{"id":179060,"date":"2024-04-10T18:41:46","date_gmt":"2024-04-10T17:41:46","guid":{"rendered":"https:\/\/datascientest.com\/en\/?p=179060"},"modified":"2024-02-17T19:08:41","modified_gmt":"2024-02-17T18:08:41","slug":"sentiment-analysis-harnessing-the-power-of-machine-learning","status":"publish","type":"post","link":"https:\/\/datascientest.com\/en\/sentiment-analysis-harnessing-the-power-of-machine-learning","title":{"rendered":"Sentiment Analysis: Harnessing the Power of Machine Learning"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"179060\" class=\"elementor elementor-179060\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-e5ccce4 e-flex e-con-boxed e-con\" data-id=\"e5ccce4\" 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<div class=\"elementor-element elementor-element-f9e076c e-con-full e-flex e-con\" data-id=\"f9e076c\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-3dae9e3 elementor-widget elementor-widget-text-editor\" data-id=\"3dae9e3\" 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>Sentiment analysis is a technique that has developed strongly in tandem with social networking, where users can express themselves on a massive scale and constantly share their feelings. Sentiment analysis aims to determine the emotional tone of a speech by classifying it in different categories, such as positive, negative or neutral.<\/h2>\t\t\t\t\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-b984bf6 e-flex e-con-boxed e-con\" data-id=\"b984bf6\" 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<div class=\"elementor-element elementor-element-8d342d0 e-con-full e-flex e-con\" data-id=\"8d342d0\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-8154b59 elementor-widget elementor-widget-text-editor\" data-id=\"8154b59\" 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>It is popular with a wide range of players, from politicians in the middle of an election campaign to companies ready to<strong> launch a new product, to name but a few.<\/strong><\/p><p>The politician will want to test his popularity rating with the electorate, while the company will want to assess how well its product is received by the public.<\/p>\t\t\t\t\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-8a8347f e-flex e-con-boxed e-con\" data-id=\"8a8347f\" 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<div class=\"elementor-element elementor-element-a81d20a e-con-full e-flex e-con\" data-id=\"a81d20a\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-d8fa6c1 elementor-widget elementor-widget-image\" data-id=\"d8fa6c1\" 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\/en\/files\/2020\/09\/data_geniale_Plan-de-travail-1.png\" class=\"attachment-full size-full wp-image-8235\" alt=\"sentiments datascientest\" srcset=\"https:\/\/datascientest.com\/en\/files\/2020\/09\/data_geniale_Plan-de-travail-1.png 400w, https:\/\/datascientest.com\/en\/files\/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: example of a sentence to be analysed<\/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-d3e10d7 elementor-align-center button-principal elementor-widget elementor-widget-button\" data-id=\"d3e10d7\" 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-md\" href=\"https:\/\/datascientest.com\/en\/data-courses\">\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\">Discover our courses<\/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>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-7126fcc e-con-full e-flex e-con\" data-id=\"7126fcc\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-d6e2341 elementor-widget elementor-widget-text-editor\" data-id=\"d6e2341\" 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>But what does Sentiment Analysis actually involve and how do Data Scientists use Machine Learning techniques to decipher the emotional tone of a speech?<\/h2>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-f04248f e-flex e-con-boxed e-con\" data-id=\"f04248f\" 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<div class=\"elementor-element elementor-element-fc37cf0 e-con-full e-flex e-con\" data-id=\"fc37cf0\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-70c75b8 elementor-widget elementor-widget-text-editor\" data-id=\"70c75b8\" 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><strong>Sentiment analysis<\/strong> is used when communicating, whether in writing or verbally. Data Scientists can use audio or text data. It is the format of the data that determines the <a href=\"https:\/\/datascientest.com\/en\/machine-learning-engineer-bootcamp-why-is-it-interesting\">Machine Learning technique to be used.