{"id":2605,"date":"2019-12-05T16:40:33","date_gmt":"2019-12-05T21:40:33","guid":{"rendered":"http:\/\/skimai.com\/?p=2605"},"modified":"2024-05-20T07:38:37","modified_gmt":"2024-05-20T12:38:37","slug":"modelisation-thematique-pour-les-chefs-de-produit","status":"publish","type":"post","link":"https:\/\/skimai.com\/fr\/topic-modeling-for-product-managers\/","title":{"rendered":"Mod\u00e9lisation th\u00e9matique pour les gestionnaires de produits"},"content":{"rendered":"<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_82_1 counter-hierarchy ez-toc-counter ez-toc-grey ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">Table des mati\u00e8res<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" aria-label=\"Toggle Table des mati\u00e8res\"><span class=\"ez-toc-js-icon-con\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #999;color:#999\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewbox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #999;color:#999\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewbox=\"0 0 24 24\" version=\"1.2\" baseprofile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/span><\/a><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1' ><li class='ez-toc-page-1 ez-toc-heading-level-1'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/skimai.com\/fr\/topic-modeling-for-product-managers\/#Topic_Modeling_for_Product_Managers\" >Mod\u00e9lisation th\u00e9matique pour les gestionnaires de produits<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-1'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/skimai.com\/fr\/topic-modeling-for-product-managers\/#What_is_Topic_Modeling\" >Qu'est-ce que la mod\u00e9lisation th\u00e9matique ?<\/a><ul class='ez-toc-list-level-2' ><li class='ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/skimai.com\/fr\/topic-modeling-for-product-managers\/#The_Difference_Between_Unsupervised_vs_Supervised_Learning\" >La diff\u00e9rence entre l'apprentissage non supervis\u00e9 et l'apprentissage supervis\u00e9<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/skimai.com\/fr\/topic-modeling-for-product-managers\/#The_Benefits_of_Supervised_Learning_for_Product_Managers\" >Les avantages de l'apprentissage supervis\u00e9 pour les chefs de produit<\/a><\/li><\/ul><\/li><\/ul><\/nav><\/div>\n<h1><span class=\"ez-toc-section\" id=\"Topic_Modeling_for_Product_Managers\"><\/span>Mod\u00e9lisation th\u00e9matique pour les gestionnaires de produits<span class=\"ez-toc-section-end\"><\/span><\/h1>\n<pre><code>        <h1><span class=\"ez-toc-section\" id=\"What_is_Topic_Modeling\"><\/span>Qu'est-ce que la mod\u00e9lisation th\u00e9matique ?<span class=\"ez-toc-section-end\"><\/span><\/h1>        \n    La mod\u00e9lisation th\u00e9matique est un type de traitement du langage naturel (NLP) utilis\u00e9 pour trouver des \"sujets\", c'est-\u00e0-dire des mots ou des groupes de mots qui reviennent souvent, dans un ensemble de documents. Les mod\u00e8les th\u00e9matiques sont essentiels pour les chefs de produit car ils leur permettent de trier et d'analyser les \u00e9normes quantit\u00e9s de donn\u00e9es textuelles avec lesquelles ils doivent travailler. Les gestionnaires de produits ont besoin de mod\u00e8les th\u00e9matiques pour plusieurs t\u00e2ches, telles que :<\/p><ul><li>Analyser un grand nombre d'avis pour savoir ce que les clients disent de leurs produits.<\/li><li>Comprendre les caract\u00e9ristiques des produits dont parlent les clients.<\/li><li>Obtenir des informations sur les nouvelles fonctionnalit\u00e9s souhait\u00e9es par les clients.<\/li><li>Conna\u00eetre l'opinion des clients sur leur produit par le biais des m\u00e9dias sociaux.<\/li><\/ul><p>D'une certaine mani\u00e8re, la mod\u00e9lisation th\u00e9matique est similaire \u00e0 la mod\u00e9lisation des sentiments : il s'agit dans les deux cas d'algorithmes NLP permettant d'analyser de grands volumes de texte. Alors que les mod\u00e8les de sentiment cherchent \u00e0 d\u00e9terminer si un texte est positif ou n\u00e9gatif, les mod\u00e8les de sujet cherchent \u00e0 d\u00e9terminer le sujet d'un texte. Les mod\u00e8les th\u00e9matiques recherchent dans un ensemble de documents les mots ou les phrases qui reviennent le plus souvent dans chaque document, puis \u00e9tablissent des corr\u00e9lations crois\u00e9es pour d\u00e9terminer les mots et les phrases qui reviennent le plus souvent dans chaque document et dans l'ensemble des documents. Dans le cadre de l'\u00e9tude de la mod\u00e9lisation th\u00e9matique pour les chefs de produit en particulier, il est important de se pencher sur le type d'apprentissage \u00e0 appliquer.