{"id":226124,"date":"2024-02-16T06:30:00","date_gmt":"2024-02-16T06:30:00","guid":{"rendered":"https:\/\/datascientest.com\/?p=226124"},"modified":"2024-03-14T15:04:55","modified_gmt":"2024-03-14T15:04:55","slug":"nlu-natural-language-understanding-tout-savoir","status":"publish","type":"post","link":"https:\/\/datascientest.com\/nlu-natural-language-understanding-tout-savoir","title":{"rendered":"NLU (Natural Language Understanding) : Qu&rsquo;est-ce que c&rsquo;est ?"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"226124\" class=\"elementor elementor-226124\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-be0f747 e-flex e-con-boxed e-con\" data-id=\"be0f747\" 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-68ad661 elementor-widget elementor-widget-heading\" data-id=\"68ad661\" 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\">Apparu pour la premi\u00e8re fois dans les ann\u00e9es 1960, le NLU (ou natural language understanding) a connu une \u00e9volution significative. Aujourd\u2019hui, les machines sont capables de saisir le sens profond et nuanc\u00e9 du langage humain. Parfois m\u00eame mieux que les \u00eatres humains eux-m\u00eames. D\u00e9couvrez cette technologie NLU, ces applications concr\u00e8tes et son mode de fonctionnement.\u00a0<\/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-df93bbf e-flex e-con-boxed e-con\" data-id=\"df93bbf\" 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-8ce3b66 elementor-widget elementor-widget-heading\" data-id=\"8ce3b66\" 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\">Le NLU ou la compr\u00e9hension du langage nature<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a311f62 elementor-widget elementor-widget-heading\" data-id=\"a311f62\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-medium\">D\u00e9finition du NLU <\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6fdf1c6 elementor-widget elementor-widget-text-editor\" data-id=\"6fdf1c6\" 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><span style=\"font-weight: 400;\">Le NLU (ou natural language understanding) est une branche du <a href=\"https:\/\/datascientest.com\/introduction-au-nlp-natural-language-processing\">traitement automatique du langage naturel (NLP)<\/a> et de l&rsquo;intelligence artificielle. L\u2019objectif \u00e9tant de <\/span><b>saisir le sens profond d&rsquo;un texte ou d&rsquo;un discours oral<\/b><span style=\"font-weight: 400;\">. Mais il s\u2019agit de bien plus qu\u2019une simple analyse syntaxique. En s&rsquo;appuyant sur des mod\u00e8les de <a href=\"https:\/\/datascientest.com\/machine-learning-tout-savoir\">machine learning avanc\u00e9s<\/a>, le NLU est capable de <\/span><b>d\u00e9crypter les connotations \u00e9motionnelles, les intentions sous-jacentes et les objectifs <\/b><span style=\"font-weight: 400;\">exprim\u00e9s \u00e0 l\u2019\u00e9crit ou \u00e0 l\u2019oral. En plus, le natural language understanding est programm\u00e9 pour comprendre le sens, malgr\u00e9 les erreurs humaines courantes (comme les fautes de prononciation, les fautes d\u2019orthographe ou les transpositions de lettres et de mots).\u00a0<\/span><\/p><p><span style=\"font-weight: 400;\">Aujourd\u2019hui, les machines peuvent<\/span><b> interpr\u00e9ter le langage naturel de mani\u00e8re contextuelle<\/b><span style=\"font-weight: 400;\"> et r\u00e9pondre de mani\u00e8re appropri\u00e9e aux diff\u00e9rentes requ\u00eates \u00e9mises. Ce qui repr\u00e9sente une avanc\u00e9e significative dans la compr\u00e9hension approfondie du langage humain.<\/span><\/p><p><span style=\"font-weight: 400;\"><span style=\"text-decoration: underline;\"><strong>Bon \u00e0 savoir<\/strong><\/span> : Si l\u2019arriv\u00e9e de <a href=\"https:\/\/datascientest.com\/gpt-3-revolutionnaire-ou-surmediatise\">ChatGPT<\/a> a mis en lumi\u00e8re les avanc\u00e9es du NLU, il existe d\u00e9j\u00e0 depuis de nombreuses ann\u00e9es \u00e0 travers les chatbots et les assistants intelligents, tels qu&rsquo;Alexa, Google Assistant et Siri.<\/span><\/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-80c4a6c elementor-widget elementor-widget-image\" data-id=\"80c4a6c\" data-element_type=\"widget\" data-widget_type=\"image.