous   Logo facebook   Logo twitter   Divorce séparation   Droit de la famille   Droit du travail   Droit immobilier   Droit pénal   Permis de conduire   Préjudice corporel   © 2019 - Mentions légales - Protection de la vie privée - Cookies -   Réalisé par Solocal   A quoi servent nos cookies ? COOKIES STRICTEMENT NÉCESSAIRES À   L’UTILISATION DU SERVICE DEMANDÉ.   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Dans ce cas notre site ne fonctionnera plus normalement mais vous   pourrez quand même effectuer des actions basiques.   1/ Si vous utilisez le navigateur Internet Explorer     * Dans Internet Explorer, cliquez sur le bouton « Outils », puis sur       « Options Internet ».     * Sous l’onglet Confidentialité déplacez le curseur vers le haut pour       bloquer tous les cookies ou vers le bas pour autoriser tous les       cookies, puis cliquez sur OK.   2/ Si vous utilisez le navigateur Firefox     * Allez dans le menu « Outils » du navigateur puis sélectionnez le       menu « Options »     * Cliquez sur l’onglet « vie privée », décochez la case « Accepter       les cookies » puis cliquez sur OK.   3/ Si vous utilisez le navigateur Safari     * Dans votre navigateur, choisissez le menu « Édition » puis       sélectionnez « Préférences ».     * Cliquez sur « Confidentialité ».     * Positionnez le réglage « Bloquer les cookies » sur « Toujours »       puis cliquez sur OK.   4/ Si vous utilisez le navigateur Google Chrome     * Cliquez sur le menu Chrome dans la barre d’outils du navigateur.     * Sélectionnez « Paramètres ».     * Cliquez sur « Afficher les paramètres avancés ».     * Dans la section « Confidentialité », cliquez sur le bouton «       Paramètres de contenu ».     * Dans la section « Cookies », sélectionnez « Interdire à tous les       sites de stocker des données » et cochez la case « Bloquer les       cookies et les données de site tiers », puis cliquez sur OK.   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J’accepte le dépôt de cookies à des fins de mesure d’audience (*)   Je n’accepte pas le dépôt de cookies à des fins de mesure d’audience   ( )   LES COOKIES TIERS   Lorsque vous accédez à notre site, un ou plusieurs cookies de sociétés   partenaires (« cookies tiers ») sont susceptibles d’être placés dans   votre terminal.   Nous veillons à ce que les sociétés partenaires acceptent de traiter   les informations collectées sur nos sites dans le respect de la   réglementation applicable et s’engagent à mettre en œuvre des mesures   appropriées de sécurisation et de protection de la confidentialité des   données.   COOKIES LIES A LA VIDEO   Pour le visionnage de vidéos, nous proposons sur ce site un lecteur   dont l’utilisation entraîne le dépôt de cookies nécessaires à son bon   fonctionnement.   Pour paramétrer :   Vous pouvez choisir d’accepter ou de vous opposer au dépôt de cookies   vidéo :   J’accepte le dépôt de cookies pour le visionnage de vidéos (*)   Je n’accepte pas le dépôt de cookies pour le visionnage de vidéos ( )   COOKIES PUBLICITAIRES DE SOCIÉTÉS PARTENAIRES.   Ces cookies tiers ont pour finalité d’identifier vos centres d’intérêt   au travers des produits consultés sur notre site et de collecter des   données de navigation afin de personnaliser l’offre publicitaire qui   vous est adressée en dehors de nos sites.   Ils sont susceptibles d’être placés dans votre terminal, afin   d’identifier vos centres d’intérêt au travers des produits consultés   sur notre site et de collecter des données de navigation afin de   personnaliser l’offre publicitaire qui vous est adressée sur et en   dehors de nos sites. :   Pour paramétrer :   J’accepte le dépôt de cookies et autres traceurs par nos partenaires à   des fins publicitaires (*)   Je n’accepte pas le dépôt de cookies et autres traceurs par nos   partenaires à des fins publicitaires ( )   Vous pouvez vous opposer à l’usage de vos données de navigation par les   partenaires suivants :     * Digital to Store https://client.adhslx.com/privacy.html     * AppNexus       https://www.appnexus.com/fr/corporate-privacy-policy#choices     * EXelate http://exelate.com/privacy/opt-in-opt-out/     * Adadvisor http://www.adadvisor.net/optout.html     * Xaxis       http://www.pagesjaunes.fr/plusdeservices/infosite/viePrivee.do     * Aggregate Knowledge       http://www.aggregateknowledge.com/privacy/ak-optout/     * The Trade Desk http://www.adsrvr.org/     * Adform http://site.adform.com/privacy-policy/en/   La CNIL propose par ailleurs sur son site à l’adresse   http://www.cnil.fr/vos-droits/vos-traces/les-cookies/conseils-aux-inter   nautes un large panel d’outils permettant de limiter la traçabilité de   votre navigation sur Internet : extensions pour votre navigateur   permettant de bloquer les traceurs, les boutons de partage sur les   réseaux sociaux, le chargement de ressources en provenance d’autres   sites…   (BUTTON) Valider (BUTTON) Fermer    Nous utilisons des cookies pour améliorer votre expérience. Si vous   souhaitez continuer votre navigation sur ce site, nous considérons que                     vous êtes d'accord avec cet usage.                        J'accepte tout Personnaliser   [wa.pj?s=559638&s2=&p=&stc={idsite:'',idclient:''}]   Raison sociale Raison sociale Raison sociale Raison sociale     * Compétences          + Divorce/Séparation          + Droit de la famille          + Droit du travail          + Droit immobilier          + Droit pénal          + Permis de conduire          + Préjudice corporel     * Honoraires     * Cabinet de Barr     * Cabinet de Strasbourg     * contact   ____________________ Submit0 résultats trouvés pour: {search_term_string}Ooops...No results found for: {search_term_string}   2 cabinets proches de vous   Cabinet principal   27 rue Boecklin   67000 Strasbourg   Cabinet secondaire   11 A rue de la Kirneck   67140 Barr   03 88 35 35 00   Fax : 03 88 24 43 68   Suivez-nous   Logo facebook   Logo twitter   Divorce séparation   Droit de la famille   Droit du travail   Droit immobilier   Droit pénal   Permis de conduire   Préjudice corporel   © 2019 - Mentions légales - Protection de la vie privée - Cookies -   Réalisé par Solocal   A quoi servent nos cookies ? 