{"id":109840,"date":"2025-09-17T12:00:17","date_gmt":"2025-09-17T10:00:17","guid":{"rendered":"https:\/\/brand24.com\/blog\/?p=109840"},"modified":"2025-12-16T15:56:21","modified_gmt":"2025-12-16T14:56:21","slug":"analyse-des-sentiments","status":"publish","type":"post","link":"https:\/\/brand24.com\/blog\/fr\/sentiment-analysis\/","title":{"rendered":"Analyse des sentiments : qu'est-ce que c'est et pourquoi en aurez-vous besoin en 2026 ?"},"content":{"rendered":"\n<p>In the era of data overload, it&#8217;s not just about what your customers say, it&#8217;s about how they feel. That\u2019s where sentiment analysis comes in. In fact, brands using AI-powered sentiment detection have seen up to a 4x higher conversion rate. Want to benefit too? Here&#8217;s your guide!<\/p>\n\n\n\n<p class=\"has-background\" style=\"background-color:#e8f4ee\"><strong>Quick Summary:<\/strong><br><br>&#8211; Sentiment analysis is a way to figure out how people felt when they wrote the specific text. It can be <strong>negative, positive, or neutra<\/strong>l and include more specific emotions like anger and joy.<br><br>&#8211; Businesses use it to understand what customers think and feel about their products, campaigns, or company in general. It helps with better decisions, stronger branding, and faster reactions to feedback.<br><br>&#8211; Most tools use<strong> machine learning<\/strong> to learn from lots of labeled examples. They scan text, look for patterns, and decide the mood or emotion behind it.<\/p>\n\n\n\n<p>Market forecast predictions:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>The global sentiment analytics market is rapidly growing and is projected to reach USD 7.13 billion by 2028.<\/li>\n\n\n\n<li>Social media analytics and sentiment analysis generated approximately USD 3.94 billion in revenue in 2024 and is projected to grow to over USD 17.05 billion by 2030.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"what-is\"><strong>What is sentiment analysis?<\/strong><\/h2>\n\n\n\n<p class=\"has-background\" style=\"background-color:#e8f4ee\"><strong>Sentiment analysis<\/strong> is a natural language processing (NLP) technique for determining the emotional tone behind text, speech, or other forms of communication. The goal is to understand whether people express positive, negative, or neutral feelings about a brand, product, or topic.<\/p>\n\n\n\n<p><strong>In simple words:<\/strong>&nbsp;It\u2019s a tool that understands how people feel when they express themselves online.<\/p>\n\n\n\n<p>How it works:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Data collection:<\/strong> The tool starts by monitoring multiple online sources.<\/li>\n\n\n\n<li><strong>Natural Language Processing (NLP)<\/strong>: NLP algorithms analyze the text structure, context, and meaning.<\/li>\n\n\n\n<li><strong>Sentiment classification<\/strong>: Machine learning models or rule-based methods classify the sentiment.<\/li>\n<\/ul>\n\n\n\n<p>In practice, sentiment analysis tools automatically scan online mentions and assign them a sentiment score. For example:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Positive sentiment<\/strong>: <em>\u201cI love how easy this app is to use!\u201d<\/em><\/li>\n\n\n\n<li><strong>Neutral sentiment<\/strong>: <em>\u201cThis app was released in March.\u201d<\/em><\/li>\n\n\n\n<li><strong>Negative sentiment<\/strong>: <em>\u201cThe app keeps crashing all the time.