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-image{text-align:center}.elementor-widget-image a{display:inline-block}.elementor-widget-image a img[src$=\".svg\"]{width:48px}.elementor-widget-image img{vertical-align:middle;display:inline-block}<\/style>\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"960\" height=\"600\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2023\/12\/Natural-Language-Understanding-1.jpg\" class=\"attachment-full size-full wp-image-226154\" alt=\"\" srcset=\"https:\/\/datascientest.com\/wp-content\/uploads\/2023\/12\/Natural-Language-Understanding-1.jpg 960w, https:\/\/datascientest.com\/wp-content\/uploads\/2023\/12\/Natural-Language-Understanding-1-300x188.jpg 300w, https:\/\/datascientest.com\/wp-content\/uploads\/2023\/12\/Natural-Language-Understanding-1-768x480.jpg 768w\" sizes=\"(max-width: 960px) 100vw, 960px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5b385e8 elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"5b385e8\" 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-machine-learning-engineer\">\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\">Se former au Machine Learning<\/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<div class=\"elementor-element elementor-element-3f39b7d elementor-widget elementor-widget-heading\" data-id=\"3f39b7d\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-medium\">NLU, NLP et NLG  : quelle diff\u00e9rence ?<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-537a5e1 elementor-widget elementor-widget-text-editor\" data-id=\"537a5e1\" 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><span style=\"font-weight: 400;\">Le langage humain \u00e9tant particuli\u00e8rement complexe, de nombreuses techniques visent \u00e0 en affiner la compr\u00e9hension et le traitement. Le NLU (natural language understanding) en fait partie. Mais c\u2019est loin d\u2019\u00eatre le seul.\u00a0<\/span><\/p><ul><li style=\"font-weight: 400;\" aria-level=\"1\"><b>Le natural language processing (NLP)<\/b><span style=\"font-weight: 400;\">: le traitement du langage naturel regroupe un ensemble de syst\u00e8mes (dont le NLU) visant \u00e0 analyser et comprendre le langage humain. Pour ce faire, les machines traitent des <\/span><span style=\"font-weight: 400;\">donn\u00e9es linguistiques non structur\u00e9es.\u00a0<\/span><\/li><li><b>Le natural language generation (NLG) :<\/b><span style=\"font-weight: 400;\"> au m\u00eame titre que le NLU, la g\u00e9n\u00e9ration de langage naturel est un sous-ensemble du NLP. Ici, l\u2019objectif est de g\u00e9n\u00e9rer automatiquement des textes en langage naturel. Les ordinateurs imitent la fa\u00e7on dont les humains communiquent entre eux, avec plus de fluidit\u00e9, d&rsquo;\u00e9motion et de personnalit\u00e9. Par exemple, en utilisant un ensemble de donn\u00e9es, les ordinateurs peuvent g\u00e9n\u00e9rer automatiquement un article d&rsquo;actualit\u00e9, un email de prospection ou une page de vente.<\/span><\/li><\/ul>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-cd53a55 elementor-widget elementor-widget-text-editor\" data-id=\"cd53a55\" 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><span style=\"font-weight: 400;\">NLU, NLP et NLG sont utilis\u00e9s conjointement pour comprendre et produire des textes semblables \u00e0 ceux des \u00eatres humains.<\/span><\/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-2d579a7 elementor-widget elementor-widget-heading\" data-id=\"2d579a7\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-medium\">Exemples d\u2019application<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6fa0e5a elementor-widget elementor-widget-text-editor\" data-id=\"6fa0e5a\" 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><span style=\"font-weight: 400;\">Aujourd\u2019hui, les technologies utilisant le NLU ne cessent de se multiplier. Voici quelques exemples :<\/span><\/p><ul><li style=\"font-weight: 400;\" aria-level=\"1\"><b>Les r\u00e9ponses vocales interactives (RVI) <\/b><span style=\"font-weight: 400;\">: ces technologies sont utilis\u00e9es pour l&rsquo;acheminement des appels. Ainsi, lors d\u2019un appel, le syst\u00e8me RVI analyse la voix de l\u2019appelant, les mots utilis\u00e9s individuellement et la structure grammaticale afin de d\u00e9terminer son intention. Il apporte ensuite la r\u00e9ponse la plus appropri\u00e9e.