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Ils sont susceptibles d’être placés dans votre terminal, afin   d’identifier vos centres d’intérêt au travers des produits consultés   sur notre site et de collecter des données de navigation afin de   personnaliser l’offre publicitaire qui vous est adressée sur et en   dehors de nos sites. :   Pour paramétrer :   J’accepte le dépôt de cookies et autres traceurs par nos partenaires à   des fins publicitaires (*)   Je n’accepte pas le dépôt de cookies et autres traceurs par nos   partenaires à des fins publicitaires ( )   Vous pouvez vous opposer à l’usage de vos données de navigation par les   partenaires suivants :     * Digital to Store https://client.adhslx.com/privacy.html     * AppNexus       https://www.appnexus.com/fr/corporate-privacy-policy#choices     * EXelate http://exelate.com/privacy/opt-in-opt-out/     * Adadvisor http://www.adadvisor.net/optout.html     * Xaxis       http://www.pagesjaunes.fr/plusdeservices/infosite/viePrivee.do     * Aggregate Knowledge       http://www.aggregateknowledge.com/privacy/ak-optout/     * The Trade Desk http://www.adsrvr.org/     * Adform http://site.adform.com/privacy-policy/en/   La CNIL propose par ailleurs sur son site à l’adresse   http://www.cnil.fr/vos-droits/vos-traces/les-cookies/conseils-aux-inter   nautes un large panel d’outils permettant de limiter la traçabilité de   votre navigation sur Internet : extensions pour votre navigateur   permettant de bloquer les traceurs, les boutons de partage sur les   réseaux sociaux, le chargement de ressources en provenance d’autres   sites…   (BUTTON) Valider (BUTTON) Fermer    Nous utilisons des cookies pour améliorer votre expérience. Si vous   souhaitez continuer votre navigation sur ce site, nous considérons que                     vous êtes d'accord avec cet usage.                        J'accepte tout Personnaliser   #alternate alternate   [wa.pj?s=559638&s2=&p=avocat-barr&stc={idsite:'',idclient:''}]   Raison sociale Raison sociale Raison sociale Raison sociale     * Compétences          + Divorce/Séparation          + Droit de la famille          + Droit du travail          + Droit immobilier          + Droit pénal          + Permis de conduire          + Préjudice corporel     * Honoraires     * Cabinet de Barr     * Cabinet de Strasbourg     * contact   ____________________ Submit   Cabinet de Barr   Maître Grégory Engel   vous assiste et vous représente   Prendre rendez-vousCabinet d'avocat à Barr   Vous avez besoin d’un avocat à Barr ? Maitre Engel, avocat généraliste   est à votre disposition.   Le cabinet Engel conseille et prend en charge des affaires de permis de   conduire et de la famille, des affaires de préjudice corporel et de   droit pénal… Et ce depuis 15 ans.   Son intervention vous garantit une prise en charge expérimentée,   professionnelle et personnalisée.   Prendre rendez-vousDivorce   Le cabinet Engel a accumulé au fil des années une grande expérience   pour la gestion des affaires de divorces et de séparation à Strasbourg   et à Barr. Maitre Engel a su développer des qualités essentielles à la   prise en charge de ces dossiers, à savoir humanité, tact, et subtilité.   Demander conseilDroit de la famille   Maitre Engel jouit d’une expérience importante en droit de la famille.   Les affaires relevant de ce type de droit requièrent souvent une   certaine délicatesse. Chez cabinet Engel, nous vous assistons dans vos   affaires de changement de régime matrimonial, aux affaires relatives à   l’héritage, la succession, le droit des enfants…   Contacter Maître EngelDroit du travail   Le droit de travail joue un rôle assez important dans notre vie   quotidienne, celui-ci se révèle souvent très alambiqué.   Maitre Engel Grégory vous accompagne et vous représente pour toute   affaire relative à un licenciement abusif, un harcèlement… Le cabinet   Engel est également apte à vous fournir conseil et représentation pour   votre procédure de saisine des prud’hommes.Droit immobilier   Dans le cadre du droit immobilier, les litiges sont très fréquents.   Litiges entre voisins, entre propriétaires, bailleurs, locataires.   Maitre Engel Grégory, avocat généraliste a su faire preuve de   professionnalisme tout au long de ses 15 ans de pratique du droit   immobilier. Son expertise et ses connaissances vous seront précieuses   pour la résolution de vos contentieux.   Prendre rendez-vous   2 cabinets proches de vous   Cabinet principal   27 rue Boecklin   67000 Strasbourg   Cabinet secondaire   11 A rue de la Kirneck   67140 Barr   03 88 35 35 00   Fax : 03 88 24 43 68   Suivez-nous   Logo facebook   Logo twitter   Divorce séparation   Droit de la famille   Droit du travail   Droit immobilier   Droit pénal   Permis de conduire   Préjudice corporel   © 2019 - Mentions légales - Protection de la vie privée - Cookies -   Réalisé par Solocal   A quoi servent nos cookies ? COOKIES STRICTEMENT NÉCESSAIRES À   L’UTILISATION DU SERVICE DEMANDÉ.   Ils permettent l’utilisation des principales fonctionnalités du site,   comme le cas échéant l’accès à votre compte personnel, ou encore de   mémoriser les préférences d'affichage de votre terminal (langue,   paramètres d'affichage) et d'en tenir compte lors de vos visites, selon   la charte graphique et les logiciels de visualisation ou de lecture de   votre terminal. Ils nous permettent aussi de lier entre elles les   différentes pages consultées pour vous assurer une navigation fluide ou   encore d’afficher des cartes interactives.   Pour paramétrer :   Vous pouvez désactiver complètement les cookies dans votre navigateur.   Dans ce cas notre site ne fonctionnera plus normalement mais vous   pourrez quand même effectuer des actions basiques.   1/ Si vous utilisez le navigateur Internet Explorer     * Dans Internet Explorer, cliquez sur le bouton « Outils », puis sur       « Options Internet ».     * Sous l’onglet Confidentialité déplacez le curseur vers le haut pour       bloquer tous les cookies ou vers le bas pour autoriser tous les       cookies, puis cliquez sur OK.   2/ Si vous utilisez le navigateur Firefox     * Allez dans le menu « Outils » du navigateur puis sélectionnez le       menu « Options »     * Cliquez sur l’onglet « vie privée », décochez la case « Accepter       les cookies » puis cliquez sur OK.   3/ Si vous utilisez le navigateur Safari     * Dans votre navigateur, choisissez le menu « Édition » puis       sélectionnez « Préférences ».     * Cliquez sur « Confidentialité ».     * Positionnez le réglage « Bloquer les cookies » sur « Toujours »       puis cliquez sur OK.   4/ Si vous utilisez le navigateur Google Chrome     * Cliquez sur le menu Chrome dans la barre d’outils du navigateur.     * Sélectionnez « Paramètres ».     * Cliquez sur « Afficher les paramètres avancés ».     * Dans la section « Confidentialité », cliquez sur le bouton «       Paramètres de contenu ».     * Dans la section « Cookies », sélectionnez « Interdire à tous les       sites de stocker des données » et cochez la case « Bloquer les       cookies et les données de site tiers », puis cliquez sur OK.   COOKIES DE MESURE D’AUDIENCE ET DE STATISTIQUES.   Ils nous permettent de faire vivre le site et d’établir des   statistiques et comptages de fréquentation et d'utilisation de ses   rubriques et contenus, pour réaliser des études afin d’améliorer le   contenu (mesure du nombre de visites, de pages vues ou encore de   l'activité des visiteurs sur le site et de leur fréquence de retour).   Ils nous permettent également d’analyser la navigation des internautes   afin d’améliorer notre service ou de détecter des dysfonctionnements.   