<\/a><\/p>\t\t\t\t\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-b5a9ca7 e-flex e-con-boxed e-con\" data-id=\"b5a9ca7\" 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<div class=\"elementor-element elementor-element-af7cf11 e-con-full e-flex e-con\" data-id=\"af7cf11\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-262e28b elementor-widget elementor-widget-heading\" data-id=\"262e28b\" 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\">How do you analyse a spoken sentence?<\/h3>\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-ebbc3ac e-flex e-con-boxed e-con\" data-id=\"ebbc3ac\" 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<div class=\"elementor-element elementor-element-77b841c e-con-full e-flex e-con\" data-id=\"77b841c\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-c883b10 elementor-widget elementor-widget-text-editor\" data-id=\"c883b10\" 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>In this case, the data to be analysed is an electrical signal generated by the brain called an <strong>electroencephalogram (or EEG)<\/strong>. Overall, it looks like this:<\/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-97d11a5 elementor-widget elementor-widget-image\" data-id=\"97d11a5\" 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\/en\/files\/2020\/09\/image_SA_2.png\" class=\"attachment-full size-full wp-image-8227\" alt=\"sentiments analysis\" srcset=\"https:\/\/datascientest.com\/en\/files\/2020\/09\/image_SA_2.png 512w, https:\/\/datascientest.com\/en\/files\/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: example of an electrical signal produced by the brain [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-d2bc431 elementor-widget elementor-widget-text-editor\" data-id=\"d2bc431\" 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>To <a href=\"https:\/\/datascientest.com\/en\/how-to-choose-a-data-governance-course\">collect this data,<\/a> which is then analysed, electrodes are placed on the skull. If we carry out the experiment on you, you will look something like this:<\/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-ecfd335 elementor-widget elementor-widget-image\" data-id=\"ecfd335\" 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=\"384\" src=\"https:\/\/datascientest.com\/en\/files\/2020\/09\/image_sa.png\" class=\"attachment-large size-large wp-image-8226\" alt=\"sentiments analysis\" srcset=\"https:\/\/datascientest.com\/en\/files\/2020\/09\/image_sa.png 512w, https:\/\/datascientest.com\/en\/files\/2020\/09\/image_sa-300x225.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\"><\/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-624012b elementor-widget elementor-widget-text-editor\" data-id=\"624012b\" 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>Once the signals have been collected, the features representing the information contained in the signal need to be extracted. These features are a more readable format for the <a href=\"https:\/\/datascientest.com\/en\/boosting-business-with-3-essential-machine-learning-algorithms\">Machine Learning algorithm<\/a> that will <a href=\"https:\/\/datascientest.com\/en\/classification-algorithms-definition-and-main-models\">classify the signals<\/a>. Features are extracted by applying various transformations, such as filters, to the electrical signal.<\/p><p>Once the features have been extracted, we give them as input to our algorithm, such as a <a href=\"https:\/\/datascientest.com\/en\/deep-neural-network-what-is-it-and-how-is-it-working\">Neural Network,<\/a> so that it can classify the signals into different categories: positive\/negative\/neutral.<\/p><p>In reality, this technique of recovering a cerebral signal and then analysing it to deduce a polarity (positive\/negative\/neutral) is rarely used in everyday life and is mainly exploited in the field of research, particularly by researchers interested in issues <a href=\"https:\/\/datascientest.com\/en\/xai-or-explainable-artificial-intelligence-what-is-it-about\">combining Artificial Intelligence and neuroscience.<\/a><\/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-1581def elementor-align-center button-principal elementor-widget elementor-widget-button\" data-id=\"1581def\" 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-md\" href=\"https:\/\/datascientest.com\/en\/data-courses\">\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\">Discover our courses<\/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>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-d8177f1 e-flex e-con-boxed e-con\" data-id=\"d8177f1\" 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<div class=\"elementor-element elementor-element-9e9b168 e-con-full e-flex e-con\" data-id=\"9e9b168\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-ccee229 elementor-widget elementor-widget-heading\" data-id=\"ccee229\" 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\">How is a comment written on Facebook classified?