{"id":8217,"date":"2020-09-07T08:49:23","date_gmt":"2020-09-07T08:49:23","guid":{"rendered":"https:\/\/datascientest.com\/?p=8217"},"modified":"2023-11-09T14:12:27","modified_gmt":"2023-11-09T14:12:27","slug":"machine-learning-sentiment-analysis","status":"publish","type":"post","link":"https:\/\/datascientest.com\/machine-learning-sentiment-analysis","title":{"rendered":"Sentiment Analysis et Machine Learning"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"8217\" class=\"elementor elementor-8217\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-c459f2d elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"c459f2d\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-d86d3bd\" data-id=\"d86d3bd\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-2f63c3d elementor-widget elementor-widget-text-editor\" data-id=\"2f63c3d\" 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<h2><b>L\u2019analyse de sentiments est une technique qui s\u2019est fortement d\u00e9velopp\u00e9e en m\u00eame temps que les r\u00e9seaux sociaux<\/b><b>,<\/b><b> o\u00f9 les utilisateurs ont la possibilit\u00e9 de s\u2019exprimer massivement et de partager en permanence leurs sentiments. L\u2019analyse de sentiment (ou <\/b><b><i>sentiment analysis <\/i><\/b><b>en anglais) vise donc \u00e0 d\u00e9terminer la tonalit\u00e9 \u00e9motionnelle d\u2019un discours en le classifiant dans diff\u00e9rentes cat\u00e9gories comme positif, n\u00e9gatif ou neutre par exemple.<\/b><\/h2>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-1cf0010 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"1cf0010\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-2075b1b\" data-id=\"2075b1b\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-8163730 elementor-widget elementor-widget-text-editor\" data-id=\"8163730\" 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;\">Elle est pris\u00e9e par des<\/span><b> acteurs vari\u00e9s<\/b><span style=\"font-weight: 400;\"> que ce soit le politicien en pleine campagne \u00e9lectorale ou encore des entreprises pr\u00eates \u00e0 lancer un nouveau produit, pour ne citer qu\u2019eux.<\/span><\/p><p><span style=\"font-weight: 400;\">Le politicien voudra tester sa cote de popularit\u00e9 aupr\u00e8s des \u00e9lecteurs tandis que l\u2019entreprise cherchera \u00e0 \u00e9valuer l\u2019accueil de son produit aupr\u00e8s du public.<\/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<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-eb8734e elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"eb8734e\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-b755a7b\" data-id=\"b755a7b\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-1774195 elementor-widget elementor-widget-image\" data-id=\"1774195\" 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<figure class=\"wp-caption\">\n\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"400\" height=\"200\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2020\/09\/data_geniale_Plan-de-travail-1.png\" class=\"attachment-full size-full wp-image-8235\" alt=\"sentiments datascientest\" srcset=\"https:\/\/datascientest.com\/wp-content\/uploads\/2020\/09\/data_geniale_Plan-de-travail-1.png 400w, https:\/\/datascientest.com\/wp-content\/uploads\/2020\/09\/data_geniale_Plan-de-travail-1-300x150.png 300w\" sizes=\"(max-width: 400px) 100vw, 400px\" \/>\t\t\t\t\t\t\t\t\t\t\t<figcaption class=\"widget-image-caption wp-caption-text\">fig. : exemple de phrase \u00e0 analyser<\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-2f24351 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"2f24351\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-61da49f\" data-id=\"61da49f\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-00bfbc9 elementor-widget elementor-widget-text-editor\" data-id=\"00bfbc9\" 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<h2><b>Mais en quoi consiste r\u00e9ellement le Sentiment Analysis et comment les Data Scientist utilisent-ils les techniques de Machine Learning pour d\u00e9crypter la tonalit\u00e9 \u00e9motionnelle d\u2019un discours\u00a0 ?<\/b><\/h2>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-aa3e79e elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"aa3e79e\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-23e812a\" data-id=\"23e812a\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-ee0f0ac elementor-widget elementor-widget-heading\" data-id=\"ee0f0ac\" 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><h3 class=\"elementor-heading-title elementor-size-default\">Comment ca marche ?