Pour paramétrer :   Vous pouvez choisir d’activer ou désactiver les cookies de notre outil   de mesure d’audience AT Internet en cliquant ici .   J’accepte le dépôt de cookies à des fins de mesure d’audience (*)   Je n’accepte pas le dépôt de cookies à des fins de mesure d’audience   ( )   LES COOKIES TIERS   Lorsque vous accédez à notre site, un ou plusieurs cookies de sociétés   partenaires (« cookies tiers ») sont susceptibles d’être placés dans   votre terminal.   Nous veillons à ce que les sociétés partenaires acceptent de traiter   les informations collectées sur nos sites dans le respect de la   réglementation applicable et s’engagent à mettre en œuvre des mesures   appropriées de sécurisation et de protection de la confidentialité des   données.   COOKIES LIES A LA VIDEO   Pour le visionnage de vidéos, nous proposons sur ce site un lecteur   dont l’utilisation entraîne le dépôt de cookies nécessaires à son bon   fonctionnement.   Pour paramétrer :   Vous pouvez choisir d’accepter ou de vous opposer au dépôt de cookies   vidéo :   J’accepte le dépôt de cookies pour le visionnage de vidéos (*)   Je n’accepte pas le dépôt de cookies pour le visionnage de vidéos ( )   COOKIES PUBLICITAIRES DE SOCIÉTÉS PARTENAIRES.   Ces cookies tiers ont pour finalité d’identifier vos centres d’intérêt   au travers des produits consultés sur notre site et de collecter des   données de navigation afin de personnaliser l’offre publicitaire qui   vous est adressée en dehors de nos sites.   Ils sont susceptibles d’être placés dans votre terminal, afin   d’identifier vos centres d’intérêt au travers des produits consultés   sur notre site et de collecter des données de navigation afin de   personnaliser l’offre publicitaire qui vous est adressée sur et en   dehors de nos sites. :   Pour paramétrer :   J’accepte le dépôt de cookies et autres traceurs par nos partenaires à   des fins publicitaires (*)   Je n’accepte pas le dépôt de cookies et autres traceurs par nos   partenaires à des fins publicitaires ( )   Vous pouvez vous opposer à l’usage de vos données de navigation par les   partenaires suivants :     * Digital to Store https://client.adhslx.com/privacy.html     * AppNexus       https://www.appnexus.com/fr/corporate-privacy-policy#choices     * EXelate http://exelate.com/privacy/opt-in-opt-out/     * Adadvisor http://www.adadvisor.net/optout.html     * Xaxis       http://www.pagesjaunes.fr/plusdeservices/infosite/viePrivee.do     * Aggregate Knowledge       http://www.aggregateknowledge.com/privacy/ak-optout/     * The Trade Desk http://www.adsrvr.org/     * Adform http://site.adform.com/privacy-policy/en/   La CNIL propose par ailleurs sur son site à l’adresse   http://www.cnil.fr/vos-droits/vos-traces/les-cookies/conseils-aux-inter   nautes un large panel d’outils permettant de limiter la traçabilité de   votre navigation sur Internet : extensions pour votre navigateur   permettant de bloquer les traceurs, les boutons de partage sur les   réseaux sociaux, le chargement de ressources en provenance d’autres   sites…   (BUTTON) Valider (BUTTON) Fermer    Nous utilisons des cookies pour améliorer votre expérience. Si vous   souhaitez continuer votre navigation sur ce site, nous considérons que                     vous êtes d'accord avec cet usage.                        J'accepte tout Personnaliser\n"
     ]
    }
   ],
   "source": [
    "with open('./data/computed/node_info_token.json', 'r') as f:\n",
    "    node_info_tokenized = json.load(f)\n",
    "node_info_tokenized = {int(k):v for k,v in node_info_tokenized.items()}\n",
    "print(node_info_tokenized[1])\n",
    "\n",
    "with open('./data/computed/node_info.json', 'r') as f:\n",
    "    node_info = json.load(f)\n",
    "node_info = {int(k):v for k,v in node_info.items()}\n",
    "print(node_info[1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<FreqDist with 685 samples and 3918 outcomes>\n"
     ]
    }
   ],
   "source": [
    "## Bag of word for each node or for all the nodes at once ?\n",
    "from nltk.probability import FreqDist\n",
    "\n",
    "#counting word frequency in text\n",
    "fdist = FreqDist(node_info_tokenized[1])\n",
    "fdist2 = FreqDist(node_info_tokenized[2])\n",
    "\n",
    "print(fdist)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Use bag of word to plot most commin words, fix a limit of useless common words and remove them from bag of words"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "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"
    },
    {
     "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": [
    "fdist.plot(30,cumulative=False)\n",
    "fdist2.plot(30,cumulative=False)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Remark : None of the 30 most recurent words give context to the page. Need to remove stop words"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "10 most used french words\n",
      "['au', 'aux', 'avec', 'ce', 'ces', 'dans', 'de', 'des', 'du', 'elle']\n"
     ]
    }
   ],
   "source": [
    "stop_words = stopwords.words('french')\n",
    "print(\"10 most used french words\")\n",
    "print(stop_words[0:10])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "10 most used french words\n",
      "['au', 'aux', 'avec', 'ce', 'ces', 'dans', 'de', 'des', 'du', 'elle']\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "[None,\n",
       " None,\n",
       " None,\n",
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       " None,\n",
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       " None,\n",
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       " None,\n",
       " None,\n",
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       " None,\n",
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       " None,\n",
       " None,\n",
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       " None,\n",
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       " None,\n",
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       " None,\n",
       " None,\n",
       " None,\n",
       " None,\n",
       " None,\n",
       " None,\n",
       " None,\n",
       " None,\n",
       " None,\n",
       " None,\n",
       " None,\n",
       " None,\n",
       " None,\n",
       " None,\n",
       " None,\n",
       " None,\n",
       " None,\n",
       " None,\n",
       " None,\n",
       " None,\n",
       " None,\n",
       " None,\n",
       " None,\n",
       " None,\n",
       " None,\n",
       " None,\n",
       " None,\n",
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       " None,\n",
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       " None,\n",
       " None,\n",
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       " None,\n",
       " None,\n",
       " None,\n",
       " None,\n",
       " None,\n",
       " None,\n",
       " None,\n",
       " None,\n",
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       " None,\n",
       " None,\n",
