{"id":181005,"date":"2024-03-19T21:51:38","date_gmt":"2024-03-19T20:51:38","guid":{"rendered":"https:\/\/datascientest.com\/en\/?p=181005"},"modified":"2024-02-29T22:15:42","modified_gmt":"2024-02-29T21:15:42","slug":"semantic-analysis-definition-and-use-cases-in-natural-language-processing","status":"publish","type":"post","link":"https:\/\/datascientest.com\/en\/semantic-analysis-definition-and-use-cases-in-natural-language-processing","title":{"rendered":"Semantic Analysis: Definition and Use Cases in Natural Language Processing"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"181005\" class=\"elementor elementor-181005\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-08b845d e-flex e-con-boxed e-con\" data-id=\"08b845d\" 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-14244ab elementor-widget elementor-widget-heading\" data-id=\"14244ab\" 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><h2 class=\"elementor-heading-title elementor-size-default\">Artificial Intelligence tools are becoming more and more effective at processing natural language, thanks in particular to more sophisticated use of semantic analysis. In this article, we take a look at what semantic analysis is and how it can benefit organisations.<\/h2>\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-43850cf e-flex e-con-boxed e-con\" data-id=\"43850cf\" 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-cf8a841 elementor-widget elementor-widget-heading\" data-id=\"cf8a841\" 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\">What is semantic analysis?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-bc7e6fd elementor-widget elementor-widget-heading\" data-id=\"bc7e6fd\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\">Definition of semantic analysis<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-10f3043 elementor-widget elementor-widget-text-editor\" data-id=\"10f3043\" 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<p><strong>Semantics<\/strong> refers to the study of words in context. One word can have several meanings. To understand its real meaning within a sentence, we need to study all the words that surround it. This is the context.<\/p><p>This makes it easier to understand words, expressions, sentences or even long texts (1000, 2000, 5000 words&#8230;).<\/p><p>As well as giving meaning to textual data, semantic analysis tools can also interpret tone, feeling, emotion, turn of phrase, etc. This analysis will then reveal whether the text has a positive, negative or neutral connotation.<\/p><p>Referred to as the world of data, the aim of semantic analysis is to help machines understand the real meaning of a series of words based on context. Machine Learning algorithms and NLP (Natural Language Processing) technologies study textual data to better understand human language. In this way, semantic analysis makes it possible to refine natural language processing.<\/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-2c35ee5 elementor-widget elementor-widget-heading\" data-id=\"2c35ee5\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\">Example of semantic analysis<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5e1150c elementor-widget elementor-widget-text-editor\" data-id=\"5e1150c\" 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 help you better understand semantic analysis, here are two examples:<\/p><p>Example 1:<\/p><ul><li>I&#8217;m eating a strawberry ice cream.<\/li><li>I look at my reflection in the mirror on my wardrobe.<\/li><\/ul>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-60a2142 elementor-widget elementor-widget-text-editor\" data-id=\"60a2142\" 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>The word &#8220;ice&#8221; can have several meanings: a food or a mirror. To determine its real meaning in each sentence, we need to analyse the other components of the sentence. This is all the more important in French (and in European languages in general), since many words are particularly ambiguous. For these words, only the context allows us to understand their meaning.<\/p><p>Example 2:<\/p><ul><li>Let&#8217;s eat, children!<\/li><li>Let&#8217;s eat children!<\/li><\/ul>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-31d9461 elementor-widget elementor-widget-text-editor\" data-id=\"31d9461\" 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 addition to<strong> polysemous words,<\/strong> punctuation also plays a major role in semantic analysis.<\/p><p>In this example, the meaning of the sentence is very easy to understand when spoken, thanks to the intonation of the voice. But when reading, machines can misinterpret the meaning of a sentence because of a <strong>misplaced comma or full stop.<\/strong><\/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-36ea3ec elementor-widget elementor-widget-image\" data-id=\"36ea3ec\" 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\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2023\/05\/Outils-danalyse-semantique-1080x550-1.jpg\" title=\"\" alt=\"\" loading=\"lazy\" \/>\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-0a6bb41 elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"0a6bb41\" 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-sm elementor-animation-grow\" href=\"https:\/\/datascientest.com\/en\/machine-learning-engineer-course\">\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\">Mastering semantic analysis<\/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<div class=\"elementor-element elementor-element-3eeb236 e-flex e-con-boxed e-con\" data-id=\"3eeb236\" 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-b5e2c04 elementor-widget elementor-widget-heading\" data-id=\"b5e2c04\" 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\">Why use semantic analysis?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-bf95947 elementor-widget elementor-widget-heading\" data-id=\"bf95947\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\">SEO<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ad3de54 elementor-widget elementor-widget-text-editor\" data-id=\"ad3de54\" 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>Semantic analysis applies very well to natural referencing. It involves helping search engines to understand the meaning of a text in order to position it in their results. Google will then analyse the vocabulary, punctuation, sentence structure, words that occur regularly, etc.