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-4592ff1 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"4592ff1\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-f535c0c\" data-id=\"f535c0c\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-d31fd5c elementor-widget elementor-widget-text-editor\" data-id=\"d31fd5c\" 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;\">L\u2019analyse de sentiment (ou sentiment analysis) intervient quand on communique que ce soit \u00e0 <\/span><b>\u00e9crit <\/b><span style=\"font-weight: 400;\">ou \u00e0<\/span><b> l\u2019oral<\/b><span style=\"font-weight: 400;\">. Les Data Scientist ont la possibilit\u00e9 d\u2019exploiter des donn\u00e9es audios ou bien textuelles. C\u2019est d\u2019ailleurs le format des donn\u00e9es qui oriente la technique de Machine Learning \u00e0 utiliser.<\/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<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-356950b elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"356950b\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-04f4c11\" data-id=\"04f4c11\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-73686e8 elementor-widget elementor-widget-heading\" data-id=\"73686e8\" 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\">Comment analyser une phrase dite oralement ?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-e923a40 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"e923a40\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-0a3de17\" data-id=\"0a3de17\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-86b614c elementor-widget elementor-widget-text-editor\" data-id=\"86b614c\" 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;\">Dans ce cas, la donn\u00e9e \u00e0 analyser est un signal \u00e9lectrique g\u00e9n\u00e9r\u00e9 par le cerveau appel\u00e9\u00a0 <\/span><i><span style=\"font-weight: 400;\">\u00e9lectroenc\u00e9phalogrammes<\/span><\/i><span style=\"font-weight: 400;\"> ( ou EEG). Globalement \u00e7a ressemble \u00e0 \u00e7a :<\/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-0d16b4b elementor-widget elementor-widget-image\" data-id=\"0d16b4b\" 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<figure class=\"wp-caption\">\n\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"512\" height=\"113\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2020\/09\/image_SA_2.png\" class=\"attachment-full size-full wp-image-8227\" alt=\"sentiments analysis\" srcset=\"https:\/\/datascientest.com\/wp-content\/uploads\/2020\/09\/image_SA_2.png 512w, https:\/\/datascientest.com\/wp-content\/uploads\/2020\/09\/image_SA_2-300x66.png 300w\" sizes=\"(max-width: 512px) 100vw, 512px\" \/>\t\t\t\t\t\t\t\t\t\t\t<figcaption class=\"widget-image-caption wp-caption-text\">fig. : exemple de signal \u00e9lectrique produit par le cerveau [1]<\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\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-a725fab elementor-widget elementor-widget-text-editor\" data-id=\"a725fab\" 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 collecter cette donn\u00e9e, que l\u2019on va analyser par la suite, des \u00e9lectrodes sont dispos\u00e9es sur le cr\u00e2ne. Si l\u2019on m\u00e8ne l\u2019exp\u00e9rience sur vous, vous ressemblerez \u00e0 peu pr\u00e8s \u00e0 \u00e7a :<\/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-90367f0 elementor-widget elementor-widget-image\" data-id=\"90367f0\" 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=\"512\" height=\"384\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2020\/09\/image_sa.png\" class=\"attachment-large size-large wp-image-8226\" alt=\"sentiments analysis\" srcset=\"https:\/\/datascientest.com\/wp-content\/uploads\/2020\/09\/image_sa.png 512w, https:\/\/datascientest.com\/wp-content\/uploads\/2020\/09\/image_sa-300x225.png 300w\" sizes=\"(max-width: 512px) 100vw, 512px\" \/>\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-8ef7d90 elementor-widget elementor-widget-text-editor\" data-id=\"8ef7d90\" 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;\">Une fois les signaux collect\u00e9s, il faut en extraire des <\/span><b>caract\u00e9ristiques<\/b><span style=\"font-weight: 400;\"> (aussi appel\u00e9es <\/span><i><span style=\"font-weight: 400;\">features<\/span><\/i><span style=\"font-weight: 400;\"> en anglais) qui repr\u00e9sentent l\u2019information contenue dans le signal. Ces caract\u00e9ristiques sont un format plus lisible par l\u2019<\/span><b>algorithme de Machine Learning <\/b><span style=\"font-weight: 400;\">qui va classifier les signaux. L\u2019extraction de <\/span><i><span style=\"font-weight: 400;\">features <\/span><\/i><span style=\"font-weight: 400;\">se fait en appliquant diff\u00e9rentes transformations comme des filtres au signal \u00e9lectrique.