{"id":56044,"date":"2021-04-06T08:33:56","date_gmt":"2021-04-06T07:33:56","guid":{"rendered":"https:\/\/datascientest.com\/?p=56044"},"modified":"2023-11-09T14:09:37","modified_gmt":"2023-11-09T14:09:37","slug":"nltk","status":"publish","type":"post","link":"https:\/\/datascientest.com\/nltk","title":{"rendered":"NTLK : guide de l&rsquo;outil de Traitement Naturel du Langage en Python"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"56044\" class=\"elementor elementor-56044\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-743c480 e-flex e-con-boxed e-con\" data-id=\"743c480\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-e07052c elementor-widget elementor-widget-heading\" data-id=\"e07052c\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-heading-title{padding:0;margin:0;line-height:1}.elementor-widget-heading .elementor-heading-title[class*=elementor-size-]>a{color:inherit;font-size:inherit;line-height:inherit}.elementor-widget-heading .elementor-heading-title.elementor-size-small{font-size:15px}.elementor-widget-heading .elementor-heading-title.elementor-size-medium{font-size:19px}.elementor-widget-heading .elementor-heading-title.elementor-size-large{font-size:29px}.elementor-widget-heading .elementor-heading-title.elementor-size-xl{font-size:39px}.elementor-widget-heading .elementor-heading-title.elementor-size-xxl{font-size:59px}<\/style><h2 class=\"elementor-heading-title elementor-size-default\">NLTK est une biblioth\u00e8que Python d\u00e9di\u00e9e au traitement naturel du langage ou Natural Language Processing. D\u00e9couvrez tout ce que vous devez savoir pour maitriser cet outil.<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-712e88c e-flex e-con-boxed e-con\" data-id=\"712e88c\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-da20617 elementor-widget elementor-widget-text-editor\" data-id=\"da20617\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-widget-text-editor.elementor-drop-cap-view-stacked .elementor-drop-cap{background-color:#69727d;color:#fff}.elementor-widget-text-editor.elementor-drop-cap-view-framed .elementor-drop-cap{color:#69727d;border:3px solid;background-color:transparent}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap{margin-top:8px}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap-letter{width:1em;height:1em}.elementor-widget-text-editor .elementor-drop-cap{float:left;text-align:center;line-height:1;font-size:50px}.elementor-widget-text-editor .elementor-drop-cap-letter{display:inline-block}<\/style>\t\t\t\t<p>Les interactions entre humains et machines sont longtemps pass\u00e9es par des claviers et du code informatique. Et s&rsquo;il \u00e9tait possible de<strong> communiquer avec un ordinateur uniquement par \u00e9crit ou \u00e0 l&rsquo;oral<\/strong> en langage naturel, comme on le ferait avec un autre humain ? Tel est le but du <strong>Natural Language Processing<\/strong>.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-6c52f54 e-flex e-con-boxed e-con\" data-id=\"6c52f54\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-bf02fc8 elementor-widget elementor-widget-heading\" data-id=\"bf02fc8\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Qu'est-ce que le traitement naturel du langage ?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c24786a elementor-widget elementor-widget-text-editor\" data-id=\"c24786a\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Le traitement naturel du langage, aussi appel\u00e9 <a href=\"https:\/\/datascientest.com\/introduction-au-nlp-natural-language-processing\">Nat<\/a><a href=\"https:\/\/datascientest.com\/introduction-au-nlp-natural-language-processing\">ural<\/a><a href=\"https:\/\/datascientest.com\/introduction-au-nlp-natural-language-processing\"> Language<\/a><a href=\"https:\/\/datascientest.com\/introduction-au-nlp-natural-language-processing\"> Processing<\/a><a href=\"https:\/\/datascientest.com\/introduction-au-nlp-natural-language-processing\"> ou<\/a><a href=\"https:\/\/datascientest.com\/introduction-au-nlp-natural-language-processing\"> NLP<\/a>, est une branche de l&rsquo;intelligence artificielle. Elle vise \u00e0 permettre aux humains <strong>d&rsquo;interagir avec les ordinateurs par le langage naturel<\/strong>.