       " None,\n",
       " None]"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "node_info_filtered = {}\n",
    "\n",
    "def remove_stopwords(node):\n",
    "    node_info_filtered[node] = []\n",
    "    for w in node_info_tokenized[node]:\n",
    "        if w not in stop_words:\n",
    "            node_info_filtered[node].append(w)\n",
    "    \n",
    "Parallel(n_jobs = -2, require='sharedmem')(delayed(remove_stopwords)(node) for node in node_info_tokenized)\n",
    "\n",
    "#remove_stopwords(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "with open('./data/node_information/node_info_filtereder.json', 'w') as file:\n",
    "    json.dump(node_info_filtered, file)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "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": [
    "fdist = FreqDist(node_info_filtered[1])\n",
    "fdist.plot(30,cumulative=False)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Remark : we now see that some words appear multiple times with differents typo. Need to Normalize the lexicon (Lemmization and Stemming)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Linguistic root of 'aimer'\n",
      "aim\n"
     ]
    },
    {
     "data": {
      "text/plain": [
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       " None,\n",
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       " None,\n",
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       " None,\n",
       " None,\n",
       " None,\n",
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       " None,\n",
       " None,\n",
       " None,\n",
       " None,\n",
       " None,\n",
       " None,\n",
       " None,\n",
       " None,\n",
       " None,\n",
       " None,\n",
       " None,\n",
       " None,\n",
       " None,\n",
       " None,\n",
       " None,\n",
       " None,\n",
       " None,\n",
       " None,\n",
       " None,\n",
       " None,\n",
       " None,\n",
       " None,\n",
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       " None,\n",
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       " None,\n",
       " None,\n",
       " None,\n",
       " None,\n",
       " None]"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sno = SnowballStemmer('french')\n",
    "print(\"Linguistic root of \\'aimer\\'\")\n",
    "print(sno.stem('aimer'))\n",
    "\n",
    "node_info_snl = {}\n",
    "\n",
    "def stemming_lemming(node):\n",
    "    node_info_snl[node] = []\n",
    "    for w in node_info_filtered[node]:\n",
    "        node_info_snl[node].append(sno.stem(w))\n",
    "    \n",
    "Parallel(n_jobs = -2, require='sharedmem')(delayed(stemming_lemming)(node) for node in node_info_filtered)\n",
    "\n",
    "#stemming_lemming(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "with open('./data/node_information/node_info_snl.json', 'w') as file:\n",
    "    json.dump(node_info_snl, file)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "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": [
    "fdist = FreqDist(node_info_snl[999])\n",
    "fdist.plot(30,cumulative=False)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "metadata": {},
   "outputs": [
    {
     "ename": "KeyboardInterrupt",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-100-462f554ba757>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m     10\u001b[0m             \u001b[0mdict_full\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mw\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     11\u001b[0m \u001b[0;31m#build_voca(1)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 12\u001b[0;31m \u001b[0mParallel\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mn_jobs\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m-\u001b[0m\u001b[0;36m2\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mrequire\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'sharedmem'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdelayed\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mbuild_voca\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnode\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mnode\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mnode_info_snl\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;32m/usr/local/lib/python3.7/site-packages/joblib/parallel.py\u001b[0m in \u001b[0;36m__call__\u001b[0;34m(self, iterable)\u001b[0m\n\u001b[1;32m   1014\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1015\u001b[0m             \u001b[0;32mwith\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_backend\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mretrieval_context\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1016\u001b[0;31m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mretrieve\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1017\u001b[0m             \u001b[0;31m# Make sure that we get a last message telling us we are done\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1018\u001b[0m             \u001b[0melapsed_time\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtime\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtime\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m-\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_start_time\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/usr/local/lib/python3.7/site-packages/joblib/parallel.py\u001b[0m in \u001b[0;36mretrieve\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    906\u001b[0m             \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    907\u001b[0m                 \u001b[0;32mif\u001b[0m \u001b[0mgetattr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_backend\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'supports_timeout'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;32mFalse\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 908\u001b[0;31m                     \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_output\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mextend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mjob\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtimeout\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtimeout\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    909\u001b[0m                 \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    910\u001b[0m                     \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_output\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mextend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mjob\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/usr/local/Cellar/python/3.7.5/Frameworks/Python.framework/Versions/3.7/lib/python3.7/multiprocessing/pool.py\u001b[0m in \u001b[0;36mget\u001b[0;34m(self, timeout)\u001b[0m\n\u001b[1;32m    649\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    