<\/p><p><a href=\"https:\/\/datascientest.com\/en\/google-search-console-the-essential-seo-tool\">As SEO has evolved,<\/a> the study of semantic analysis has become more refined. Originally, natural referencing was based essentially on the repetition of a keyword within a text. But as online content multiplies, this repetition generates extremely heavy texts that are not very pleasant to read.<\/p><p>To improve the user experience, search engines have developed their semantic analysis. The idea is to understand a text not just through the redundancy of key queries, but rather through the richness of the semantic field.<\/p><p>To take the example of ice cream (in the sense of food), this involves inserting words such as flavour, strawberry, chocolate, vanilla, cone, jar, summer, freshness, etc.<\/p><p><a href=\"https:\/\/datascientest.com\/en\/google-analytics-4-training-how-to-master-ga4\">As far as Google is concerned<\/a>, <strong>semantic analysis<\/strong> enables us to determine whether or not a text meets users&#8217; search intentions.<\/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-ac3a537 elementor-widget elementor-widget-heading\" data-id=\"ac3a537\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\">Chatbots<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-bb4bc57 elementor-widget elementor-widget-text-editor\" data-id=\"bb4bc57\" 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 addition to natural search, semantic analysis is used for <a href=\"https:\/\/datascientest.com\/en\/power-virtual-agents-everything-you-need-to-know-about-the-chatbot-creation-tool\">chatbots<\/a>, virtual assistants and other artificial intelligence tools.<\/p><p>As well as having to understand the user&#8217;s intention, these technologies also have to render content on their own. But if the Internet user asks a question with a poor vocabulary, the machine may have difficulty answering.<\/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-13ca9a0 elementor-widget elementor-widget-heading\" data-id=\"13ca9a0\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\">Marketing and social listening<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-9b75a26 elementor-widget elementor-widget-text-editor\" data-id=\"9b75a26\" 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>As we saw earlier,<strong> semantic analysis<\/strong> is capable of determining the positive, negative or neutral connotation of a text. This skill is particularly useful in the field of marketing. Machines can automatically understand customer feedback from social networks, online review sites, forums and so on. More specifically, they need to transcribe customer emotions. In other words, they need to detect the elements that denote dissatisfaction, discontent or impatience on the part of the target audience.<\/p><p>By using<strong> semantic analysis tools,<\/strong> brands are able to process large volumes of textual data. In so doing, they develop their customer knowledge and their understanding of market trends. As a result, they can improve their communications, and set up alerts if too many negative messages appear&#8230;<\/p><p>Ultimately, semantic analysis is an excellent way of <strong>guiding marketing actions.<\/strong><\/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<div class=\"elementor-element elementor-element-b7a7b39 e-flex e-con-boxed e-con\" data-id=\"b7a7b39\" 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-31b393c elementor-widget elementor-widget-heading\" data-id=\"31b393c\" 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\">What other types of textual analysis are there?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-4ae2abf elementor-widget elementor-widget-heading\" data-id=\"4ae2abf\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\">Syntactic analysis<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-da7d474 elementor-widget elementor-widget-text-editor\" data-id=\"da7d474\" 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>Syntactic analysis involves analysing the structure of the sentence itself.<\/p><p>For example:<\/p><p>Are you eating an ice cream? <br \/>You are eating an ice cream<\/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-664e7be elementor-widget elementor-widget-text-editor\" data-id=\"664e7be\" 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 context, the subject-verb positioning makes it possible to differentiate these two sentences as a question and a statement. However, the meaning of the words as such is not analysed. This is only done a posteriori with the semantic analysis.<\/p><p>This is why syntactic and semantic analyses are complementary.<\/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-5e5fdbc elementor-widget elementor-widget-heading\" data-id=\"5e5fdbc\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\">Lexical analysis<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-78a9ac8 elementor-widget elementor-widget-text-editor\" data-id=\"78a9ac8\" 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>Lexical analysis is particularly used in programming languages. Here, the aim is to study the structure of a text, which is then broken down into several words or expressions. For example, identifiers, keywords, separators, etc.<\/p><p>Here again, semantic analysis is performed after the fact.<\/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-06bd304 elementor-widget elementor-widget-image\" data-id=\"06bd304\" 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\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2023\/05\/Outils-danalyse-textuelle-1080x550-1.jpg\" title=\"\" alt=\"\" loading=\"lazy\" \/>\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\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-9c2cbc0 e-flex e-con-boxed e-con\" data-id=\"9c2cbc0\" 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-fa5f7e7 elementor-widget elementor-widget-heading\" data-id=\"fa5f7e7\" 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\">Key facts:<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-81d0735 elementor-widget elementor-widget-text-editor\" data-id=\"81d0735\" 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<ul><li style=\"font-weight: 400;\" aria-level=\"1\">Semantic analysis makes it possible to understand the meaning of a word, a sentence, an expression or a text, thanks to the context provided by all the textual data.