\u00a0<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><b>Les assistants personnels intelligents <\/b><span style=\"font-weight: 400;\">: il s\u2019agit simplement des chatbots. Ces programmes informatiques sont capables de converser avec un \u00eatre humain sur des sujets extr\u00eamement vari\u00e9s. Bien souvent, ils sont utilis\u00e9s dans les entreprises pour le <a href=\"https:\/\/datascientest.com\/crm-tout-savoir\">service client<\/a>, notamment pour fournir des r\u00e9ponses aux questions fr\u00e9quemment pos\u00e9es.<\/span><\/li><li><b>La d\u00e9tection des sentiments et intentions de l&rsquo;utilisateur<\/b><span style=\"font-weight: 400;\"> : le NLU (natural language understanding) peut aider les organisations \u00e0 analyser les commentaires re\u00e7us sur les r\u00e9seaux sociaux. Ce faisant, les entreprises sont plus \u00e0 m\u00eame de savoir si leurs clients sont satisfaits ou non des produits ou services propos\u00e9s. <\/span><\/li><\/ul>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-37f6a2b elementor-widget elementor-widget-image\" data-id=\"37f6a2b\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"900\" height=\"600\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2023\/12\/Natural-Language-Understanding-2.jpg\" class=\"attachment-full size-full wp-image-226158\" alt=\"\" srcset=\"https:\/\/datascientest.com\/wp-content\/uploads\/2023\/12\/Natural-Language-Understanding-2.jpg 900w, https:\/\/datascientest.com\/wp-content\/uploads\/2023\/12\/Natural-Language-Understanding-2-300x200.jpg 300w, https:\/\/datascientest.com\/wp-content\/uploads\/2023\/12\/Natural-Language-Understanding-2-768x512.jpg 768w\" sizes=\"(max-width: 900px) 100vw, 900px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-50fe5db elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"50fe5db\" 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-machine-learning-engineer\">\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\">Ma\u00eetriser le natural language understanding<\/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-d41975b e-flex e-con-boxed e-con\" data-id=\"d41975b\" 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-0ac503a elementor-widget elementor-widget-heading\" data-id=\"0ac503a\" 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\">Le fonctionnement du NLU (natural language understanding)<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-fe8ad11 elementor-widget elementor-widget-text-editor\" data-id=\"fe8ad11\" 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><span style=\"font-weight: 400;\">Pour comprendre et saisir le sens d\u2019un texte ou d\u2019un discours, les syst\u00e8mes de natural language understanding (NLU) utilise deux techniques fondamentales :\u00a0<\/span><\/p><ul><li style=\"font-weight: 400;\" aria-level=\"1\"><b>La reconnaissance d&rsquo;entit\u00e9s (ou tokens) <\/b><span style=\"font-weight: 400;\">: ici, le syst\u00e8me NLU d\u00e9finit plusieurs entit\u00e9s au sein du message. Parmi ces entit\u00e9s, on retrouve les entit\u00e9s nomm\u00e9es qui correspondent \u00e0 des cat\u00e9gories, comme les noms de personnes, les lieux, les objets, les signes de ponctuation\u2026 Et les entit\u00e9s num\u00e9riques, comme les quantit\u00e9s, les dates, les devises, les pourcentages\u2026 \u00c0 partir de l\u00e0, l\u2019ordinateur extrait les informations les plus importantes pour comprendre le sens du texte ou du discours.\u00a0<\/span><\/li><li><b>La reconnaissance de l&rsquo;intention <\/b><span style=\"font-weight: 400;\">: il s\u2019agit d&rsquo;identifier le sentiment et l\u2019objectif de l&rsquo;utilisateur. Pour cela, l\u2019ordinateur s\u2019attache \u00e0 la structure grammaticale des phrases et aux diff\u00e9rentes ambigu\u00eft\u00e9s possibles dans le sens des mots. C\u2019est sans doute la partie la plus importante au moment de comprendre le langage humain. <\/span><\/li><\/ul>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b2d6343 elementor-widget elementor-widget-text-editor\" data-id=\"b2d6343\" 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><span style=\"font-weight: 400;\">In fine, ces algorithmes permettent de <\/span><b>rendre le discours humain plus structur\u00e9<\/b><span style=\"font-weight: 400;\">. Il se transforme en un mod\u00e8le