650\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mget\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtimeout\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 651\u001b[0;31m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mwait\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtimeout\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    652\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mready\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    653\u001b[0m             \u001b[0;32mraise\u001b[0m \u001b[0mTimeoutError\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/usr/local/Cellar/python/3.7.5/Frameworks/Python.framework/Versions/3.7/lib/python3.7/multiprocessing/pool.py\u001b[0m in \u001b[0;36mwait\u001b[0;34m(self, timeout)\u001b[0m\n\u001b[1;32m    646\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    647\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mwait\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtimeout\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 648\u001b[0;31m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_event\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mwait\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtimeout\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    649\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    650\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mget\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtimeout\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/usr/local/Cellar/python/3.7.5/Frameworks/Python.framework/Versions/3.7/lib/python3.7/threading.py\u001b[0m in \u001b[0;36mwait\u001b[0;34m(self, timeout)\u001b[0m\n\u001b[1;32m    550\u001b[0m             \u001b[0msignaled\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_flag\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    551\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0msignaled\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 552\u001b[0;31m                 \u001b[0msignaled\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_cond\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mwait\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtimeout\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    553\u001b[0m             \u001b[0;32mreturn\u001b[0m \u001b[0msignaled\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    554\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/usr/local/Cellar/python/3.7.5/Frameworks/Python.framework/Versions/3.7/lib/python3.7/threading.py\u001b[0m in \u001b[0;36mwait\u001b[0;34m(self, timeout)\u001b[0m\n\u001b[1;32m    294\u001b[0m         \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m    \u001b[0;31m# restore state no matter what (e.g., KeyboardInterrupt)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    295\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0mtimeout\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 296\u001b[0;31m                 \u001b[0mwaiter\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0macquire\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    297\u001b[0m                 \u001b[0mgotit\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mTrue\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    298\u001b[0m             \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mKeyboardInterrupt\u001b[0m: "
     ]
    }
   ],
   "source": [
    "#cv = CountVectorizer(lowercase=True,stop_words='english',ngram_range = (1,1),tokenizer = token.tokenize)\n",
    "#text_counts= cv.fit_transform(data['Phrase'])\n",
    "\n",
    "import pandas as pd \n",
    "\n",
    "dict_full = []\n",
    "def build_voca(node):\n",
    "    for w in node_info_snl[node]:\n",
    "        if w not in dict_full:\n",
    "            dict_full.append(w)\n",
    "#build_voca(1)          \n",
    "Parallel(n_jobs = -2, require='sharedmem')(delayed(build_voca)(node) for node in node_info_snl)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {},
   "outputs": [],
   "source": [
    "with open('./data/node_information/dict.json', 'w') as file:\n",
    "    json.dump(dict_full, file)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['alternat', 'wa', 'pj', '559638', 's2', 'p', 'hom', 'stc', 'idsit', 'idclient', 'raison', 'social', 'compétent', 'divorc', 'sépar', 'droit', 'famill', 'travail', 'immobili', 'pénal', 'perm', 'conduir', 'préjudic', 'corporel', 'honorair', 'cabinet', 'barr', 'strasbourg', 'contact', '____________________', 'subm', 'un', 'enjeu', 'passion', 'défendr', 'maîtr', 'grégory', 'engel', 'assist', 'représent', 'prendr', 'rend', 'vousmaîtr', 'avocat', 'général', 'depuis', 'plus', '15', 'an', 'conseil', 'négoci', 'amiabl', 'engag', 'procédur', 'assur', 'défens', 'tout', 'franc', 'en', 'tant', 'intervient', 'nombreux', 'domain', 'not', 'mati', 'il', 'égal', 'répar', 'suit', 'accident', 'cadr', 'contenti', 'demand', 'conseilrencontr', 'celuid', 'barreau', 'auss', 'bien', 'bas', 'rhin', 'dev', 'cour', 'tous', 'tribunal', 'dispos', 'deux', 'second', 'reçoit', 'adress', 'conven', 'trait', 'personnel', 'chaqu', 'dossi', 'montr', 'disponibl', 'réactif', 'met', 'œuvr', 'men', 'pré', 'respect', 'regl', 'déontolog', 'méti', 'disponibil', 'discret', 'expertis', 'indépend', 'le', 'principal', 'engeldivorc', 'possed', 'solid', 'expérient', 'si', 'toujour', 'cap', 'difficil', 'franch', 'caus', 'enjeux', 'conséquent', 'natur', 'différent', 'vous', 'trouv', 'aupres', 'dont', 'besoin', 'afin', 'chois', 'meilleur', 'ains', 'nécessair', 'intérêt', 'savoir', 'plusdroit', 'outr', 'affair', 'li', 'person', 'patrimoin', 'question', 'relat', 'filiat', 'contest', 'héritag', 'être', 'lor', 'success', 'mis', 'sous', 'tutel', 'proch', 'regroup', 'sujet', 'auxquel', 'chacun', 'peut', 'confront', 'vi', 'estim', 'avoir', 'victim', 'licenci', 'abus', 'litig', 'employeur', 'chef', 'entrepris', 'assign', 'prud', 'homm', 'que', 'emploi', 'permet', 'écout', 'renseign', 'adéquat', 'bailleur', 'souc', 'loyer', 'impai', 'locatair', 'log', 'présent', 'sign', 'insalubr', 'entre', 'propriétair', 'problem', 'voisinag', 'démarch', 'fair', 'valoir', '2', '27', 'ru', 'boecklin', '67000', 'secondair', '11', 'a', 'kirneck', '67140', '03', '88', '35', '00', 'fax', '24', '43', '68', 'suiv', 'logo', 'facebook', 'twitt', '2019', 'mention', 'légal', 'protect', 'priv', 'cook', 'réalis', 'solocal', 'quoi', 'servent', 'strict', 'à', 'l', 'utilis', 'du', 'servic', 'permettent', 'fonctionnal', 'sit', 'comm', 'cas', 'éché', 'acces', 'compt', 'encor', 'mémoris', 'préférent', 'affichag', 'terminal', 'langu', 'parametr', 'ten', 'visit', 'selon', 'chart', 'graphiqu', 'logiciel', 'visualis', 'lectur', 'elle', 'pag', 'consult', 'navig', 'fluid', 'affich', 'cart', 'interact', 'pour', 'pouv', 'désactiv', 'complet', 'dan', 'fonction', 'normal', 'pourr', 'quand', 'effectu', 'action', 'basiqu', '1', 'internet', 'explor', 'cliqu', 'bouton', 'outil', 'puis', 'option', 'onglet', 'confidential', 'déplac', 'curseur', 'ver', 'haut', 