\u201d<\/em><\/li>\n<\/ul>\n\n\n\n<figure data-wp-context=\"{&quot;imageId&quot;:&quot;69d2bab39e143&quot;}\" data-wp-interactive=\"core\/image\" data-wp-key=\"69d2bab39e143\" class=\"wp-block-image aligncenter size-full wp-lightbox-container\"><img loading=\"lazy\" decoding=\"async\" width=\"972\" height=\"774\" data-wp-class--hide=\"state.isContentHidden\" data-wp-class--show=\"state.isContentVisible\" data-wp-init=\"callbacks.setButtonStyles\" data-wp-on--click=\"actions.showLightbox\" data-wp-on--load=\"callbacks.setButtonStyles\" data-wp-on-window--resize=\"callbacks.setButtonStyles\" src=\"https:\/\/brand24.com\/blog\/wp-content\/uploads\/2024\/05\/sentiment-analysis.jpeg\" alt=\"Example of positive, neutral, and negative online mentions\" class=\"wp-image-164866\" srcset=\"https:\/\/brand24.com\/blog\/app\/uploads\/2024\/05\/sentiment-analysis.jpeg 972w, https:\/\/brand24.com\/blog\/app\/uploads\/2024\/05\/sentiment-analysis-300x239.jpeg 300w, https:\/\/brand24.com\/blog\/app\/uploads\/2024\/05\/sentiment-analysis-200x159.jpeg 200w\" sizes=\"auto, (max-width: 972px) 100vw, 972px\" \/><button\n\t\t\tclass=\"lightbox-trigger\"\n\t\t\ttype=\"button\"\n\t\t\taria-haspopup=\"dialog\"\n\t\t\taria-label=\"Enlarge\"\n\t\t\tdata-wp-init=\"callbacks.initTriggerButton\"\n\t\t\tdata-wp-on--click=\"actions.showLightbox\"\n\t\t\tdata-wp-style--right=\"state.imageButtonRight\"\n\t\t\tdata-wp-style--top=\"state.imageButtonTop\"\n\t\t>\n\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"12\" height=\"12\" fill=\"none\" viewBox=\"0 0 12 12\">\n\t\t\t\t<path fill=\"#fff\" d=\"M2 0a2 2 0 0 0-2 2v2h1.5V2a.5.5 0 0 1 .5-.5h2V0H2Zm2 10.5H2a.5.5 0 0 1-.5-.5V8H0v2a2 2 0 0 0 2 2h2v-1.5ZM8 12v-1.5h2a.5.5 0 0 0 .5-.5V8H12v2a2 2 0 0 1-2 2H8Zm2-12a2 2 0 0 1 2 2v2h-1.5V2a.5.5 0 0 0-.5-.5H8V0h2Z\" \/>\n\t\t\t<\/svg>\n\t\t<\/button><figcaption class=\"wp-element-caption\">Example of positive, neutral, and negative online mentions<\/figcaption><\/figure>\n\n\n\n<p>To give you deeper insights into customer feelings, more advanced AI sentiment analysis can even detect:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Irony,<\/li>\n\n\n\n<li>Sarcasm,<\/li>\n\n\n\n<li>Specific emotions (like admiration, anger, disgust, fear, joy, sadness),<\/li>\n\n\n\n<li>Customer intent (like information, promotional, sales, networking, greetings, advocacy, entertaining, opinion sharing).<\/li>\n<\/ul>\n\n\n\n<figure data-wp-context=\"{&quot;imageId&quot;:&quot;69d2bab39eb1b&quot;}\" data-wp-interactive=\"core\/image\" data-wp-key=\"69d2bab39eb1b\" class=\"wp-block-image aligncenter size-full wp-lightbox-container\"><img loading=\"lazy\" decoding=\"async\" width=\"1010\" height=\"814\" data-wp-class--hide=\"state.isContentHidden\" data-wp-class--show=\"state.isContentVisible\" data-wp-init=\"callbacks.setButtonStyles\" data-wp-on--click=\"actions.showLightbox\" data-wp-on--load=\"callbacks.setButtonStyles\" data-wp-on-window--resize=\"callbacks.setButtonStyles\" src=\"https:\/\/brand24.com\/blog\/app\/uploads\/2024\/06\/sentiment-analysis-Jorge-Hoth-min.png\" alt=\"Why use sentiment analysis\" class=\"wp-image-177182\" srcset=\"https:\/\/brand24.com\/blog\/app\/uploads\/2024\/06\/sentiment-analysis-Jorge-Hoth-min.png 1010w, https:\/\/brand24.com\/blog\/app\/uploads\/2024\/06\/sentiment-analysis-Jorge-Hoth-min-15x12.png 15w, https:\/\/brand24.com\/blog\/app\/uploads\/2024\/06\/sentiment-analysis-Jorge-Hoth-min-300x242.png 300w, https:\/\/brand24.com\/blog\/app\/uploads\/2024\/06\/sentiment-analysis-Jorge-Hoth-min-197x159.png 197w\" sizes=\"auto, (max-width: 1010px) 100vw, 