de donn\u00e9es compos\u00e9 de d\u00e9finitions s\u00e9mantiques et pragmatiques qui peuvent \u00eatre traduites par une machine en temps r\u00e9el. <\/span><\/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-70eeca6 e-flex e-con-boxed e-con\" data-id=\"70eeca6\" 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-2df8e80 elementor-widget elementor-widget-heading\" data-id=\"2df8e80\" 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\">NLU et Data Science<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-826b478 elementor-widget elementor-widget-text-editor\" data-id=\"826b478\" 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><span style=\"font-weight: 400;\">Le langage humain est particuli\u00e8rement complexe et subtil. Permettre \u00e0 un ordinateur d\u2019en comprendre toutes les nuances rel\u00e8vent v\u00e9ritablement de l\u2019exploit. Et pourtant, les derni\u00e8res avanc\u00e9es en mati\u00e8re d\u2019<a href=\"https:\/\/datascientest.com\/intelligence-artificielle-definition\">intelligence artificielle <\/a> nous d\u00e9montrent que les machines sont plus que jamais capables de comprendre et de s\u2019exprimer comme des humains. Pour les professionnels de la data, le NLU (natural language understanding) ouvre des perspectives prometteuses. Mais encore faut-il <a href=\"https:\/\/datascientest.com\/formation-data-scientist\">se former au machine learning<\/a> et \u00e0 ses derni\u00e8res technologies.<\/span><\/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-3f87c07 elementor-widget elementor-widget-image\" data-id=\"3f87c07\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"968\" height=\"600\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2023\/12\/Natural-Language-Understanding-3.jpg\" class=\"attachment-full size-full wp-image-226159\" alt=\"\" srcset=\"https:\/\/datascientest.com\/wp-content\/uploads\/2023\/12\/Natural-Language-Understanding-3.jpg 968w, https:\/\/datascientest.com\/wp-content\/uploads\/2023\/12\/Natural-Language-Understanding-3-300x186.jpg 300w, https:\/\/datascientest.com\/wp-content\/uploads\/2023\/12\/Natural-Language-Understanding-3-768x476.jpg 768w\" sizes=\"(max-width: 968px) 100vw, 968px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ec6cbad elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"ec6cbad\" 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-machine-learning-engineer\">\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\">Se former au NLU<\/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<div class=\"elementor-element elementor-element-ec5a12e elementor-widget elementor-widget-html\" data-id=\"ec5a12e\" data-element_type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<script type=\"application\/ld+json\">\r\n{\r\n  \"@context\": \"https:\/\/schema.org\",\r\n  \"@type\": \"FAQPage\",\r\n  \"mainEntity\": [{\r\n    \"@type\": \"Question\",\r\n    \"name\": \"Qu\u2019est-ce que le NLU ?\",\r\n    \"acceptedAnswer\": {\r\n      \"@type\": \"Answer\",\r\n      \"text\": \"Le NLU (ou natural language understanding) est une branche du traitement automatique du langage naturel (NLP) et de l'intelligence artificielle. L\u2019objectif \u00e9tant de saisir le sens profond d'un texte ou d'un discours oral. Mais il s\u2019agit de bien plus qu\u2019une simple analyse syntaxique. En s'appuyant sur des mod\u00e8les de machine learning avanc\u00e9s, le NLU est capable de d\u00e9crypter les connotations \u00e9motionnelles, les intentions sous-jacentes et les objectifs exprim\u00e9s \u00e0 l\u2019\u00e9crit ou \u00e0 l\u2019oral. En plus, le natural language understanding est programm\u00e9 pour comprendre le sens, malgr\u00e9 les erreurs humaines courantes (comme les fautes de prononciation, les fautes d\u2019orthographe ou les transpositions de lettres et de mots).\"\r\n    }\r\n  },{\r\n    \"@type\": \"Question\",\r\n    \"name\": \"COmment fonctionne le NLU ?