{"id":2536,"date":"2019-11-06T13:47:30","date_gmt":"2019-11-06T13:47:30","guid":{"rendered":"http:\/\/skimai.com\/?p=2536"},"modified":"2024-08-31T16:29:34","modified_gmt":"2024-08-31T21:29:34","slug":"selection-dun-ensemble-de-donnees-danalyse-des-sentiments","status":"publish","type":"post","link":"https:\/\/skimai.com\/fr\/selecting-a-sentiment-analysis-dataset\/","title":{"rendered":"Ce qu'il faut savoir avant de choisir un ensemble de donn\u00e9es pour l'analyse des sentiments"},"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\/selecting-a-sentiment-analysis-dataset\/#What_You_Should_Know_Before_You_Select_a_Sentiment_Analysis_Dataset\" >Ce qu'il faut savoir avant de choisir un ensemble de donn\u00e9es pour l'analyse des sentiments<\/a><ul class='ez-toc-list-level-2' ><li class='ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/skimai.com\/fr\/selecting-a-sentiment-analysis-dataset\/#Why_do_you_need_a_sentiment_analysis_dataset_for_training\" >Pourquoi avez-vous besoin d'un ensemble de donn\u00e9es d'analyse des sentiments pour la formation ?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/skimai.com\/fr\/selecting-a-sentiment-analysis-dataset\/#Primary_Training_Datasets_IMDB_and_Amazon_Review_Databases\" >Jeux de donn\u00e9es d'entra\u00eenement primaires : Bases de donn\u00e9es de commentaires IMDB et Amazon<\/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\/selecting-a-sentiment-analysis-dataset\/#Limitations_in_Applicability_of_the_IMDB_and_Amazon_Sentiment_Analysis_Datasets\" >Limites de l'applicabilit\u00e9 des ensembles de donn\u00e9es d'analyse de sentiments de l'IMDB et d'Amazon<\/a><\/li><\/ul><\/li><\/ul><\/nav><\/div>\n<h1><span class=\"ez-toc-section\" id=\"What_You_Should_Know_Before_You_Select_a_Sentiment_Analysis_Dataset\"><\/span>Ce qu'il faut savoir avant de choisir un<br \/>Ensemble de donn\u00e9es pour l'analyse des sentiments<span class=\"ez-toc-section-end\"><\/span><\/h1>\n<pre><code>    <h2><span class=\"ez-toc-section\" id=\"Why_do_you_need_a_sentiment_analysis_dataset_for_training\"><\/span><strong>Pourquoi avez-vous besoin d'un ensemble de donn\u00e9es d'analyse des sentiments pour la formation ?<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>Les mod\u00e8les de sentiment sont un type d'algorithme de traitement du langage naturel (NLP) qui d\u00e9termine la polarit\u00e9 d'un texte. En d'autres termes, un mod\u00e8le de sentiment pr\u00e9dit si l'opinion exprim\u00e9e dans un texte est positive, n\u00e9gative ou neutre. Ces mod\u00e8les constituent un outil puissant permettant d'obtenir des informations sur de vastes ensembles de donn\u00e9es bas\u00e9es sur les opinions, telles que les messages des m\u00e9dias sociaux et les commentaires sur les produits. Par exemple, un vendeur sur la place de march\u00e9 Amazon peut utiliser un mod\u00e8le de sentiment pour \u00e9valuer rapidement des milliers d'avis et mesurer la satisfaction des clients \u00e0 l'\u00e9gard de ses produits. Les mod\u00e8les de sentiment peuvent \u00e9galement \u00eatre utilis\u00e9s pour pr\u00e9dire les avis sur un nouveau produit en comparant les m\u00e9tadonn\u00e9es du produit \u00e0 des produits similaires et en analysant les avis sur ces produits.<\/code><\/pre>\n<p>\u00a0<\/p>\n<p>Comme tous les algorithmes d'apprentissage automatique, les mod\u00e8les d'analyse des sentiments n\u00e9cessitent de vastes ensembles de donn\u00e9es d'entra\u00eenement \u00e9tiquet\u00e9es pour \u00eatre d\u00e9velopp\u00e9s et mis au point, \u00e9galement appel\u00e9s ensembles de donn\u00e9es d'analyse des sentiments d'entra\u00eenement. La premi\u00e8re \u00e9tape du d\u00e9veloppement d'un mod\u00e8le n\u00e9cessite un ensemble de donn\u00e9es d'analyse des sentiments compos\u00e9 de dizaines de milliers d'affirmations d\u00e9j\u00e0 \u00e9tiquet\u00e9es comme positives, n\u00e9gatives ou