'bloqu', 'autoris', 'ok', 'firefox', 'allez', 'menu', 'sélection', 'décoch', 'accept', '3', 'safar', 'édit', 'position', 'réglag', '4', 'googl', 'chrom', 'avanc', 'section', 'contenu', 'interdir', 'stock', 'don', 'coch', 'tier', 'de', 'mesur', 'd', 'audienc', 'et', 'statist', 'vivr', 'établ', 'comptag', 'fréquent', 'rubriqu', 'contenus', 'étud', 'amélior', 'nombr', 'vu', 'activ', 'visiteur', 'fréquenc', 'retour', 'analys', 'internaut', 'détect', 'dysfonction', 'at', 'ici', 'j', 'dépôt', 'fin', 'je', 'lorsqu', 'acced', 'plusieur', 'societ', 'partenair', 'susceptibl', 'plac', 'nous', 'veillon', 'acceptent', 'inform', 'collect', 'réglement', 'applic', 'engagent', 'mettr', 'appropri', 'sécuris', 'la', 'video', 'visionnag', 'vidéos', 'proposon', 'lecteur', 'entraîn', 'bon', 'oppos', 'vidéo', 'publicitair', 'ce', 'final', 'identifi', 'centr', 'traver', 'produit', 'personnalis', 'offre', 'dehor', 'autr', 'traceur', 'usag', 'digital', 'to', 'stor', 'http', 'client', 'adhslx', 'com', 'privacy', 'html', 'appnexus', 'www', 'fr', 'corporat', 'policy', 'choic', 'exelat', 'opt', 'in', 'out', 'adadvisor', 'net', 'optout', 'xax', 'pagesjaun', 'plusdeservic', 'infosit', 'vieprive', 'do', 'aggregat', 'knowledg', 'aggregateknowledg', 'ak', 'the', 'trad', 'desk', 'adsrvr', 'org', 'adform', 'cnil', 'propos', 'ailleur', 'trac', 'inter', 'naut', 'larg', 'panel', 'limit', 'traçabl', 'extens', 'partag', 'réseau', 'charg', 'ressourc', 'proven', 'button', 'valid', 'ferm', 'utilison', 'souhait', 'continu', 'considéron', 'accord', 'cet', 'submit0', 'résultat', 'search_term_string', 'ooop', 'no', 'result', 'found', 'for', 'vouscabinet', 'maitr', 'disposit', 'prend', 'son', 'intervent', 'garant', 'pris', 'expériment', 'professionnel', 'vousdivorc', 'accumul', 'fil', 'anné', 'grand', 'gestion', 'su', 'développ', 'qualit', 'essentiel', 'human', 'tact', 'subtil', 'conseildroit', 'jou', 'import', 'relev', 'typ', 'requi', 'souvent', 'certain', 'délicatess', 'chez', 'assiston', 'chang', 'régim', 'matrimonial', 'enfant', 'engeldroit', 'rôl', 'assez', 'quotidien', 'celui', 'ci', 'rével', 'tres', 'alambiqu', 'accompagn', 'harcel', 'apte', 'fourn', 'saisin', 'voisin', 'preuv', 'professionnal', 'long', 'pratiqu', 'connaiss', 'précieux', 'résolu']\n"
     ]
    }
   ],
   "source": [
    "print(dict_full)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "metadata": {},
   "outputs": [
    {
     "ename": "ValueError",
     "evalue": "'looking' is not in list",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-99-523d1e37f2d9>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      6\u001b[0m     \u001b[0mbow\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mnode\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mbow\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mnode\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtolist\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      7\u001b[0m \u001b[0;31m#build_bag(1)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 8\u001b[0;31m \u001b[0mParallel\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mn_jobs\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m-\u001b[0m\u001b[0;36m2\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mrequire\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'sharedmem'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdelayed\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mbuild_bag\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnode\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mnode\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mnode_info_snl\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;32m/usr/local/lib/python3.7/site-packages/joblib/parallel.py\u001b[0m in \u001b[0;36m__call__\u001b[0;34m(self, iterable)\u001b[0m\n\u001b[1;32m   1014\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1015\u001b[0m             \u001b[0;32mwith\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_backend\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mretrieval_context\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1016\u001b[0;31m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mretrieve\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1017\u001b[0m             \u001b[0;31m# Make sure that we get a last message telling us we are done\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1018\u001b[0m             \u001b[0melapsed_time\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtime\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtime\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m-\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_start_time\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/usr/local/lib/python3.7/site-packages/joblib/parallel.py\u001b[0m in \u001b[0;36mretrieve\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    906\u001b[0m             \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    907\u001b[0m                 \u001b[0;32mif\u001b[0m \u001b[0mgetattr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_backend\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'supports_timeout'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;32mFalse\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 908\u001b[0;31m                     \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_output\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mextend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mjob\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtimeout\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtimeout\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    909\u001b[0m                 \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    910\u001b[0m                     \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_output\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mextend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mjob\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/usr/local/Cellar/python/3.7.5/Frameworks/Python.framework/Versions/3.7/lib/python3.7/multiprocessing/pool.py\u001b[0m in \u001b[0;36mget\u001b[0;34m(self, timeout)\u001b[0m\n\u001b[1;32m    655\u001b[0m             \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_value\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    656\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 657\u001b[0;31m             \u001b[0;32mraise\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_value\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    658\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    659\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m_set\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mi\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mobj\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/usr/local/Cellar/python/3.7.5/Frameworks/Python.framework/Versions/3.7/lib/python3.7/multiprocessing/pool.py\u001b[0m