\n<\/h3>\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-0691f26 e-flex e-con-boxed e-con\" data-id=\"0691f26\" 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<div class=\"elementor-element elementor-element-83ae1cd e-con-full e-flex e-con\" data-id=\"83ae1cd\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-b38896a elementor-widget elementor-widget-text-editor\" data-id=\"b38896a\" 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>To solve this problem, Data Scientists use classic Natural Language Processing methods (for more details, please refer to the Introduction to <a href=\"https:\/\/datascientest.com\/en\/natural-language-processing-definition-and-principles\">NLP &#8211; Natural Language Processing article on the site).<\/a><\/p><p>These methods analyse words directly and must take into account the contextual and linguistic aspects of the data.<\/p><p>In short, the sentence to be analysed will be treated as a sequence that defines a context and whose words are dependent on each other, i.e. they will be analysed in relation to the words that precede them in the sentence.<\/p><p>To process these sentences, <strong>Data Scientists will use Recurrent Neural Networks (RNN),<\/strong> which are neural networks specialised in sequence processing.<\/p><p>A <strong>(highly simplified) RNN architecture<\/strong> for sentiment analysis would therefore look something like this pipeline:<\/p>\t\t\t\t\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-1ae1298 e-flex e-con-boxed e-con\" data-id=\"1ae1298\" 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<div class=\"elementor-element elementor-element-a63b94b e-con-full e-flex e-con\" data-id=\"a63b94b\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-796dfc1 elementor-widget elementor-widget-image\" data-id=\"796dfc1\" 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\/en\/files\/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\" \/>\t\t\t\t\t\t\t\t\t\t\t<figcaption class=\"widget-image-caption wp-caption-text\">fig: architecture of an RNN for sentiment analysis<\/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-dad3012 elementor-align-center button-principal elementor-widget elementor-widget-button\" data-id=\"dad3012\" 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-md\" href=\"https:\/\/datascientest.com\/en\/data-courses\">\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\">Discover our courses<\/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>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-903a14f e-flex e-con-boxed e-con\" data-id=\"903a14f\" 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<div class=\"elementor-element elementor-element-320eb84 e-con-full e-flex e-con\" data-id=\"320eb84\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-db8f4ec elementor-widget elementor-widget-text-editor\" data-id=\"db8f4ec\" 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>If we <strong>take the sentence &#8220;You&#8217;re polite&#8221;<\/strong>, we can see that the word &#8220;polite&#8221;, once analysed by the algorithm, will return one of the two classes (in this case, positive) and that this word &#8220;polite&#8221; was analysed after the word &#8220;es&#8221; (in other words, in the context of the word &#8220;es&#8221;) which was itself analysed after the word &#8220;tu&#8221; (in other words, in the context of the word &#8220;tu&#8221;).<\/p><p>This recurrence makes it possible to define a context, which is essential for analysing sentiment.<\/p><p>Of course, there are sentences that are subtle and complex for machines to analyse. &#8220;This perfume smells extremely good, it&#8217;s addictive&#8221;. The word &#8220;extremely&#8221; can have either positive or negative connotations, while &#8220;addictive&#8221; is generally associated with a negative feeling.<\/p><p>Although <strong>recurrent neural network (RNN)<\/strong> technology has been around for a number of years, it is only recently that scientists have been able to obtain some very promising results, thanks in particular to constantly improving computing capacities. As a result, this technology is being used more and more regularly by companies wishing to obtain feedback from their users on a product or any other person with access to a large quantity of messages in order to derive a general feeling.<\/p>\t\t\t\t\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-d4038ea e-flex e-con-boxed e-con\" data-id=\"d4038ea\" 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<div class=\"elementor-element elementor-element-26b701a e-con-full e-flex e-con\" data-id=\"26b701a\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-17383dd elementor-widget elementor-widget-heading\" data-id=\"17383dd\" 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\">Did you like this article?