<\/p>       \n        <h2><span class=\"ez-toc-section\" id=\"The_Difference_Between_Unsupervised_vs_Supervised_Learning\"><\/span>La diff\u00e9rence entre l'apprentissage non supervis\u00e9 et l'apprentissage supervis\u00e9<span class=\"ez-toc-section-end\"><\/span><\/h2>        \n    <p>La plupart des algorithmes de mod\u00e9lisation de sujets sont form\u00e9s \u00e0 l'aide de l'apprentissage non supervis\u00e9. Le terme \"non supervis\u00e9\" signifie simplement que l'algorithme est form\u00e9 sur un grand ensemble de donn\u00e9es non \u00e9tiquet\u00e9es. L'apprentissage non supervis\u00e9 pr\u00e9sente de nombreux avantages :<\/p><ul><li>Formation et temps de calcul rapides.<\/li><li>S\u00e9lection robuste de sujets non limit\u00e9e par des sujets pr\u00e9d\u00e9finis.<\/li><li>Plus grande pr\u00e9cision du mod\u00e8le dans la recherche de tous les sujets pertinents.<\/li><\/ul><p>Cependant, malgr\u00e9 ses avantages, l'apprentissage non supervis\u00e9 peut entra\u00eener une perte de pr\u00e9cision, voire des r\u00e9sultats inexacts ou non pertinents lors de l'analyse de donn\u00e9es relatives \u00e0 un produit sp\u00e9cifique.<\/code><\/pre>\n<p>\u00a0<\/p>\n<p>Contrairement \u00e0 l'apprentissage non supervis\u00e9, l'apprentissage supervis\u00e9 consiste \u00e0 former le mod\u00e8le th\u00e9matique \u00e0 l'aide de donn\u00e9es \u00e9tiquet\u00e9es. Il s'agit de choisir un ensemble de sujets que l'algorithme doit d\u00e9tecter. Ce type d'apprentissage consiste \u00e0 donner au mod\u00e8le th\u00e9matique un ensemble de sujets pr\u00e9d\u00e9termin\u00e9s \u00e0 rechercher. Si l'apprentissage supervis\u00e9 pr\u00e9sente l'inconv\u00e9nient d'\u00eatre plus long et de risquer de passer \u00e0 c\u00f4t\u00e9 de sujets cl\u00e9s autres que ceux choisis, il a ses propres avantages :<\/p>\n<ul>\n<li>La possibilit\u00e9 de rechercher des sujets sp\u00e9cifiques.<\/li>\n<li>La possibilit\u00e9 de choisir le nombre de sujets \u00e0 rechercher.<\/li>\n<li>Plus grande pr\u00e9cision du mod\u00e8le dans la recherche des bons sujets.<\/li>\n<\/ul>\n<h2><span class=\"ez-toc-section\" id=\"The_Benefits_of_Supervised_Learning_for_Product_Managers\"><\/span>Les avantages de l'apprentissage supervis\u00e9 pour les chefs de produit<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<pre><code>    <p>Si l'on consid\u00e8re l'apprentissage th\u00e9matique pour les gestionnaires de produits, le type de formation le plus efficace pour leurs mod\u00e8les th\u00e9matiques est l'apprentissage supervis\u00e9. Pour la r\u00e9daction d'un article de recherche, par exemple, l'apprentissage non supervis\u00e9 est optimal car il permet de d\u00e9couvrir les sujets les plus courants et le contexte dans lequel ils sont utilis\u00e9s. D'un autre c\u00f4t\u00e9, un chef de produit sait d\u00e9j\u00e0 quels sont les sujets \u00e0 rechercher. Plut\u00f4t que des connaissances g\u00e9n\u00e9rales sur les th\u00e8mes des documents, il doit trouver des donn\u00e9es sp\u00e9cifiques \u00e0 son produit. En r\u00e8gle g\u00e9n\u00e9rale, il sait d\u00e9j\u00e0 quelles sont les informations dont il a besoin au sujet de son produit et c'est en l'entra\u00eenant sur ces informations qu'il obtiendra les donn\u00e9es les plus utiles d'un mod\u00e8le th\u00e9matique. Les avantages de l'utilisation de l'apprentissage supervis\u00e9 pour la mod\u00e9lisation de sujets pour les gestionnaires de produits sont les suivants :<\/p><ul><li>L'apprentissage supervis\u00e9 donne de meilleurs r\u00e9sultats lorsque l'on travaille avec des documents industriels et d'actualit\u00e9.<\/li><li>L'apprentissage supervis\u00e9 limite la port\u00e9e des sujets mod\u00e9lis\u00e9s aux seuls sujets relatifs au produit sp\u00e9cifique.<\/li><li>L'apprentissage supervis\u00e9 conduit \u00e0 des sujets pertinents pour le cas d'utilisation du chef de produit, tels que les sujets d'examen par rapport aux sujets de caract\u00e9ristiques.<\/li><\/ul><p>En r\u00e9sum\u00e9, les mod\u00e8les th\u00e9matiques constituent un algorithme de NLP permettant de trouver les mots et les phrases les plus courants dans un large ensemble de documents. Les mod\u00e8les th\u00e9matiques peuvent \u00eatre form\u00e9s par apprentissage non supervis\u00e9 et supervis\u00e9. Bien que les deux types d'apprentissage aient leurs avantages, la mod\u00e9lisation th\u00e9matique pour les gestionnaires de produits a tout \u00e0 gagner \u00e0 utiliser l'apprentissage supervis\u00e9 pour leurs mod\u00e8les th\u00e9matiques.