<\/p><p>Gr\u00e2ce \u00e0 cette technologie, les machines deviendront \u00e0 terme capables<strong> de d\u00e9chiffrer et de comprendre le langage humain<\/strong>. Afin de parvenir \u00e0 ce but, diff\u00e9rents mod\u00e8les, techniques et autres biblioth\u00e8ques de langage de programmation ont \u00e9t\u00e9 d\u00e9velopp\u00e9s.<\/p><p>L&rsquo;objectif ? Entra\u00eener les ordinateurs \u00e0 traiter le texte, \u00e0 le comprendre, \u00e0 r\u00e9aliser des pr\u00e9dictions en se basant dessus ou m\u00eame \u00e0 g\u00e9n\u00e9rer de nouveaux textes <a href=\"https:\/\/datascientest.com\/gpt-3-revolutionnaire-ou-surmediatise\">\u00e0<\/a><a href=\"https:\/\/datascientest.com\/gpt-3-revolutionnaire-ou-surmediatise\"> l&rsquo;<\/a><a href=\"https:\/\/datascientest.com\/gpt-3-revolutionnaire-ou-surmediatise\">instar<\/a><a href=\"https:\/\/datascientest.com\/gpt-3-revolutionnaire-ou-surmediatise\"> de<\/a><a href=\"https:\/\/datascientest.com\/gpt-3-revolutionnaire-ou-surmediatise\"> l&rsquo;IA<\/a><a href=\"https:\/\/datascientest.com\/gpt-3-revolutionnaire-ou-surmediatise\"> G<\/a><a href=\"https:\/\/datascientest.com\/gpt-3-revolutionnaire-ou-surmediatise\">TP-3<\/a>.\u00a0<\/p><p>L&rsquo;entra\u00eenement des ordinateurs, <a href=\"https:\/\/datascientest.com\/machine-learning-tout-savoir\">aussi appel\u00e9 Machine Learning<\/a>, n\u00e9cessite en premier lieu d&rsquo;agr\u00e9ger des donn\u00e9es et de les utiliser pour \u00ab\u00a0nourrir\u00a0\u00bb un mod\u00e8le. Ces donn\u00e9es sont trait\u00e9es par le mod\u00e8le qui apprend \u00e0 les classifier.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-daa6814 elementor-widget__width-initial elementor-widget elementor-widget-video\" data-id=\"daa6814\" data-element_type=\"widget\" data-settings=\"{&quot;youtube_url&quot;:&quot;https:\\\/\\\/youtu.be\\\/fX1jw0fEs7M&quot;,&quot;video_type&quot;:&quot;youtube&quot;,&quot;controls&quot;:&quot;yes&quot;}\" data-widget_type=\"video.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-widget-video .elementor-widget-container{overflow:hidden;transform:translateZ(0)}.elementor-widget-video .elementor-wrapper{aspect-ratio:var(--video-aspect-ratio)}.elementor-widget-video .elementor-wrapper iframe,.elementor-widget-video .elementor-wrapper video{height:100%;width:100%;display:flex;border:none;background-color:#000}@supports not (aspect-ratio:1\/1){.elementor-widget-video .elementor-wrapper{position:relative;overflow:hidden;height:0;padding-bottom:calc(100% \/ var(--video-aspect-ratio))}.elementor-widget-video .elementor-wrapper iframe,.elementor-widget-video .elementor-wrapper video{position:absolute;top:0;right:0;bottom:0;left:0}}.elementor-widget-video .elementor-open-inline .elementor-custom-embed-image-overlay{position:absolute;top:0;right:0;bottom:0;left:0;background-size:cover;background-position:50%}.elementor-widget-video .elementor-custom-embed-image-overlay{cursor:pointer;text-align:center}.elementor-widget-video .elementor-custom-embed-image-overlay:hover .elementor-custom-embed-play i{opacity:1}.elementor-widget-video .elementor-custom-embed-image-overlay img{display:block;width:100%;aspect-ratio:var(--video-aspect-ratio);-o-object-fit:cover;object-fit:cover;-o-object-position:center center;object-position:center center}@supports not (aspect-ratio:1\/1){.elementor-widget-video .elementor-custom-embed-image-overlay{position:relative;overflow:hidden;height:0;padding-bottom:calc(100% \/ var(--video-aspect-ratio))}.elementor-widget-video .elementor-custom-embed-image-overlay