in \u001b[0;36mworker\u001b[0;34m(inqueue, outqueue, initializer, initargs, maxtasks, wrap_exception)\u001b[0m\n\u001b[1;32m    119\u001b[0m         \u001b[0mjob\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mi\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfunc\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkwds\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtask\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    120\u001b[0m         \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 121\u001b[0;31m             \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfunc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwds\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    122\u001b[0m         \u001b[0;32mexcept\u001b[0m \u001b[0mException\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    123\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0mwrap_exception\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mfunc\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0m_helper_reraises_exception\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py\u001b[0m in \u001b[0;36m__call__\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m    598\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m__call__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    599\u001b[0m         \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 600\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfunc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    601\u001b[0m         \u001b[0;32mexcept\u001b[0m \u001b[0mKeyboardInterrupt\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    602\u001b[0m             \u001b[0;31m# We capture the KeyboardInterrupt and reraise it as\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/usr/local/lib/python3.7/site-packages/joblib/parallel.py\u001b[0m in \u001b[0;36m__call__\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    254\u001b[0m         \u001b[0;32mwith\u001b[0m \u001b[0mparallel_backend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_backend\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mn_jobs\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_n_jobs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    255\u001b[0m             return [func(*args, **kwargs)\n\u001b[0;32m--> 256\u001b[0;31m                     for func, args, kwargs in self.items]\n\u001b[0m\u001b[1;32m    257\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    258\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m__len__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/usr/local/lib/python3.7/site-packages/joblib/parallel.py\u001b[0m in \u001b[0;36m<listcomp>\u001b[0;34m(.0)\u001b[0m\n\u001b[1;32m    254\u001b[0m         \u001b[0;32mwith\u001b[0m \u001b[0mparallel_backend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_backend\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mn_jobs\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_n_jobs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    255\u001b[0m             return [func(*args, **kwargs)\n\u001b[0;32m--> 256\u001b[0;31m                     for func, args, kwargs in self.items]\n\u001b[0m\u001b[1;32m    257\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    258\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m__len__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m<ipython-input-99-523d1e37f2d9>\u001b[0m in \u001b[0;36mbuild_bag\u001b[0;34m(node)\u001b[0m\n\u001b[1;32m      3\u001b[0m     \u001b[0mbow\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mnode\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mzeros\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mshape\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdict_full\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdtype\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mint\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      4\u001b[0m     \u001b[0;32mfor\u001b[0m \u001b[0mw\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mnode_info_snl\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mnode\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 5\u001b[0;31m         \u001b[0mbow\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnode\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mdict_full\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mindex\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mw\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m+=\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      6\u001b[0m     \u001b[0mbow\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mnode\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mbow\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mnode\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtolist\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      7\u001b[0m \u001b[0;31m#build_bag(1)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mValueError\u001b[0m: 'looking' is not in list"
     ]
    }
   ],
   "source": [
    "bow = {}\n",
    "def build_bag(node):\n",
    "    bow[node] = np.zeros(shape=len(dict_full), dtype = int)\n",
    "    for w in node_info_snl[node]:\n",
    "        bow[int(node)][dict_full.index(w)] += 1            \n",
    "    bow[node] = bow[node].tolist()\n",
    "#build_bag(1)\n",
    "Parallel(n_jobs = -2, require='sharedmem')(delayed(build_bag)(node) for node in node_info_snl)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{1: [4, 3, 3, 3, 3, 3, 1, 3, 3, 3, 12, 15, 6, 11, 10, 48, 14, 12, 12, 8, 9, 9, 9, 9, 3, 22, 18, 12, 5, 3, 2, 1, 1, 1, 1, 13, 11, 22, 4, 7, 5, 6, 1, 13, 5, 2, 5, 3, 3, 7, 1, 2, 1, 5, 5, 3, 9, 2, 6, 2, 1, 2, 2, 1, 2, 19, 5, 1, 1, 1, 2, 4, 5, 1, 1, 1, 4, 2, 4, 1, 1, 2, 10, 1, 1, 2, 1, 1, 11, 1, 5, 4, 1, 2, 1, 1, 1, 1, 4, 2, 1, 4, 2, 1, 1, 1, 1, 3, 1, 9, 7, 1, 2, 1, 6, 18, 4, 1, 1, 1, 1, 1, 1, 1, 4, 15, 2, 1, 4, 3, 16, 10, 1, 1, 8, 7, 5, 3, 1, 8, 7, 1, 1, 1, 3, 1, 1, 2, 8, 4, 2, 1, 4, 1, 4, 1, 1, 1, 1, 1, 1, 8, 1, 1, 1, 2, 2, 4, 2, 1, 1, 1, 2, 2, 1, 1, 7, 1, 1, 1, 2, 1, 1, 1, 3, 1, 1, 1, 1, 6, 2, 1, 1, 1, 5, 1, 6, 3, 6, 3, 3, 3, 3, 12, 3, 3, 6, 6, 6, 3, 3, 3, 3, 3, 6, 6, 3, 3, 3, 3, 3, 6, 6, 84, 6, 3, 3, 3, 3, 3, 3, 24, 3, 6, 12, 3, 51, 3, 12, 3, 3, 6, 9, 3, 6, 6, 12, 3, 24, 3, 6, 3, 3, 3, 3, 3, 3, 3, 6, 9, 48, 3, 6, 3, 3, 15, 12, 6, 3, 16, 6, 3, 3, 3, 3, 3, 3, 3, 15, 6, 33, 9, 15, 21, 6, 6, 12, 3, 3, 6, 3, 12, 3, 12, 3, 3, 12, 12, 3, 27, 3, 3, 3, 3, 3, 3, 3, 6, 3, 6, 6, 3, 3, 18, 3, 12, 9, 18, 3, 12, 4, 6, 3, 3, 3, 4, 3, 3, 3, 9, 3, 3, 6, 3, 3, 3, 3, 3, 3, 3, 3, 3, 12, 24, 12, 9, 3, 3, 3, 9, 18, 6, 6, 6, 3, 3, 3, 9, 3, 3, 3, 3, 3, 3, 6, 3, 9, 9, 3, 3, 3, 3, 6, 3, 15, 3, 3, 6, 6, 6, 6, 10, 6, 6, 9, 9, 6, 3, 3, 3, 27, 3, 3, 15, 15, 6, 6, 18, 9, 3, 6, 3, 6, 6, 3, 3, 6, 3, 6, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 6, 6, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 6, 3, 3, 6, 3, 3, 3, 3, 3, 3, 3, 3, 1, 1, 2, 1, 1, 1, 1, 1, 1, 5, 1, 1, 2, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 2, 2, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]}\n"