neutres. Il est difficile de trouver des donn\u00e9es de formation, car un expert humain doit d\u00e9terminer et \u00e9tiqueter la polarit\u00e9 de chaque \u00e9nonc\u00e9 dans les donn\u00e9es de formation. Le fait de disposer d'un ensemble de donn\u00e9es de formation d\u00e9j\u00e0 \u00e9tiquet\u00e9es r\u00e9duit consid\u00e9rablement le temps et les efforts n\u00e9cessaires au d\u00e9veloppement d'un mod\u00e8le de sentiment. Les bases de donn\u00e9es de sentiments fr\u00e9quemment utilis\u00e9es pour la formation sont la base de donn\u00e9es des films sur Internet (IMDB) et les bases de donn\u00e9es d'avis d'Amazon.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Primary_Training_Datasets_IMDB_and_Amazon_Review_Databases\"><\/span><strong>Jeux de donn\u00e9es d'entra\u00eenement primaires : Bases de donn\u00e9es de commentaires IMDB et Amazon<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Les bases de donn\u00e9es de critiques IMDB et Amazon sont presque id\u00e9ales pour l'apprentissage des mod\u00e8les de sentiments (nous reviendrons plus loin sur leurs limites), car il s'agit d'ensembles de donn\u00e9es pr\u00eats \u00e0 l'emploi de sentiments facilement \u00e9tiquet\u00e9s. La polarit\u00e9 de ces critiques peut \u00eatre d\u00e9termin\u00e9e en segmentant les critiques par score. Pour la base de donn\u00e9es IMBD, les avis de 0 \u00e0 3 \u00e9toiles sont g\u00e9n\u00e9ralement consid\u00e9r\u00e9s comme n\u00e9gatifs, de 4 \u00e0 6 \u00e9toiles comme neutres et de 7 \u00e0 10 \u00e9toiles comme positifs. De m\u00eame, pour les commentaires d'Amazon, 1 \u00e0 2 \u00e9toiles sont n\u00e9gatives, 3 \u00e9toiles sont neutres et 4 \u00e0 5 \u00e9toiles sont positives. Cependant, la base de donn\u00e9es des critiques Amazon n'est pas aussi populaire, car une \u00e9valuation de 1 \u00e0 5 n'a pas la fid\u00e9lit\u00e9 d'un syst\u00e8me de 1 \u00e0 10 et l'ensemble de donn\u00e9es Amazon est plus complexe et donc plus difficile \u00e0 utiliser.<\/p>\n<p>\u00a0<\/p>\n<p>La base de donn\u00e9es IMDB a \u00e9t\u00e9 utilis\u00e9e dans un grand nombre d'\u00e9tudes universitaires, de tutoriels et de codes open-source. L'ensemble de donn\u00e9es IMDB standard contient 50 000 critiques, avec un nombre \u00e9gal de critiques positives et n\u00e9gatives. En g\u00e9n\u00e9ral, la base de donn\u00e9es IMDB est plus populaire que la base de donn\u00e9es Amazon, car elle fournit un ensemble de donn\u00e9es plus petit et plus facile \u00e0 manipuler. L'ensemble de donn\u00e9es IMDB est un outil puissant pour d\u00e9velopper les comp\u00e9tences n\u00e9cessaires \u00e0 l'\u00e9laboration de mod\u00e8les de sentiments plus avanc\u00e9s.<\/p>\n<p>\u00a0<\/p>\n<p>L'ensemble de donn\u00e9es d'\u00e9valuation d'Amazon pr\u00e9sente l'avantage de la taille et de la complexit\u00e9. Amazon compile des avis depuis plus de 20 ans et offre un ensemble de donn\u00e9es de plus de 130 millions de sentiments \u00e9tiquet\u00e9s. L'ensemble de donn\u00e9es Amazon pr\u00e9sente \u00e9galement l'avantage de contenir des avis dans plusieurs langues. L'ensemble de donn\u00e9es d'Amazon fournit en outre des avis \u00e9tiquet\u00e9s comme \"faux\" ou biais\u00e9s. En raison de sa taille et de sa complexit\u00e9, l'ensemble de donn\u00e9es Amazon permet de d\u00e9velopper des mod\u00e8les de sentiments plus sophistiqu\u00e9s. L'ensemble de donn\u00e9es Amazon offre en outre une plus grande utilit\u00e9, \u00e9tant donn\u00e9 que la pr\u00e9diction des performances d'un produit par le biais de la mod\u00e9lisation des sentiments est un \u00e9l\u00e9ment essentiel de la mise sur le march\u00e9 d'un produit moderne.