<\/span><\/p><p><span style=\"font-weight: 400;\">Une fois les features extraites, nous allons les donner en entr\u00e9e \u00e0 notre algorithme comme par exemple un <\/span><b>R\u00e9seau de Neurones<\/b><span style=\"font-weight: 400;\"> (ou Neural Network) afin qu\u2019il puisse classifier les signaux dans les diff\u00e9rentes cat\u00e9gories : positif\/n\u00e9gatif\/neutre.<\/span><\/p><p><span style=\"font-weight: 400;\">En r\u00e9alit\u00e9, cette technique de r\u00e9cup\u00e9rer un signal c\u00e9r\u00e9bral pour ensuite l\u2019analyser et en d\u00e9duire une polarit\u00e9 (positive\/n\u00e9gative\/neutre) est peu utilis\u00e9e dans la vie courante et surtout exploit\u00e9e dans le <\/span><b>domaine de la recherche <\/b><span style=\"font-weight: 400;\">notamment par les chercheurs qui s\u2019int\u00e9ressent aux probl\u00e9matiques m\u00ealant <\/span><b>Intelligence Artificielle<\/b><span style=\"font-weight: 400;\"> et neurosciences.<\/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<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-1c5d48f elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"1c5d48f\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-0a6241f\" data-id=\"0a6241f\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-48309eb elementor-widget elementor-widget-heading\" data-id=\"48309eb\" 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\">Comment est classifi\u00e9 un commentaire \u00e9crit sur Facebook ?\n<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-e56d32e elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"e56d32e\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-71b694f\" data-id=\"71b694f\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-28eee03 elementor-widget elementor-widget-text-editor\" data-id=\"28eee03\" 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 r\u00e9pondre \u00e0 cette probl\u00e9matique, les Data Scientists utilisent les m\u00e9thodes classiques de&nbsp;<\/span><a href=\"https:\/\/datascientest.com\/introduction-au-nlp-natural-language-processing\" target=\"_blank\">Natural Language Processing&nbsp;<\/a><span style=\"font-weight: 400;\">(pour plus de d\u00e9tail, n\u2019h\u00e9sitez pas \u00e0 vous r\u00e9f\u00e9rer \u00e0 l\u2019<\/span><a href=\"https:\/\/datascientest.com\/introduction-au-nlp-natural-language-processing\" target=\"_blank\">article Introduction au NLP- Natural Language Processing sur le site<\/a><span style=\"font-weight: 400;\">)<\/span><b>.&nbsp;<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Ces m\u00e9thodes analysent directement les mots et doivent tenir compte des aspects contextuels et linguistiques de la donn\u00e9e.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">En bref, la phrase \u00e0 analyser va \u00eatre trait\u00e9e comme une<\/span><b> s\u00e9quence<\/b><span style=\"font-weight: 400;\"> qui d\u00e9finit un contexte et dont les mots sont d\u00e9pendants les uns des autres c\u2019est-\u00e0-dire qu\u2019ils vont \u00eatre analys\u00e9s au regard des mots qui les pr\u00e9c\u00e8dent dans la phrase.&nbsp;<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Pour traiter ces phrases, les Data Scientists vont alors utiliser des <\/span><b>R\u00e9seau de neurones r\u00e9currents<\/b><span style=\"font-weight: 400;\"> (ou <\/span><b>RNN<\/b><span style=\"font-weight: 400;\">, <\/span><i><span style=\"font-weight: 400;\">Recurrent neural network <\/span><\/i><span style=\"font-weight: 400;\">en anglais) qui sont des r\u00e9seaux de neurones sp\u00e9cialis\u00e9s dans le traitement de s\u00e9quences.