1010px\" \/><button\n\t\t\tclass=\"lightbox-trigger\"\n\t\t\ttype=\"button\"\n\t\t\taria-haspopup=\"dialog\"\n\t\t\taria-label=\"Enlarge\"\n\t\t\tdata-wp-init=\"callbacks.initTriggerButton\"\n\t\t\tdata-wp-on--click=\"actions.showLightbox\"\n\t\t\tdata-wp-style--right=\"state.imageButtonRight\"\n\t\t\tdata-wp-style--top=\"state.imageButtonTop\"\n\t\t>\n\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"12\" height=\"12\" fill=\"none\" viewBox=\"0 0 12 12\">\n\t\t\t\t<path fill=\"#fff\" d=\"M2 0a2 2 0 0 0-2 2v2h1.5V2a.5.5 0 0 1 .5-.5h2V0H2Zm2 10.5H2a.5.5 0 0 1-.5-.5V8H0v2a2 2 0 0 0 2 2h2v-1.5ZM8 12v-1.5h2a.5.5 0 0 0 .5-.5V8H12v2a2 2 0 0 1-2 2H8Zm2-12a2 2 0 0 1 2 2v2h-1.5V2a.5.5 0 0 0-.5-.5H8V0h2Z\" \/>\n\t\t\t<\/svg>\n\t\t<\/button><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"types\">Types of sentiment analysis<\/h2>\n\n\n\n<p>Here are the main types of sentiment analysis. Each with its own way of digging into what\u2019s behind people\u2019s talk:<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">1. Fine-grained sentiment analysis<\/h3>\n\n\n\n<p>Goes beyond \u201cpositive\/negative\u201d to classify into multiple levels, such as:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Very positive<\/li>\n\n\n\n<li>Positive<\/li>\n\n\n\n<li>Neutral<\/li>\n\n\n\n<li>Negative<\/li>\n\n\n\n<li>Very negative<\/li>\n<\/ul>\n\n\n\n<p>It can be star ratings or scoring something from 0 to 100.<\/p>\n\n\n\n<p><strong>Use case<\/strong>: Perfect for surveys and customer feedback.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">2. Emotion analysis<\/h3>\n\n\n\n<p>Goes beyond polarity to identify specific emotions such as:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Joy<\/li>\n\n\n\n<li>Anger<\/li>\n\n\n\n<li>Sadness<\/li>\n\n\n\n<li>Fear<\/li>\n\n\n\n<li>Disgust<\/li>\n<\/ul>\n\n\n\n<p><strong>Use case<\/strong>: This helps brands understand how people feel, not just <em>whether<\/em> the sentiment is good or bad.<\/p>\n\n\n\n<p>For example, \u201cI can\u2019t stop smiling after using this app\u201d would be tagged as happy, not just positive.<\/p>\n\n\n\n<figure data-wp-context=\"{&quot;imageId&quot;:&quot;69d2bab39ef66&quot;}\" data-wp-interactive=\"core\/image\" data-wp-key=\"69d2bab39ef66\" class=\"wp-block-image aligncenter size-full wp-lightbox-container\"><img loading=\"lazy\" decoding=\"async\" width=\"1010\" height=\"636\" data-wp-class--hide=\"state.isContentHidden\" data-wp-class--show=\"state.isContentVisible\" data-wp-init=\"callbacks.setButtonStyles\" data-wp-on--click=\"actions.showLightbox\" data-wp-on--load=\"callbacks.setButtonStyles\" data-wp-on-window--resize=\"callbacks.setButtonStyles\" src=\"https:\/\/brand24.com\/blog\/app\/uploads\/2025\/09\/sentiment-emotion-emoji-analysis-min.png\" alt=\"Why use emoji and emotion analysis?\n\" class=\"wp-image-177226\" srcset=\"https:\/\/brand24.com\/blog\/app\/uploads\/2025\/09\/sentiment-emotion-emoji-analysis-min.png 1010w, https:\/\/brand24.com\/blog\/app\/uploads\/2025\/09\/sentiment-emotion-emoji-analysis-min-18x12.png 18w, https:\/\/brand24.com\/blog\/app\/uploads\/2025\/09\/sentiment-emotion-emoji-analysis-min-300x189.png 300w, https:\/\/brand24.com\/blog\/app\/uploads\/2025\/09\/sentiment-emotion-emoji-analysis-min-248x156.png 248w\" sizes=\"auto, (max-width: 1010px) 100vw, 1010px\" \/><button\n\t\t\tclass=\"lightbox-trigger\"\n\t\t\ttype=\"button\"\n\t\t\taria-haspopup=\"dialog\"\n\t\t\taria-label=\"Enlarge\"\n\t\t\tdata-wp-init=\"callbacks.initTriggerButton\"\n\t\t\tdata-wp-on--click=\"actions.showLightbox\"\n\t\t\tdata-wp-style--right=\"state.imageButtonRight\"\n\t\t\tdata-wp-style--top=\"state.imageButtonTop\"\n\t\t>\n\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"12\" height=\"12\" fill=\"none\" viewBox=\"0 