img{position:absolute;top:0;right:0;bottom:0;left:0}}.elementor-widget-video .e-hosted-video .elementor-video{-o-object-fit:cover;object-fit:cover}.e-con-inner>.elementor-widget-video,.e-con>.elementor-widget-video{width:var(--container-widget-width);--flex-grow:var(--container-widget-flex-grow)}<\/style>\t\t<div class=\"elementor-wrapper elementor-open-inline\">\n\t\t\t<div class=\"elementor-video\"><\/div>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-0f3421d e-flex e-con-boxed e-con\" data-id=\"0f3421d\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-446531a elementor-widget elementor-widget-heading\" data-id=\"446531a\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">\u00c0 quoi sert le NLP ?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7a8fe4f elementor-widget elementor-widget-text-editor\" data-id=\"7a8fe4f\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Chaque jour, les pages web, les blogs et les r\u00e9seaux sociaux g\u00e9n\u00e8rent <strong>d&rsquo;immenses quantit\u00e9s de donn\u00e9es<\/strong> sous forme de texte. En analysant ces donn\u00e9es, les entreprises peuvent comprendre les internautes et leurs centres d&rsquo;int\u00e9r\u00eat afin de d\u00e9velopper de nouveaux services et produits.<\/p><p>Le Traitement Naturel du Langage est utilis\u00e9 de nombreuses mani\u00e8res. Les<strong> moteurs de recherche comme Google et Yahoo<\/strong> reposent sur cette technologie pour comprendre le sens des recherches sur le web.<\/p><p>Les <strong>r\u00e9seaux sociaux comme Facebook<\/strong> analysent les centres d&rsquo;int\u00e9r\u00eat des utilisateurs pour leur proposer des publicit\u00e9s cibl\u00e9es ou pr\u00e9senter du contenu pertinent dans leur flux d&rsquo;actualit\u00e9. Les<strong> assistants vocaux comme Apple Siri <\/strong>ou Amazon Alexa reposent aussi sur le NLP, au m\u00eame titre que les filtres de spam.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-ee8ab90 e-flex e-con-boxed e-con\" data-id=\"ee8ab90\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-e643c8c elementor-widget elementor-widget-heading\" data-id=\"e643c8c\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Qu'est-ce que NLTK ?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5696422 elementor-widget elementor-widget-text-editor\" data-id=\"5696422\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Le <strong>NLTK, ou Natural Language Toolkit<\/strong>, est une suite de biblioth\u00e8ques logicielles et de programmes. Elle est con\u00e7ue pour le traitement naturel symbolique et statistique du langage anglais en <a href=\"https:\/\/datascientest.com\/python-tout-savoir\">langage<\/a><a href=\"https:\/\/datascientest.com\/python-tout-savoir\"> Pytho<\/a><a href=\"https:\/\/datascientest.com\/python-tout-savoir\">n<\/a>. C&rsquo;est l&rsquo;une des biblioth\u00e8ques de traitement naturel du langage les plus puissantes.<\/p><p>Cette suite d&rsquo;outils rassemble <strong>les algorithmes les plus communs du traitement naturel du langage<\/strong> comme le tokenizing, le part-of-speech tagging, le stemming, l&rsquo;analyse de sentiment, la segmentation de topic ou la reconnaissance d&rsquo;entit\u00e9 nomm\u00e9e.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f4f70a1 elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"f4f70a1\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm elementor-animation-grow\" href=\"https:\/\/datascientest.com\/formation-data-management\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Apprendre \u00e0 ma\u00eetriser le NLTK<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-5ae12b3 e-flex e-con-boxed e-con\" data-id=\"5ae12b3\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-92da594 elementor-widget elementor-widget-heading\" data-id=\"92da594\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Les diff\u00e9rents algorithmes de NLTK<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-e6493c7 elementor-widget__width-initial elementor-widget elementor-widget-video\" data-id=\"e6493c7\" data-element_type=\"widget\" data-settings=\"{&quot;youtube_url&quot;:&quot;https:\\\/\\\/youtu.be\\\/fNxaJsNG3-s&quot;,&quot;video_type&quot;:&quot;youtube&quot;,&quot;controls&quot;:&quot;yes&quot;}\" data-widget_type=\"video.