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Une architecture (tr\u00e8s simplifi\u00e9e) de RNN pour l\u2019analyse de sentiment ressemblerait donc \u00e0 ce pipeline :<\/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<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-0f8584f elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"0f8584f\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-ac92ea4\" data-id=\"ac92ea4\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-4cd0f43 elementor-widget elementor-widget-image\" data-id=\"4cd0f43\" 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<figure class=\"wp-caption\">\n\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"696\" height=\"540\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2020\/09\/Capture-de\u0301cran-2020-09-07-a\u0300-09.53.32.png\" class=\"attachment-full size-full wp-image-8229\" alt=\"sentiments analysis\" srcset=\"https:\/\/datascientest.com\/wp-content\/uploads\/2020\/09\/Capture-de\u0301cran-2020-09-07-a\u0300-09.53.32.png 696w, https:\/\/datascientest.com\/wp-content\/uploads\/2020\/09\/Capture-de\u0301cran-2020-09-07-a\u0300-09.53.32-300x233.png 300w\" sizes=\"(max-width: 696px) 100vw, 696px\" \/>\t\t\t\t\t\t\t\t\t\t\t<figcaption class=\"widget-image-caption wp-caption-text\">fig. : architecture d\u2019un RNN pour l\u2019analyse de sentiments<\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-4928e9d elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"4928e9d\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-3056916\" data-id=\"3056916\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-7ea3f07 elementor-widget elementor-widget-text-editor\" data-id=\"7ea3f07\" 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;\">Si on prend la phrase \u201cTu es poli\u201d alors on voit bien que le mot \u201cpoli\u201d une fois analys\u00e9 par l\u2019algorithme va permettre de renvoyer une des deux classes (ici, positive en l&rsquo;occurrence) et que ce mot \u201cpoli\u201d a \u00e9t\u00e9 analys\u00e9 apr\u00e8s le mot \u201ces\u201d (autrement dit, dans le contexte du mot \u201ces\u201d) lui-m\u00eame analys\u00e9 apr\u00e8s le mot \u201ctu\u201d (autrement dit, dans le contexte du mot \u201ctu\u201d).\u00a0<\/span><\/p><p><span style=\"font-weight: 400;\">Cette <\/span><i><span style=\"font-weight: 400;\">r\u00e9currence <\/span><\/i><span style=\"font-weight: 400;\">permet donc de d\u00e9finir un <\/span><b>contexte, <\/b><span style=\"font-weight: 400;\">indispensable dans l\u2019analyse de sentiment.\u00a0<\/span><\/p><p><span style=\"font-weight: 400;\">Bien \u00e9videmment, il existe des phrases subtiles et complexes \u00e0 analyser pour des machines. \u201cCe parfum sent extr\u00eamement bon, il en est addictif\u201d. Le mot \u201cextr\u00eamement\u201d peut \u00eatre connot\u00e9 soit positivement soit n\u00e9gativement tandis qu\u2019 \u201caddictif\u201d est en g\u00e9n\u00e9ral associ\u00e9 \u00e0 un sentiment n\u00e9gatif.<\/span><\/p><p><span style=\"font-weight: 400;\">M\u00eame si la technologie des r\u00e9seaux de neurones r\u00e9currents (RNN) existe depuis plusieurs ann\u00e9es, ce n\u2019est que r\u00e9cemment que les scientifiques ont r\u00e9ussi \u00e0 obtenir des<\/span><b> r\u00e9sultats tr\u00e8s prometteurs<\/b><span style=\"font-weight: 400;\">, notamment gr\u00e2ce aux <\/span><b>capacit\u00e9s de calcul<\/b><span style=\"font-weight: 400;\"> qui sont en constante am\u00e9lioration. Cette technologie est donc utilis\u00e9e de plus en plus r\u00e9guli\u00e8rement par les entreprises souhaitant avoir un retour de leurs utilisateurs sur un produit ou tout autre personne ayant acc\u00e8s \u00e0 une grande quantit\u00e9 de messages afin d\u2019en d\u00e9gager un sentiment g\u00e9n\u00e9ral.<\/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<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-b204d3b elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"b204d3b\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-36f9c76\" data-id=\"36f9c76\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-4651283 elementor-widget elementor-widget-heading\" data-id=\"4651283\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<p class=\"elementor-heading-title elementor-size-default\">Cet article vous a plu ?<\/p>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-47a6c3d elementor-widget elementor-widget-text-editor\" data-id=\"47a6c3d\" 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 vous demandez comment r\u00e9cup\u00e9rer des donn\u00e9es de site web pour analyser les sentiments des utilisateurs ?