\",\r\n    \"acceptedAnswer\": {\r\n      \"@type\": \"Answer\",\r\n      \"text\": \"Pour comprendre et saisir le sens d\u2019un texte ou d\u2019un discours, les syst\u00e8mes de natural language understanding (NLU) utilise deux techniques fondamentales :\r\n      La reconnaissance d'entit\u00e9s (ou tokens) : ici, le syst\u00e8me NLU d\u00e9finit plusieurs entit\u00e9s au sein du message. Parmi ces entit\u00e9s, on retrouve les entit\u00e9s nomm\u00e9es qui correspondent \u00e0 des cat\u00e9gories, comme les noms de personnes, les lieux, les objets, les signes de ponctuation, \u2026. Et les entit\u00e9s num\u00e9riques, comme les quantit\u00e9s, les dates, les devises, les pourcentages, \u2026. \u00c0 partir de l\u00e0, l\u2019ordinateur extrait les informations les plus importantes pour comprendre le sens du texte ou du discours.\r\n      La reconnaissance de l'intention : il s\u2019agit d'identifier le sentiment et l\u2019objectif de l'utilisateur. Pour cela, l\u2019ordinateur s\u2019attache \u00e0 la structure grammaticale des phrases et aux diff\u00e9rentes ambigu\u00eft\u00e9s possibles dans le sens des mots. C\u2019est sans doute la partie la plus importante au moment de comprendre le langage humain.\"\r\n    }\r\n  },{\r\n    \"@type\": \"Question\",\r\n    \"name\": \"NLU et data science\",\r\n    \"acceptedAnswer\": {\r\n      \"@type\": \"Answer\",\r\n      \"text\": \"Le langage humain est particuli\u00e8rement complexe et subtil. Permettre \u00e0 un ordinateur d\u2019en comprendre toutes les nuances rel\u00e8vent v\u00e9ritablement de l\u2019exploit. Et pourtant, les derni\u00e8res avanc\u00e9es en mati\u00e8re d\u2019intelligence artificielle nous d\u00e9montrent que les machines sont plus que jamais capables de comprendre et de s\u2019exprimer comme des humains. Pour les professionnels de la data, le NLU (natural language understanding) ouvre des perspectives prometteuses.\"\r\n    }\r\n  }]\r\n}\r\n<\/script>\r\n\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>Apparu pour la premi\u00e8re fois dans les ann\u00e9es 1960, le NLU (ou natural language understanding) a connu une \u00e9volution significative. Aujourd\u2019hui, les machines sont capables de saisir le sens profond et nuanc\u00e9 du langage humain. Parfois m\u00eame mieux que les \u00eatres humains eux-m\u00eames. D\u00e9couvrez cette technologie NLU, ces applications concr\u00e8tes et son mode de fonctionnement.&nbsp; [&hellip;]<\/p>\n","protected":false},"author":77,"featured_media":226126,"comment_status":"open","ping_status":"open","sticky":false,"template":"elementor_theme","format":"standard","meta":{"content-type":"","inline_featured_image":false},"categories":[2500],"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>NLU (Natural Language Understanding) : Qu&#039;est-ce que c&#039;est ?<\/title>\n<meta name=\"description\" content=\"Avec le NLU (Natural language understanding), les machines sont capables de comprendre pr\u00e9cis\u00e9ment les nuances du langage humain. D\u00e9couvrez cette technologie.\" \/>\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\/nlu-natural-language-understanding-tout-savoir\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"NLU (Natural Language Understanding) : Qu&#039;est-ce que c&#039;est ?\" \/>\n<meta property=\"og:url\" content=\"https:\/\/datascientest.com\/nlu-natural-language-understanding-tout-savoir\" \/>\n<meta property=\"og:site_name\" content=\"Formation Data Science | DataScientest.com\" \/>\n<meta property=\"article:published_time\" content=\"2024-02-16T06:30:00+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2024-03-14T15:04:55+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/datascientest.com\/wp-content\/uploads\/2023\/12\/Natural-Language-Understanding.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1050\" \/>\n\t<meta property=\"og:image:height\" content=\"600\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\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\/nlu-natural-language-understanding-tout-savoir\",\"url\":\"https:\/\/datascientest.com\/nlu-natural-language-understanding-tout-savoir\",\"name\":\"NLU (Natural Language Understanding) : Qu'est-ce que c'est ?\",\"isPartOf\":{\"@id\":\"https:\/\/datascientest.com\/#website\"},\"datePublished\":\"2024-02-16T06:30:00+00:00\",\"dateModified\":\"2024-03-14T15:04:55+00:00\",\"author\":{\"@id\":\"https:\/\/datascientest.com\/#\/schema\/person\/6eca16f63daaafcbc96e15549b9d4ee1\"},\"description\":\"Avec le NLU (Natural language understanding), les machines sont capables de comprendre pr\u00e9cis\u00e9ment les nuances du langage humain. 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