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-wrapper elementor-open-inline\">\n\t\t\t<div class=\"elementor-video\"><\/div>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-783488f elementor-widget elementor-widget-text-editor\" data-id=\"783488f\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>La <strong>tokenization est un processus<\/strong> permettant de r\u00e9duire un diviser un texte en plusieurs sous-parties appel\u00e9es tokens. Cette m\u00e9thode permet d&rsquo;extraire des statistiques depuis le corpus de texte, par exemple le nombre de phrases.<\/p><p>Ces statistiques peuvent \u00eatre ensuite utilis\u00e9es pour r\u00e9gler les param\u00e8tres lors de l&rsquo;entra\u00eenement d&rsquo;un mod\u00e8le. Cette technique sert aussi \u00e0 <strong>trouver des \u00a0\u00bb patterns \u00a0\u00bb dans le texte<\/strong>, indispensables pour effectuer des t\u00e2ches de traitement naturel du langage.<\/p><p>La<strong> m\u00e9thode du Stemming<\/strong> permet de convertir un ensemble de mots dans une phrase en une s\u00e9quence, Les mots ayant le m\u00eame sens, mais varient en fonction du contexte sont ainsi normalis\u00e9e. Le but est de trouver la racine \u00e0 partir des diff\u00e9rentes variations du mot. Le NLTK regroupe plusieurs \u00ab\u00a0stemmers\u00a0\u00bb comme le Porter Stemmer, le Snowball Stemmer et le Lancaster Stemmer.<\/p><p>La <strong>technique de Lemmatisation<\/strong> est un processus algorithmique permettant de trouver le lemme d&rsquo;un mot en fonction de son sens. Il s&rsquo;agit de l&rsquo;analyse morphologique des mots, visant \u00e0 supprimer ses affixes. Sur NTLK, la fonction morph native de WordNet est utilis\u00e9e pour la Lemmatisation.<\/p><p>Il est possible d&rsquo;effectuer la Lemmatisation <strong>avec ou sans \u00ab\u00a0POS tag\u00a0\u00bb ou \u00ab\u00a0part-of-speech tag\u00a0\u00bb<\/strong>. Cette derni\u00e8re m\u00e9thode consiste \u00e0 assigner un tag (une \u00e9tiquette) \u00e0 chaque mot afin d&rsquo;accro\u00eetre l&rsquo;exactitude du mot dans le contexte de l&rsquo;ensemble de donn\u00e9es. Cette \u00e9tiquette sert par exemple \u00e0 indiquer si le mot est un verbe ou un adjectif, pour quoi le syst\u00e8me sache quel affixe ajouter au lemme.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-e21385c e-flex e-con-boxed e-con\" data-id=\"e21385c\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-6e73a8f elementor-widget elementor-widget-heading\" data-id=\"6e73a8f\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Les autres biblioth\u00e8ques de traitement naturel du langage<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6b7ddd1 elementor-widget elementor-widget-text-editor\" data-id=\"6b7ddd1\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Il existe <strong>de nombreuses biblioth\u00e8ques logicielles<\/strong> d\u00e9di\u00e9es au traitement naturel du langage. On peut citer <a href=\"https:\/\/spacy.io\/\">spaCy<\/a>, totalement optimis\u00e9e et tr\u00e8s utilis\u00e9e dans le <a href=\"https:\/\/datascientest.com\/deep-learning\">Deep Learning<\/a>.<\/p><p>La <strong>biblioth\u00e8que TextBlob<\/strong> fonctionne avec Python 2 et 3 et permet de traiter des donn\u00e9es textuelles. Du c\u00f4t\u00e9 de l&rsquo;Open Source, on retrouve Genism : tr\u00e8s efficace et extensible.<\/p><p>De son c\u00f4t\u00e9, <strong>Pattern est un module NLP tr\u00e8s l\u00e9ger<\/strong> qu&rsquo;on utilise principalement pour le web-mining ou le crawling. Pour les applications massivement multilungues, Polyglot est le meilleur choix.