<\/li><li style=\"font-weight: 400;\" aria-level=\"1\">This analysis is particularly useful for<a href=\"https:\/\/datascientest.com\/en\/natural-language-processing-definition-and-principles\"> natural language processing<\/a>, as it enables machines to better understand the human brain.<\/li><li style=\"font-weight: 400;\" aria-level=\"1\">In practical terms, this study of semantics has applications in marketing, chatbots and SEO.<\/li><\/ul>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1ad460c elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"1ad460c\" 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-sm elementor-animation-grow\" href=\"https:\/\/datascientest.com\/en\/machine-learning-engineer-course\">\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\">Learn all about semantic analysis<\/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<div class=\"elementor-element elementor-element-9295976 e-flex e-con-boxed e-con\" data-id=\"9295976\" 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-0fe4d9f elementor-widget elementor-widget-html\" data-id=\"0fe4d9f\" data-element_type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<script type=\"application\/ld+json\">\n{\n  \"@context\": \"https:\/\/schema.org\",\n  \"@type\": \"FAQPage\",\n  \"mainEntity\": [{\n    \"@type\": \"Question\",\n    \"name\": \"What is semantic analysis?\",\n    \"acceptedAnswer\": {\n      \"@type\": \"Answer\",\n      \"text\": \"Semantics refers to the study of words in their context. A word can have several meanings. To understand its real meaning within a sentence, we need to study all the words that surround it. This is the context. This makes it easier to understand words, expressions, sentences or even long texts (1000, 2000, 5000 words...). As well as giving meaning to textual data, semantic analysis tools can also interpret tone, feeling, emotion, turn of phrase, etc. This analysis will then reveal whether the text has a positive, negative or neutral connotation\".\n    }\n  },{\n    \"@type\": \"Question\",\n    \"name\": \"Why use semantic analysis?\",\n    \"acceptedAnswer\": {\n      \"@type\": \"Answer\",\n      \"text\": \"Semantic analysis applies very well to natural referencing. It involves helping search engines to understand the meaning of a text in order to position it in their results. Google will then analyse the vocabulary, punctuation, sentence structure, regularly recurring words, etc.\".\n    }\n  }]\n}\n<\/script>\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>Artificial Intelligence tools are becoming more and more effective at processing natural language, thanks in particular to more sophisticated use of semantic analysis. In this article, we take a look at what semantic analysis is and how it can benefit organisations. What is semantic analysis? Definition of semantic analysis Semantics refers to the study of [&hellip;]<\/p>\n","protected":false},"author":67,"featured_media":181006,"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>Semantic Analysis: Definition and Use Cases in Natural Language Processing<\/title>\n<meta name=\"description\" content=\"Learn about semantic analysis, its definition, and various applications in natural language processing. Explore how semantic analysis is used for\" \/>\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\/semantic-analysis-definition-and-use-cases-in-natural-language-processing\" \/>\n<meta property=\"og:locale\" content=\"en_GB\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Semantic Analysis: Definition and Use Cases in Natural Language Processing\" \/>\n<meta property=\"og:description\" content=\"Artificial Intelligence tools are becoming more and more effective at processing natural language, thanks in particular to more sophisticated use of\" \/>\n<meta property=\"og:url\" content=\"https:\/\/datascientest.com\/en\/semantic-analysis-definition-and-use-cases-in-natural-language-processing\" \/>\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=\"2024-03-19T20:51:38+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2024-02-29T21:15:42+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/datascientest.com\/en\/files\/2024\/02\/semantik-analyse.png\" \/>\n\t<meta property=\"og:image:width\" content=\"1200\" \/>\n\t<meta property=\"og:image:height\" content=\"600\" \/>\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\/semantic-analysis-definition-and-use-cases-in-natural-language-processing#article\",\"isPartOf\":{\"@id\":\"https:\/\/datascientest.com\/en\/semantic-analysis-definition-and-use-cases-in-natural-language-processing\"},\"author\":{\"name\":\"Melanie\",\"@id\":\"https:\/\/datascientest.com\/en\/#\/schema\/person\/19d5f7ade9407eb69af3bf6d1ae1731d\"},\"headline\":\"Semantic Analysis: Definition and Use Cases in Natural Language Processing\",\"datePublished\":\"2024-03-19T20:51:38+00:00\",\"dateModified\":\"2024-02-29T21:15:42+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/datascientest.com\/en\/semantic-analysis-definition-and-use-cases-in-natural-language-processing\"},\"wordCount\":933,\"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\/semantic-analysis-definition-and-use-cases-in-natural-language-processing#respond\"]}],\"copyrightYear\":\"2024\",\"copyrightHolder\":{\"@id\":\"https:\/\/datascientest.com\/#organization\"}},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/datascientest.com\/en\/semantic-analysis-definition-and-use-cases-in-natural-language-processing\",\"url\":\"https:\/\/datascientest.com\/en\/semantic-analysis-definition-and-use-cases-in-natural-language-processing\",\"name\":\"Semantic Analysis: Definition and Use Cases in Natural Language Processing\",\"isPartOf\":{\"@id\":\"https:\/\/datascientest.com\/en\/#website\"},\"datePublished\":\"2024-03-19T20:51:38+00:00\",\"dateModified\":\"2024-02-29T21:15:42+00:00\",\"description\":\"Learn about semantic analysis, its definition, and various applications in natural language processing. 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