<\/p><p>D\u00e9couvrez vite notre <a href=\"https:\/\/datascientest.com\/web-scraping-theorie-et-application-accessible-a-tous\" target=\"_blank\" rel=\"noopener\">article sur le Webscraping<\/a>\u00a0<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t<div class=\"elementor-element elementor-element-a8d7481 e-flex e-con-boxed e-con\" data-id=\"a8d7481\" 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-3b4a8e6 elementor-widget elementor-widget-heading\" data-id=\"3b4a8e6\" 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\">Bibliographie :<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d5f61c5 elementor-widget elementor-widget-text-editor\" data-id=\"d5f61c5\" 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 style=\"padding-left: 40px;\"><span style=\"font-weight: 400;\">[1] <a href=\"https:\/\/medium.com\/@justlv\/using-ai-to-read-your-thoughts-with-keras-and-an-eeg-sensor-167ace32e84a\">https:\/\/medium.com\/@justlv\/using-ai-to-read-your-thoughts-with-keras-and-an-eeg-sensor-167ace32e84a<\/a><\/span><\/p><p style=\"padding-left: 40px;\"><span style=\"font-weight: 400;\">[2] <a href=\"https:\/\/www.researchgate.net\/publication\/264977616_Using_Brain_Data_for_Sentiment_Analysis\" target=\"_blank\" rel=\"noopener\">Using Brain Data for Sentiment Analysis by Yuqiao Gu, Fabio Celli, Josef Steinberger<\/a><\/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\t\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>L\u2019analyse de sentiments est une technique qui s\u2019est fortement d\u00e9velopp\u00e9e en m\u00eame temps que les r\u00e9seaux sociaux, o\u00f9 les utilisateurs ont la possibilit\u00e9 de s\u2019exprimer massivement et de partager en permanence leurs sentiments. L\u2019analyse de sentiment (ou sentiment analysis en anglais) vise donc \u00e0 d\u00e9terminer la tonalit\u00e9 \u00e9motionnelle d\u2019un discours en le classifiant dans diff\u00e9rentes [&hellip;]<\/p>\n","protected":false},"author":78,"featured_media":8232,"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>Sentiment Analysis et Machine Learning - DataScientest<\/title>\n<meta name=\"description\" content=\"Sentiment Analysis et Machine Learning : d\u00e9couvrez l&#039;analyse de sentiments de plus en plus utilis\u00e9e par les entreprises .\" \/>\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\/machine-learning-sentiment-analysis\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Sentiment Analysis et Machine Learning\" \/>\n<meta property=\"og:url\" content=\"https:\/\/datascientest.com\/machine-learning-sentiment-analysis\" \/>\n<meta property=\"og:site_name\" content=\"Formation Data Science | DataScientest.com\" \/>\n<meta property=\"article:published_time\" content=\"2020-09-07T08:49:23+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2023-11-09T14:12:27+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/datascientest.com\/wp-content\/uploads\/2020\/09\/illu_sentiment_analysis_1200x675.png\" \/>\n\t<meta property=\"og:image:width\" content=\"2500\" \/>\n\t<meta property=\"og:image:height\" content=\"1407\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"author\" content=\"J\u00e9r\u00e9my Robert\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"\u00c9crit par\" \/>\n\t<meta name=\"twitter:data1\" content=\"J\u00e9r\u00e9my Robert\" \/>\n\t<meta name=\"twitter:label2\" content=\"Dur\u00e9e de lecture estim\u00e9e\" \/>\n\t<meta name=\"twitter:data2\" content=\"5 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/datascientest.com\/machine-learning-sentiment-analysis\",\"url\":\"https:\/\/datascientest.com\/machine-learning-sentiment-analysis\",\"name\":\"Sentiment Analysis et Machine Learning - DataScientest\",\"isPartOf\":{\"@id\":\"https:\/\/datascientest.com\/#website\"},\"datePublished\":\"2020-09-07T08:49:23+00:00\",\"dateModified\":\"2023-11-09T14:12:27+00:00\",\"author\":{\"@id\":\"https:\/\/datascientest.com\/#\/schema\/person\/7af2361c48e24e79a8aa2360e6e74925\"},\"description\":\"Sentiment Analysis et Machine Learning : d\u00e9couvrez l'analyse de sentiments de plus en plus utilis\u00e9e par les entreprises .\",\"inLanguage\":\"fr-FR\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/datascientest.com\/machine-learning-sentiment-analysis\"]}]},{\"@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\/7af2361c48e24e79a8aa2360e6e74925\",\"name\":\"J\u00e9r\u00e9my Robert\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"fr-FR\",\"@id\":\"https:\/\/datascientest.com\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/datascientest.com\/wp-content\/uploads\/2023\/11\/jeremyrobert.jpeg\",\"contentUrl\":\"https:\/\/datascientest.com\/wp-content\/uploads\/2023\/11\/jeremyrobert.jpeg\",\"caption\":\"J\u00e9r\u00e9my Robert\"},\"description\":\"J\u00e9r\u00e9my Robert est actuellement Directeur p\u00e9dagogique B2B chez DataScientest.com. 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