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Limitations_in_Applicability_of_the_IMDB_and_Amazon_Sentiment_Analysis_Datasets\"><\/span><strong>Limites de l'applicabilit\u00e9 des ensembles de donn\u00e9es d'analyse de sentiments de l'IMDB et d'Amazon<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>M\u00eame si ces bases de donn\u00e9es permettent d'\u00e9conomiser du temps et des efforts pour la formation de mod\u00e8les de sentiments, elles ne sont pas sans limites. \u00c9tant donn\u00e9 la nature quantitative des critiques, l'application des mod\u00e8les form\u00e9s \u00e0 l'aide de ces bases de donn\u00e9es \u00e0 des opinions qualitatives, telles que les tweets, entra\u00eene une perte de pr\u00e9cision. En outre, pour la base de donn\u00e9es IMBD, les critiques sont tr\u00e8s subjectives par rapport aux pr\u00e9f\u00e9rences des spectateurs, ce qui peut fausser les r\u00e9sultats. De m\u00eame, pour la base de donn\u00e9es Amazon, les avis biais\u00e9s ou \"faux\" sont fr\u00e9quents. Une autre complication de toute base de donn\u00e9es de sentiments est l'incapacit\u00e9 inn\u00e9e du mod\u00e8le \u00e0 reconna\u00eetre le sarcasme, qui peut \u00eatre courant dans les commentaires.<\/p>\n<p>En outre, les mots cl\u00e9s (caract\u00e9ristiques) trouv\u00e9s au cours du processus de formation sont limit\u00e9s lorsqu'il s'agit d'examens. Les critiques ont souvent tendance \u00e0 \u00eatre r\u00e9p\u00e9titives et \u00e0 contenir un sous-ensemble limit\u00e9 de termes cl\u00e9s. En outre, les critiques contiennent des termes peu courants dans les avis habituels, tels que \"weak soundtrack\" (bande sonore faible). En raison du caract\u00e8re unique de certains termes cl\u00e9s et du manque de diversit\u00e9 des termes cl\u00e9s, l'application de mod\u00e8les de sentiments form\u00e9s sur ces bases de donn\u00e9es peut conduire \u00e0 des r\u00e9sultats sous-optimaux. Par exemple, si une entreprise souhaite utiliser un mod\u00e8le de sentiment pour pr\u00e9dire la r\u00e9action \u00e0 un changement de politique, un mod\u00e8le form\u00e9 sur une base de donn\u00e9es d'avis aura du mal \u00e0 faire cette pr\u00e9diction, \u00e9tant donn\u00e9 que la r\u00e9action ne sera pas une \u00e9valuation quantitative d'un produit.<\/p>\n<p>En r\u00e9sum\u00e9, les mod\u00e8les de sentiments sont un outil puissant pour les entreprises modernes, et ces mod\u00e8les n\u00e9cessitent un grand ensemble de donn\u00e9es d'analyse de sentiments pour la formation. Les bases de donn\u00e9es de commentaires IMDB et Amazon sont deux bases de donn\u00e9es de sentiments courantes et facilement accessibles qui sont populaires pour l'entra\u00eenement des mod\u00e8les de sentiments. Bien qu'ils constituent un outil utile pour l'apprentissage des mod\u00e8les de sentiments, ces ensembles de donn\u00e9es pr\u00e9sentent des inconv\u00e9nients qu'il convient de prendre en compte.<\/p>\n<p>\u00a0<\/p>\n<p>\u00a0<\/p>\n<p>\u00a0<\/p>\n<p>Vous souhaitez en savoir plus sur le cas d'utilisation ML de Skim AI ? En savoir plus <a href=\"http:\/\/skimai.com\/fr\/50000-sites-web-et-10000-heures\/\">ici<\/a>.<\/p>","protected":false},"excerpt":{"rendered":"<p>Chaque mod\u00e8le de sentiment n\u00e9cessite des donn\u00e9es d'entra\u00eenement, appel\u00e9es ensemble de donn\u00e9es d'analyse de sentiment. Il y a plusieurs choses que vous devez savoir avant de d\u00e9cider quel ensemble de donn\u00e9es populaires utiliser.<\/p>","protected":false},"author":1003,"featured_media":8152,"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":[67,78],"tags":[92,75,90],"class_list":["post-2536","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ml-nlp","category-ai-project-management","tag-data","tag-nlp","tag-sentiment-analysis"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v24.1 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>How to Select a Sentiment Analysis Dataset - by Skim AI<\/title>\n<meta name=\"description\" content=\"What to know before you pick a dataset for sentiment analysis. 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