<\/p>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-9502f14 elementor-widget elementor-widget-text-editor\" data-id=\"9502f14\" 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>Wondering how to retrieve website<a href=\"https:\/\/datascientest.com\/en\/analysis-of-variance-anova-a-basic-tool-for-data-analysis\"> data to analyse user sentiment?<\/a><\/p><p><a href=\"https:\/\/datascientest.com\/en\/web-scraping-unveiled-your-comprehensive-guide-to-data-extraction\">Read our article on webscraping.<\/a><\/p>\t\t\t\t\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-86442a6 e-flex e-con-boxed e-con\" data-id=\"86442a6\" 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-9fc4ddc elementor-widget elementor-widget-heading\" data-id=\"9fc4ddc\" 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\">Bibliography:<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-2a279ff elementor-widget elementor-widget-text-editor\" data-id=\"2a279ff\" 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<div class=\"elementor-element elementor-element-e80d494 elementor-align-center button-principal elementor-widget elementor-widget-button\" data-id=\"e80d494\" 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-md\" href=\"https:\/\/datascientest.com\/en\/data-courses\">\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\">Discover our courses<\/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\t\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Sentiment analysis is a technique that has developed strongly in tandem with social networking, where users can express themselves on a massive scale and constantly share their feelings. Sentiment analysis aims to determine the emotional tone of a speech by classifying it in different categories, such as positive, negative or neutral. It is popular with [&hellip;]<\/p>\n","protected":false},"author":67,"featured_media":179063,"comment_status":"open","ping_status":"open","sticky":false,"template":"elementor_theme","format":"standard","meta":{"content-type":"","inline_featured_image":false},"categories":[2425],"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: Harnessing the Power of Machine Learning<\/title>\n<meta name=\"description\" content=\"Explore the world of sentiment analysis and machine learning! Discover how advanced algorithms are revolutionizing the way we analyze and understand emotions expressed in text data. Dive into the techniques, applications, and benefits of sentiment analysis in various industries\" \/>\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\/en\/sentiment-analysis-harnessing-the-power-of-machine-learning\" \/>\n<meta property=\"og:locale\" content=\"en_GB\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Sentiment Analysis: Harnessing the Power of Machine Learning\" \/>\n<meta property=\"og:description\" content=\"Sentiment analysis is a technique that has developed strongly in tandem with social networking, where users can express themselves on a massive scale and\" \/>\n<meta property=\"og:url\" content=\"https:\/\/datascientest.com\/en\/sentiment-analysis-harnessing-the-power-of-machine-learning\" \/>\n<meta property=\"og:site_name\" content=\"Data Science Courses | DataScientest\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/DataScientestEN\" \/>\n<meta property=\"article:published_time\" content=\"2024-04-10T17:41:46+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2024-02-17T18:08:41+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/datascientest.com\/en\/files\/2024\/04\/illu_sentiment_analysis_1200x675-768x432-1.png\" \/>\n\t<meta property=\"og:image:width\" content=\"768\" \/>\n\t<meta property=\"og:image:height\" content=\"432\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"author\" content=\"Melanie\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@DataScientest__\" \/>\n<meta name=\"twitter:site\" content=\"@DataScientest__\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Melanie\" \/>\n\t<meta name=\"twitter:label2\" content=\"Estimated reading time\" \/>\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\":\"Article\",\"@id\":\"https:\/\/datascientest.com\/en\/sentiment-analysis-harnessing-the-power-of-machine-learning#article\",\"isPartOf\":{\"@id\":\"https:\/\/datascientest.com\/en\/sentiment-analysis-harnessing-the-power-of-machine-learning\"},\"author\":{\"name\":\"Melanie\",\"@id\":\"https:\/\/datascientest.com\/en\/#\/schema\/person\/19d5f7ade9407eb69af3bf6d1ae1731d\"},\"headline\":\"Sentiment Analysis: Harnessing the Power of Machine Learning\",\"datePublished\":\"2024-04-10T17:41:46+00:00\",\"dateModified\":\"2024-02-17T18:08:41+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/datascientest.com\/en\/sentiment-analysis-harnessing-the-power-of-machine-learning\"},\"wordCount\":783,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\/\/datascientest.com\/en\/#organization\"},\"articleSection\":[\"Data