     ]
    }
   ],
   "source": [
    "print(bow)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {},
   "outputs": [
    {
     "ename": "TypeError",
     "evalue": "Object of type ndarray is not JSON serializable",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-91-1ad2715c4e17>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;32mwith\u001b[0m \u001b[0mopen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'./data/node_information/BOW.json'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'w'\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mfile\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m     \u001b[0mjson\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdump\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mbow\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfile\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      3\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mbow\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/usr/local/Cellar/python/3.7.5/Frameworks/Python.framework/Versions/3.7/lib/python3.7/json/__init__.py\u001b[0m in \u001b[0;36mdump\u001b[0;34m(obj, fp, skipkeys, ensure_ascii, check_circular, allow_nan, cls, indent, separators, default, sort_keys, **kw)\u001b[0m\n\u001b[1;32m    177\u001b[0m     \u001b[0;31m# could accelerate with writelines in some versions of Python, at\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    178\u001b[0m     \u001b[0;31m# a debuggability cost\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 179\u001b[0;31m     \u001b[0;32mfor\u001b[0m \u001b[0mchunk\u001b[0m \u001b[0;32min\u001b[0m \u001b[0miterable\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    180\u001b[0m         \u001b[0mfp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mwrite\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mchunk\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    181\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/usr/local/Cellar/python/3.7.5/Frameworks/Python.framework/Versions/3.7/lib/python3.7/json/encoder.py\u001b[0m in \u001b[0;36m_iterencode\u001b[0;34m(o, _current_indent_level)\u001b[0m\n\u001b[1;32m    429\u001b[0m             \u001b[0;32myield\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0m_iterencode_list\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mo\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0m_current_indent_level\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    430\u001b[0m         \u001b[0;32melif\u001b[0m \u001b[0misinstance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mo\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdict\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 431\u001b[0;31m             \u001b[0;32myield\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0m_iterencode_dict\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mo\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0m_current_indent_level\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    432\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    433\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0mmarkers\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/usr/local/Cellar/python/3.7.5/Frameworks/Python.framework/Versions/3.7/lib/python3.7/json/encoder.py\u001b[0m in \u001b[0;36m_iterencode_dict\u001b[0;34m(dct, _current_indent_level)\u001b[0m\n\u001b[1;32m    403\u001b[0m                 \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    404\u001b[0m                     \u001b[0mchunks\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0m_iterencode\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mvalue\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0m_current_indent_level\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 405\u001b[0;31m                 \u001b[0;32myield\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0mchunks\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    406\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mnewline_indent\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    407\u001b[0m             \u001b[0m_current_indent_level\u001b[0m \u001b[0;34m-=\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/usr/local/Cellar/python/3.7.5/Frameworks/Python.framework/Versions/3.7/lib/python3.7/json/encoder.py\u001b[0m in \u001b[0;36m_iterencode\u001b[0;34m(o, _current_indent_level)\u001b[0m\n\u001b[1;32m    436\u001b[0m                     \u001b[0;32mraise\u001b[0m \u001b[0mValueError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"Circular reference detected\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    437\u001b[0m                 \u001b[0mmarkers\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mmarkerid\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mo\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 438\u001b[0;31m             \u001b[0mo\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0m_default\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mo\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    439\u001b[0m             \u001b[0;32myield\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0m_iterencode\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mo\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0m_current_indent_level\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    440\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0mmarkers\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/usr/local/Cellar/python/3.7.5/Frameworks/Python.framework/Versions/3.7/lib/python3.7/json/encoder.py\u001b[0m in \u001b[0;36mdefault\u001b[0;34m(self, o)\u001b[0m\n\u001b[1;32m    177\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    178\u001b[0m         \"\"\"\n\u001b[0;32m--> 179\u001b[0;31m         raise TypeError(f'Object of type {o.__class__.__name__} '\n\u001b[0m\u001b[1;32m    180\u001b[0m                         f'is not JSON serializable')\n\u001b[1;32m    181\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mTypeError\u001b[0m: Object of type ndarray is not JSON serializable"
     ]
    }
   ],
   "source": [
    "with open('./data/node_information/BOW.json', 'w') as file:\n",
    "    json.dump(bow, file)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "##print BOW to json for using in the ML algo"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Word2Vec\n",
    "\n",
    "Embbed the word "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(2, 1)\n"
     ]
    }
   ],
   "source": [
    "a = np.array([[1],[2]])\n",
    "print(a.shape)"
   ]
  }
 ],
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  "name": "python",
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