0 12 12\">\n\t\t\t\t<path fill=\"#fff\" d=\"M2 0a2 2 0 0 0-2 2v2h1.5V2a.5.5 0 0 1 .5-.5h2V0H2Zm2 10.5H2a.5.5 0 0 1-.5-.5V8H0v2a2 2 0 0 0 2 2h2v-1.5ZM8 12v-1.5h2a.5.5 0 0 0 .5-.5V8H12v2a2 2 0 0 1-2 2H8Zm2-12a2 2 0 0 1 2 2v2h-1.5V2a.5.5 0 0 0-.5-.5H8V0h2Z\" \/>\n\t\t\t<\/svg>\n\t\t<\/button><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\">3. Intent-based analysis<\/h3>\n\n\n\n<p>Detects not just tone, but user intention behind a message:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Complaint<\/li>\n\n\n\n<li>Praise<\/li>\n\n\n\n<li>Suggestion<\/li>\n\n\n\n<li>Purchase intent<\/li>\n<\/ul>\n\n\n\n<p><strong>Use case<\/strong>: Super useful for customer service and market research.<\/p>\n\n\n\n<p>For example, if someone says, \u201cI struggled a lot to set up my account,\u201d it may detect the intent to ask for help rather than just expressing frustration.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">4. Aspect-based sentiment analysis<\/h3>\n\n\n\n<p>This type breaks down sentiment by topic or aspect. For instance:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Product quality: positive sentiment<\/li>\n\n\n\n<li>Customer support: negative sentiment<\/li>\n<\/ul>\n\n\n\n<p><strong>Use case:<\/strong> Widely used in customer feedback analysis.<\/p>\n\n\n\n<p>For example, if someone writes, \u201cThe app is awesome, but the notifications drive me crazy,\u201d the system knows the bad review concerns the notifications strategy, not the whole app.<\/p>\n\n\n\n<figure data-wp-context=\"{&quot;imageId&quot;:&quot;69d2bab39f306&quot;}\" data-wp-interactive=\"core\/image\" data-wp-key=\"69d2bab39f306\" class=\"wp-block-image aligncenter size-full wp-lightbox-container\"><img loading=\"lazy\" decoding=\"async\" width=\"638\" height=\"500\" data-wp-class--hide=\"state.isContentHidden\" data-wp-class--show=\"state.isContentVisible\" data-wp-init=\"callbacks.setButtonStyles\" data-wp-on--click=\"actions.showLightbox\" data-wp-on--load=\"callbacks.setButtonStyles\" data-wp-on-window--resize=\"callbacks.setButtonStyles\" src=\"https:\/\/brand24.com\/blog\/app\/uploads\/2024\/06\/sentiment-analysis-types-of-analysis.png\" alt=\"Sentiment analysis systems types.\" class=\"wp-image-176250\" srcset=\"https:\/\/brand24.com\/blog\/app\/uploads\/2024\/06\/sentiment-analysis-types-of-analysis.png 638w, https:\/\/brand24.com\/blog\/app\/uploads\/2024\/06\/sentiment-analysis-types-of-analysis-15x12.png 15w, https:\/\/brand24.com\/blog\/app\/uploads\/2024\/06\/sentiment-analysis-types-of-analysis-300x235.png 300w, https:\/\/brand24.com\/blog\/app\/uploads\/2024\/06\/sentiment-analysis-types-of-analysis-203x159.png 203w\" sizes=\"auto, (max-width: 638px) 100vw, 638px\" \/><button\n\t\t\tclass=\"lightbox-trigger\"\n\t\t\ttype=\"button\"\n\t\t\taria-haspopup=\"dialog\"\n\t\t\taria-label=\"Enlarge\"\n\t\t\tdata-wp-init=\"callbacks.initTriggerButton\"\n\t\t\tdata-wp-on--click=\"actions.showLightbox\"\n\t\t\tdata-wp-style--right=\"state.imageButtonRight\"\n\t\t\tdata-wp-style--top=\"state.imageButtonTop\"\n\t\t>\n\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"12\" height=\"12\" fill=\"none\" viewBox=\"0 0 12 12\">\n\t\t\t\t<path fill=\"#fff\" d=\"M2 0a2 2 0 0 0-2 2v2h1.5V2a.5.5 0 0 1 .5-.5h2V0H2Zm2 10.5H2a.5.5 0 0 1-.5-.5V8H0v2a2 2 0 0 0 2 2h2v-1.5ZM8 12v-1.5h2a.5.5 0 0 0 .5-.5V8H12v2a2 2 0 0 1-2 2H8Zm2-12a2 2 0 0 1 2 2v2h-1.5V2a.5.5 0 0 0-.5-.5H8V0h2Z\" \/>\n\t\t\t<\/svg>\n\t\t<\/button><figcaption