{"id":878,"date":"2025-01-31T04:54:00","date_gmt":"2025-01-01T09:00:00","guid":{"rendered":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/r\/definition_reconnaissance-d-entites-nommees-ner\/"},"modified":"2025-06-06T00:17:07","modified_gmt":"2025-06-05T22:17:07","slug":"definition-reconnaissance-d-entites-nommees-ner","status":"publish","type":"post","link":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/r\/definition-reconnaissance-d-entites-nommees-ner\/","title":{"rendered":"Reconnaissance d&rsquo;entit\u00e9s nomm\u00e9es"},"content":{"rendered":"<p>La reconnaissance d&rsquo;entit\u00e9s nomm\u00e9es (NER) est une technique cruciale en intelligence artificielle et en prompt engineering. Qu\u2019est-ce que la reconnaissance d&rsquo;entit\u00e9s nomm\u00e9es (NER) ? C&rsquo;est un processus automatique qui identifie et classifie des \u00e9l\u00e9ments textuels sp\u00e9cifiques, tels que les noms de personnes, d&rsquo;organisations, de lieux, de dates, etc., au sein d&rsquo;un texte.<\/p>\n<h3>Comment fonctionne la Reconnaissance d&rsquo;entit\u00e9s nomm\u00e9es (NER) ?<\/h3>\n<p>Imaginez que vous lisiez un article de journal. Votre cerveau rep\u00e8re automatiquement les noms de personnes, les lieux et les dates. La NER fait la m\u00eame chose pour un ordinateur.  Elle utilise des algorithmes d&rsquo;apprentissage automatique pour analyser le texte et extraire ces entit\u00e9s nomm\u00e9es, en les cat\u00e9gorisant selon des \u00e9tiquettes pr\u00e9d\u00e9finies. Par exemple, dans la phrase \u00ab\u00a0Marie Curie a re\u00e7u le prix Nobel en 1903\u00a0\u00bb, la NER identifierait \u00ab\u00a0Marie Curie\u00a0\u00bb comme une personne, \u00ab\u00a0prix Nobel\u00a0\u00bb comme un prix et \u00ab\u00a01903\u00a0\u00bb comme une date.<\/p>\n<h3>Pourquoi la Reconnaissance d&rsquo;entit\u00e9s nomm\u00e9es (NER) est-elle importante ?<\/h3>\n<p>La NER est essentielle pour de nombreuses applications en IA et en prompt engineering. Elle permet d&rsquo;am\u00e9liorer la compr\u00e9hension du langage naturel par les machines, ouvrant la voie \u00e0 des syst\u00e8mes plus performants.  Par exemple, dans les chatbots, la NER permet de comprendre les requ\u00eates des utilisateurs faisant r\u00e9f\u00e9rence \u00e0 des noms de produits ou de lieux sp\u00e9cifiques.  Dans les moteurs de recherche, elle aide \u00e0 affiner les r\u00e9sultats en identifiant les entit\u00e9s cl\u00e9s d&rsquo;une requ\u00eate. L&rsquo;analyse des sentiments peut \u00e9galement b\u00e9n\u00e9ficier de la NER, en permettant de relier des opinions \u00e0 des entit\u00e9s sp\u00e9cifiques.  Par exemple, identifier qu&rsquo;un commentaire n\u00e9gatif est associ\u00e9 \u00e0 un produit particulier.<\/p>\n<h3>Termes associ\u00e9s<\/h3>\n<ul id=\"TermesAssocies\">\n<li><a href=\"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/?s=Traitement+du+langage+naturel+%28NLP%29\">Traitement du langage naturel (NLP)<\/a><\/li>\n<li><a href=\"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/?s=Apprentissage+automatique+%28Machine+Learning%29\">Apprentissage automatique (Machine Learning)<\/a><\/li>\n<li><a href=\"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/?s=Prompt+Engineering\">Prompt Engineering<\/a><\/li>\n<li><a href=\"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/?s=Analyse+syntaxique\">Analyse syntaxique<\/a><\/li>\n<li><a href=\"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/?s=Extraction+d%27information\">Extraction d&rsquo;information<\/a><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>La reconnaissance d&rsquo;entit\u00e9s nomm\u00e9es (NER) est une technique cruciale en intelligence artificielle et en prompt engineering. Qu\u2019est-ce que la reconnaissance d&rsquo;entit\u00e9s nomm\u00e9es (NER) ? C&rsquo;est un processus automatique qui identifie et classifie des \u00e9l\u00e9ments textuels sp\u00e9cifiques, tels que les noms de personnes, d&rsquo;organisations, de lieux, de dates, etc., au sein d&rsquo;un texte. Comment fonctionne la [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_uag_custom_page_level_css":"","site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"categories":[59],"tags":[341,16,205,12,215,53],"class_list":["post-878","post","type-post","status-publish","format-standard","hentry","category-r","tag-analyse-syntaxique","tag-apprentissage-automatique-machine-learning","tag-extraction-dinformation","tag-prompt-engineering","tag-reconnaissance-dentites-nommees-ner","tag-traitement-du-langage-naturel-nlp"],"uagb_featured_image_src":{"full":false,"thumbnail":false,"medium":false,"medium_large":false,"large":false,"1536x1536":false,"2048x2048":false},"uagb_author_info":{"display_name":"bruno.peaumier@gmail.com","author_link":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/author\/bruno-peaumiergmail-com\/"},"uagb_comment_info":0,"uagb_excerpt":"La reconnaissance d&rsquo;entit\u00e9s nomm\u00e9es (NER) est une technique cruciale en intelligence artificielle et en prompt engineering. Qu\u2019est-ce que la reconnaissance d&rsquo;entit\u00e9s nomm\u00e9es (NER) ? C&rsquo;est un processus automatique qui identifie et classifie des \u00e9l\u00e9ments textuels sp\u00e9cifiques, tels que les noms de personnes, d&rsquo;organisations, de lieux, de dates, etc., au sein d&rsquo;un texte. Comment fonctionne la\u2026","_links":{"self":[{"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/posts\/878","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/comments?post=878"}],"version-history":[{"count":2,"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/posts\/878\/revisions"}],"predecessor-version":[{"id":1119,"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/posts\/878\/revisions\/1119"}],"wp:attachment":[{"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/media?parent=878"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/categories?post=878"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/tags?post=878"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}