<\/p><p>Pour <strong>le parsing de multiples formats de donn\u00e9es<\/strong> comme FoLiA\/Giza\/Moses\/ARPA\/Timbl\/CQL, on utilise PyNLPI ou Pineapple. Enfin, Vocabulary est tr\u00e8s utile pour extraire des informations s\u00e9mantiques sur un texte. N\u00e9anmoins, la biblioth\u00e8que NLP la plus utilis\u00e9e est NLTK.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-8aed4ed e-flex e-con-boxed e-con\" data-id=\"8aed4ed\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-770c59c elementor-widget elementor-widget-heading\" data-id=\"770c59c\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Pourquoi et comment apprendre \u00e0 utiliser NLTK ?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-95e4d58 elementor-widget elementor-widget-text-editor\" data-id=\"95e4d58\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Apprendre \u00e0 utiliser le NLTK est <strong>une comp\u00e9tence tr\u00e8s utile<\/strong>, et indispensable pour le traitement naturel du langage (NLP). De mani\u00e8re g\u00e9n\u00e9rale, il s&rsquo;agit d&rsquo;un outil \u00e0 conna\u00eetre pour travailler dans l&rsquo;intelligence artificielle et le Machine Learning.<\/p><p>Pour ma\u00eetriser cette suite d&rsquo;outils, vous pouvez opter pour <a href=\"https:\/\/datascientest.com\/formations-data\">les formations de DataScientest<\/a>. L&rsquo;IA et ses diff\u00e9rentes branches comme le Deep Learning et le NLP sont au coeur de nos formations Data Analyst, Data Scientist, ML Engineer au m\u00eame titre que le langage Python et ses biblioth\u00e8ques.<\/p><p>Nos diff\u00e9rents parcours permettent de vous former rapidement et efficacement aux m\u00e9tiers de la Data Science. Chaque cursus peut \u00eatre effectu\u00e9 en Bootcamp ou en Formation continue, et adopte <strong>une approche de <\/strong><a href=\"https:\/\/datascientest.com\/blended-learning\">blended learning<\/a>\u00a0alliant physique et distanciel.<\/p><p>Ces<strong> formations sont \u00e9ligibles au<\/strong> <a href=\"\/formation-data-cpf\"><u>CPF<\/u><\/a>, et peuvent aussi \u00eatre financ\u00e9es par P\u00f4le Emploi via l&rsquo;AIF. \u00c0 l&rsquo;issue du programme, vous recevrez un dipl\u00f4me certifi\u00e9 par l&rsquo;Universit\u00e9 de la Sorbonne. N&rsquo;attendez plus et d\u00e9couvrez nos formations !<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7e22792 elementor-widget__width-initial elementor-widget elementor-widget-video\" data-id=\"7e22792\" data-element_type=\"widget\" data-settings=\"{&quot;youtube_url&quot;:&quot;https:\\\/\\\/www.youtube.com\\\/watch?v=SNNK6z03TaA&amp;t=57s&quot;,&quot;video_type&quot;:&quot;youtube&quot;,&quot;controls&quot;:&quot;yes&quot;}\" data-widget_type=\"video.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-wrapper elementor-open-inline\">\n\t\t\t<div class=\"elementor-video\"><\/div>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-53fe197 elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"53fe197\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm elementor-animation-grow\" href=\"https:\/\/datascientest.com\/formations-data\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">D\u00e9couvrir les formations DataScientest<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-d61cb5f e-flex e-con-boxed e-con\" data-id=\"d61cb5f\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-2a9c9b0 elementor-widget elementor-widget-text-editor\" data-id=\"2a9c9b0\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Vous savez tout sur le NLTK. D\u00e9couvrez <a href=\"https:\/\/datascientest.com\/python-tout-savoir\">notre guide complet sur le langage Python<\/a>, et <a href=\"https:\/\/datascientest.com\/deep-learning\">notre introduction au Deep Learning<\/a>.