Science\"],\"inLanguage\":\"en-GB\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\/\/datascientest.com\/en\/sentiment-analysis-harnessing-the-power-of-machine-learning#respond\"]}],\"copyrightYear\":\"2024\",\"copyrightHolder\":{\"@id\":\"https:\/\/datascientest.com\/#organization\"}},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/datascientest.com\/en\/sentiment-analysis-harnessing-the-power-of-machine-learning\",\"url\":\"https:\/\/datascientest.com\/en\/sentiment-analysis-harnessing-the-power-of-machine-learning\",\"name\":\"Sentiment Analysis: Harnessing the Power of Machine Learning\",\"isPartOf\":{\"@id\":\"https:\/\/datascientest.com\/en\/#website\"},\"datePublished\":\"2024-04-10T17:41:46+00:00\",\"dateModified\":\"2024-02-17T18:08:41+00:00\",\"description\":\"Explore the world of sentiment analysis and machine learning! Discover how advanced algorithms are revolutionizing the way we analyze and understand emotions expressed in text data. Dive into the techniques, applications, and benefits of sentiment analysis in various industries\",\"inLanguage\":\"en-GB\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/datascientest.com\/en\/sentiment-analysis-harnessing-the-power-of-machine-learning\"]}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/datascientest.com\/en\/#website\",\"url\":\"https:\/\/datascientest.com\/en\/\",\"name\":\"Data Science Courses | DataScientest\",\"description\":\"Leader in Data Science Courses\",\"publisher\":{\"@id\":\"https:\/\/datascientest.com\/en\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/datascientest.com\/en\/?s={search_term_string}\"},\"query-input\":\"required name=search_term_string\"}],\"inLanguage\":\"en-GB\"},{\"@type\":\"Organization\",\"@id\":\"https:\/\/datascientest.com\/en\/#organization\",\"name\":\"DataScientest\",\"url\":\"https:\/\/datascientest.com\/en\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-GB\",\"@id\":\"https:\/\/datascientest.com\/en\/#\/schema\/logo\/image\/\",\"url\":\"https:\/\/datascientest.com\/en\/wp-content\/blogs.dir\/9\/files\/2024\/02\/DataScientest_icon_blue-2.png\",\"contentUrl\":\"https:\/\/datascientest.com\/en\/wp-content\/blogs.dir\/9\/files\/2024\/02\/DataScientest_icon_blue-2.png\",\"width\":301,\"height\":301,\"caption\":\"DataScientest\"},\"image\":{\"@id\":\"https:\/\/datascientest.com\/en\/#\/schema\/logo\/image\/\"},\"sameAs\":[\"https:\/\/www.facebook.com\/DataScientestEN\",\"https:\/\/twitter.com\/DataScientest__\",\"https:\/\/www.linkedin.com\/school\/datascientest\/mycompany\/\",\"https:\/\/www.tiktok.com\/@datascientest\"]},{\"@type\":\"Person\",\"@id\":\"https:\/\/datascientest.com\/en\/#\/schema\/person\/19d5f7ade9407eb69af3bf6d1ae1731d\",\"name\":\"Melanie\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-GB\",\"@id\":\"https:\/\/datascientest.com\/en\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/secure.gravatar.com\/avatar\/8d3d660a0698de06f13ecf4823519da1?s=96&d=mm&r=g\",\"contentUrl\":\"https:\/\/secure.gravatar.com\/avatar\/8d3d660a0698de06f13ecf4823519da1?s=96&d=mm&r=g\",\"caption\":\"Melanie\"},\"url\":\"https:\/\/datascientest.com\/en\/author\/melaniekrause\"}]}<\/script>\n<!-- \/ Yoast SEO Premium plugin. -->","yoast_head_json":{"title":"Sentiment Analysis: Harnessing the Power of Machine Learning","description":"Explore the world of sentiment analysis and machine learning! Discover how advanced algorithms are revolutionizing the way we analyze and understand emotions expressed in text data. Dive into the techniques, applications, and benefits of sentiment analysis in various industries","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/datascientest.com\/en\/sentiment-analysis-harnessing-the-power-of-machine-learning","og_locale":"en_GB","og_type":"article","og_title":"Sentiment Analysis: Harnessing the Power of Machine Learning","og_description":"Sentiment analysis is a technique that has developed strongly in tandem with social networking, where users can express themselves on a massive scale and","og_url":"https:\/\/datascientest.com\/en\/sentiment-analysis-harnessing-the-power-of-machine-learning","og_site_name":"Data Science Courses | DataScientest","article_publisher":"https:\/\/www.facebook.com\/DataScientestEN","article_published_time":"2024-04-10T17:41:46+00:00","article_modified_time":"2024-02-17T18:08:41+00:00","og_image":[{"width":768,"height":432,"url":"https:\/\/datascientest.com\/en\/files\/2024\/04\/illu_sentiment_analysis_1200x675-768x432-1.png","type":"image\/png"}],"author":"Melanie","twitter_card":"summary_large_image","twitter_creator":"@DataScientest__","twitter_site":"@DataScientest__","twitter_misc":{"Written by":"Melanie","Estimated