<\/code><\/pre>\n<p>\u00a0<\/p>\n<p>Pr\u00eat \u00e0 commencer ? Consultez notre article sur <a href=\"http:\/\/skimai.com\/fr\/10-bonnes-pratiques-pour-le-stockage-des-donnees-etiquetees\/\">10 bonnes pratiques pour le stockage des donn\u00e9es \u00e9tiquet\u00e9es<\/a> pour vous assurer que vous disposez d'un ensemble de donn\u00e9es solide et bien organis\u00e9 pour votre mod\u00e8le th\u00e9matique supervis\u00e9.<\/p>","protected":false},"excerpt":{"rendered":"<p>Topic Modeling for Product Managers What is Topic Modeling? Topic modeling is a type of natural language processing (NLP) used to find \u201ctopics,\u201d or commonly occurring words or groups of words, within a set of documents. Topic models are critical to product managers because they enable them to sort and analyze the huge amounts of [&hellip;]<\/p>\n","protected":false},"author":1003,"featured_media":2610,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"single-custom-post-template.php","format":"standard","meta":{"_et_pb_use_builder":"","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"categories":[125,67,78],"tags":[79,75,91],"class_list":["post-2605","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-enterprise-ai-blog","category-ml-nlp","category-ai-project-management","tag-how-to","tag-nlp","tag-topic-modeling"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v24.1 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Topic Modeling for Product Managers - A Beginner&#039;s Guide - by Skim AI<\/title>\n<meta name=\"description\" content=\"&quot;How to&quot; guide for project managers that want to use Topic Modeling to make sense of data by organizing and categorizing data into topics\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/skimai.com\/fr\/modelisation-thematique-pour-les-chefs-de-produit\/\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Topic Modeling for Product Managers - A Beginner&#039;s Guide - by Skim AI\" \/>\n<meta property=\"og:description\" content=\"&quot;How to&quot; guide for project managers that want to use Topic Modeling to make sense of data by organizing and categorizing data into topics\" \/>\n<meta property=\"og:url\" content=\"https:\/\/skimai.com\/fr\/modelisation-thematique-pour-les-chefs-de-produit\/\" \/>\n<meta property=\"og:site_name\" content=\"Skim AI\" \/>\n<meta property=\"article:published_time\" content=\"2019-12-05T21:40:33+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2024-05-20T12:38:37+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/skimai.com\/wp-content\/uploads\/2019\/12\/topic-modeling-for-product-managers.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"2999\" \/>\n\t<meta property=\"og:image:height\" content=\"1999\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Greggory Elias\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"\u00c9crit par\" \/>\n\t<meta name=\"twitter:data1\" content=\"Greggory Elias\" \/>\n\t<meta name=\"twitter:label2\" content=\"Dur\u00e9e de lecture estim\u00e9e\" \/>\n\t<meta name=\"twitter:data2\" content=\"3 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/skimai.com\/topic-modeling-for-product-managers\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/skimai.com\/topic-modeling-for-product-managers\/\"},\"author\":{\"name\":\"Greggory Elias\",\"@id\":\"https:\/\/skimai.com\/uk\/#\/schema\/person\/7a883b4a2d2ea22040f42a7975eb86c6\"},\"headline\":\"Topic Modeling for Product Managers\",\"datePublished\":\"2019-12-05T21:40:33+00:00\",\"dateModified\":\"2024-05-20T12:38:37+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/skimai.com\/topic-modeling-for-product-managers\/\"},\"wordCount\":150,\"publisher\":{\"@id\":\"https:\/\/skimai.com\/uk\/#organization\"},\"image\":{\"@id\":\"https:\/\/skimai.com\/topic-modeling-for-product-managers\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/skimai.com\/wp-content\/uploads\/2019\/12\/topic-modeling-for-product-managers.jpg\",\"keywords\":[\"how to\",\"nlp\",\"topic modeling\"],\"articleSection\":[\"Enterprise AI\",\"LLMs \/ NLP\",\"Project Management\"],\"inLanguage\":\"fr-FR\"},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/skimai.com\/topic-modeling-for-product-managers\/\",\"url\":\"https:\/\/skimai.com\/topic-modeling-for-product-managers\/\",\"name\":\"Topic Modeling for Product Managers - 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