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>NLTK est une biblioth\u00e8que Python d\u00e9di\u00e9e au traitement naturel du langage ou Natural Language Processing. D\u00e9couvrez tout ce que vous devez savoir pour maitriser cet outil. Les interactions entre humains et machines sont longtemps pass\u00e9es par des claviers et du code informatique. Et s&rsquo;il \u00e9tait possible de communiquer avec un ordinateur uniquement par \u00e9crit ou [&hellip;]<\/p>\n","protected":false},"author":77,"featured_media":58650,"comment_status":"open","ping_status":"open","sticky":false,"template":"elementor_theme","format":"standard","meta":{"content-type":"","inline_featured_image":false},"categories":[2497],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v21.7 (Yoast SEO v21.7) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>NTLK : guide de l&#039;outil de Traitement Naturel du Langage en Python<\/title>\n<meta name=\"description\" content=\"NLTK est une biblioth\u00e8que du langage informatique Python d\u00e9di\u00e9e au Traitement Naturel du Langage ou Natural Language Processing.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/datascientest.com\/nltk\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"NTLK : guide de l&#039;outil de Traitement Naturel du Langage en Python\" \/>\n<meta property=\"og:url\" content=\"https:\/\/datascientest.com\/nltk\" \/>\n<meta property=\"og:site_name\" content=\"Formation Data Science | DataScientest.com\" \/>\n<meta property=\"article:published_time\" content=\"2021-04-06T07:33:56+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2023-11-09T14:09:37+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/datascientest.com\/wp-content\/uploads\/2021\/03\/illu_NLTK_blog-121.png\" \/>\n\t<meta property=\"og:image:width\" content=\"4267\" \/>\n\t<meta property=\"og:image:height\" content=\"2342\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"author\" content=\"Raphael Kassel\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"\u00c9crit par\" \/>\n\t<meta name=\"twitter:data1\" content=\"Raphael Kassel\" \/>\n\t<meta name=\"twitter:label2\" content=\"Dur\u00e9e de lecture estim\u00e9e\" \/>\n\t<meta name=\"twitter:data2\" content=\"6 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/datascientest.com\/nltk\",\"url\":\"https:\/\/datascientest.com\/nltk\",\"name\":\"NTLK : guide de l'outil de Traitement Naturel du Langage en Python\",\"isPartOf\":{\"@id\":\"https:\/\/datascientest.com\/#website\"},\"datePublished\":\"2021-04-06T07:33:56+00:00\",\"dateModified\":\"2023-11-09T14:09:37+00:00\",\"author\":{\"@id\":\"https:\/\/datascientest.com\/#\/schema\/person\/6eca16f63daaafcbc96e15549b9d4ee1\"},\"description\":\"NLTK est une biblioth\u00e8que du langage informatique Python d\u00e9di\u00e9e au Traitement Naturel du Langage ou Natural Language Processing.\",\"inLanguage\":\"fr-FR\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/datascientest.com\/nltk\"]}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/datascientest.com\/#website\",\"url\":\"https:\/\/datascientest.com\/\",\"name\":\"Formation Data Science | DataScientest.com\",\"description\":\"Leader de la formation en Data Science\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/datascientest.com\/?s={search_term_string}\"},\"query-input\":\"required name=search_term_string\"}],\"inLanguage\":\"fr-FR\"},{\"@type\":\"Person\",\"@id\":\"https:\/\/datascientest.com\/#\/schema\/person\/6eca16f63daaafcbc96e15549b9d4ee1\",\"name\":\"Raphael Kassel\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"fr-FR\",\"@id\":\"https:\/\/datascientest.com\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/datascientest.com\/wp-content\/uploads\/2023\/11\/raph.jpeg\",\"contentUrl\":\"https:\/\/datascientest.com\/wp-content\/uploads\/2023\/11\/raph.jpeg\",\"caption\":\"Raphael Kassel\"},\"description\":\"Raphael Kassel est le Head of Data Programs chez DataScientest. 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