reading time":"5 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/datascientest.com\/en\/sentiment-analysis-harnessing-the-power-of-machine-learning#article","isPartOf":{"@id":"https:\/\/datascientest.com\/en\/sentiment-analysis-harnessing-the-power-of-machine-learning"},"author":{"name":"Melanie","@id":"https:\/\/datascientest.com\/en\/#\/schema\/person\/19d5f7ade9407eb69af3bf6d1ae1731d"},"headline":"Sentiment Analysis: Harnessing the Power of Machine Learning","datePublished":"2024-04-10T17:41:46+00:00","dateModified":"2024-02-17T18:08:41+00:00","mainEntityOfPage":{"@id":"https:\/\/datascientest.com\/en\/sentiment-analysis-harnessing-the-power-of-machine-learning"},"wordCount":783,"commentCount":0,"publisher":{"@id":"https:\/\/datascientest.com\/en\/#organization"},"articleSection":["Data Science"],"inLanguage":"en-GB","potentialAction":[{"@type":"CommentAction","name":"Comment","target":["https:\/\/datascientest.com\/en\/sentiment-analysis-harnessing-the-power-of-machine-learning#respond"]}],"copyrightYear":"2024","copyrightHolder":{"@id":"https:\/\/datascientest.com\/#organization"}},{"@type":"WebPage","@id":"https:\/\/datascientest.com\/en\/sentiment-analysis-harnessing-the-power-of-machine-learning","url":"https:\/\/datascientest.com\/en\/sentiment-analysis-harnessing-the-power-of-machine-learning","name":"Sentiment Analysis: Harnessing the Power of Machine Learning","isPartOf":{"@id":"https:\/\/datascientest.com\/en\/#website"},"datePublished":"2024-04-10T17:41:46+00:00","dateModified":"2024-02-17T18:08:41+00:00","description":"Explore the world of sentiment analysis and machine learning! Discover how advanced algorithms are revolutionizing the way we analyze and understand emotions expressed in text data. Dive into the techniques, applications, and benefits of sentiment analysis in various industries","inLanguage":"en-GB","potentialAction":[{"@type":"ReadAction","target":["https:\/\/datascientest.com\/en\/sentiment-analysis-harnessing-the-power-of-machine-learning"]}]},{"@type":"WebSite","@id":"https:\/\/datascientest.com\/en\/#website","url":"https:\/\/datascientest.com\/en\/","name":"Data Science Courses | DataScientest","description":"Leader in Data Science Courses","publisher":{"@id":"https:\/\/datascientest.com\/en\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/datascientest.com\/en\/?s={search_term_string}"},"query-input":"required name=search_term_string"}],"inLanguage":"en-GB"},{"@type":"Organization","@id":"https:\/\/datascientest.com\/en\/#organization","name":"DataScientest","url":"https:\/\/datascientest.com\/en\/","logo":{"@type":"ImageObject","inLanguage":"en-GB","@id":"https:\/\/datascientest.com\/en\/#\/schema\/logo\/image\/","url":"https:\/\/datascientest.com\/en\/wp-content\/blogs.dir\/9\/files\/2024\/02\/DataScientest_icon_blue-2.png","contentUrl":"https:\/\/datascientest.com\/en\/wp-content\/blogs.dir\/9\/files\/2024\/02\/DataScientest_icon_blue-2.png","width":301,"height":301,"caption":"DataScientest"},"image":{"@id":"https:\/\/datascientest.com\/en\/#\/schema\/logo\/image\/"},"sameAs":["https:\/\/www.facebook.com\/DataScientestEN","https:\/\/twitter.com\/DataScientest__","https:\/\/www.linkedin.com\/school\/datascientest\/mycompany\/","https:\/\/www.tiktok.com\/@datascientest"]},{"@type":"Person","@id":"https:\/\/datascientest.com\/en\/#\/schema\/person\/19d5f7ade9407eb69af3bf6d1ae1731d","name":"Melanie","image":{"@type":"ImageObject","inLanguage":"en-GB","@id":"https:\/\/datascientest.com\/en\/#\/schema\/person\/image\/","url":"https:\/\/secure.gravatar.com\/avatar\/8d3d660a0698de06f13ecf4823519da1?s=96&d=mm&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/8d3d660a0698de06f13ecf4823519da1?s=96&d=mm&r=g","caption":"Melanie"},"url":"https:\/\/datascientest.com\/en\/author\/melaniekrause"}]}},"_links":{"self":[{"href":"https:\/\/datascientest.com\/en\/wp-json\/wp\/v2\/posts\/179060"}],"collection":[{"href":"https:\/\/datascientest.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/datascientest.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/datascientest.com\/en\/wp-json\/wp\/v2\/users\/67"}],"replies":[{"embeddable":true,"href":"https:\/\/datascientest.com\/en\/wp-json\/wp\/v2\/comments?post=179060"}],"version-history":[{"count":0,"href":"https:\/\/datascientest.com\/en\/wp-json\/wp\/v2\/posts\/179060\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/datascientest.com\/en\/wp-json\/wp\/v2\/media\/179063"}],"wp:attachment":[{"href":"https:\/\/datascientest.com\/en\/wp-json\/wp\/v2\/media?parent=179060"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/datascientest.com\/en\/wp-json\/wp\/v2\/categories?post=179060"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/datascientest.com\/en\/wp-json\/wp\/v2\/tags?post=179060"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}