class=\"wp-element-caption\">Sentiment analysis systems types<\/figcaption><\/figure>\n\n\n<style>.acf-simple-cta{border-radius:20px;background-color:#fff;max-width:640px;margin:auto;margin-bottom:30px;padding:30px 15px}@media(min-width: 768px){.acf-simple-cta{padding:48px 62px 46px 62px}}.acf-simple-cta__title{font-size:22px !important;font-weight:600;line-height:23px !important;color:#000;text-align:center;margin-top:10px}@media(min-width: 576px){.acf-simple-cta__title{max-width:280px;text-align:left;margin-top:0}}.acf-simple-cta__title span{color:#00ef88}.acf-simple-cta__row{text-align:center}@media(min-width: 768px){.acf-simple-cta__row{display:flex;align-items:center;justify-content:space-between;gap:10px;text-align:left}}.acf-simple-cta__content{margin-bottom:20px;text-align:center}@media(min-width: 576px){.acf-simple-cta__content{display:flex;justify-content:center;align-items:center;gap:10px;width:100%;max-width:100%}}@media(min-width: 768px){.acf-simple-cta__content{align-items:center;justify-content:space-between;margin-bottom:0;max-width:66%}}.acf-simple-cta__btn{flex-shrink:0;border-radius:30px;padding:11px 21px;font-size:14px;line-height:18px;font-weight:500 !important;color:#000 !important;letter-spacing:-0.14px;background-color:#00ef88;border:none;transition:background-color .3s ease,opacity .3s ease;display:inline-block}.acf-simple-cta__btn:hover{background-color:#4bffae;text-decoration:none;opacity:.9}.acf-simple-cta__btn:focus-visible{outline:2px solid #00ef88}.acf-simple-cta--primary{background-color:#00ef88}.acf-simple-cta--primary .acf-simple-cta__title{color:#fff}.acf-simple-cta--primary .acf-simple-cta__title span{color:#000}.acf-simple-cta--primary .acf-simple-cta__btn{background-color:#000;color:#fff !important;transition:background-color .3s ease-in-out}.acf-simple-cta--primary .acf-simple-cta__btn:hover{background-color:#171717}.acf-simple-cta--violet{background-color:#000}.acf-simple-cta--violet .acf-simple-cta__title{color:#fff}.acf-simple-cta--violet .acf-simple-cta__title span{color:#bf00ff}.acf-simple-cta--violet .acf-simple-cta__btn{background-color:#bf00ff;color:#000 !important;transition:background-color .3s ease-in-out}.acf-simple-cta--violet .acf-simple-cta__btn:hover{background-color:#bf00ff}.acf-simple-cta--small{padding:20px 15px}@media(min-width: 768px){.acf-simple-cta--small{padding:33px 45px 31px 56px}}.acf-simple-cta--no-icon .acf-simple-cta__content{max-width:100%;width:auto}.acf-simple-cta--no-icon .acf-simple-cta__title{max-width:100%}@media(min-width: 768px){.acf-simple-cta--no-icon.acf-simple-cta--small .acf-simple-cta__content{max-width:55%}}<\/style>\n<div class=\"acf-simple-cta acf-simple-cta--default acf-simple-cta--no-icon acf-simple-cta--small\">\n    <div class=\"acf-simple-cta__wrapper\">\n        <div class=\"acf-simple-cta__row\">\n            <div class=\"acf-simple-cta__content\">\n                                                    <div class=\"acf-simple-cta__title\">Start Sentiment Analysis Now!<\/div>\n                            <\/div>\n                            <a href=\"https:\/\/app.brand24.com\/user\/register-account\/?custom_form=118\" class=\"acf-simple-cta__btn\" target=\"\">Start Trial!<\/a>\n                    <\/div>\n    <\/div>\n<\/div>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"use-cases\">What are sentiment analysis use cases?<\/h2>\n\n\n\n<p>According to <a href=\"https:\/\/seosandwitch.com\/brand-sentiment-analysis-statistics\" target=\"_blank\" rel=\"noopener nofollow\" title=\"\">SEO Sandwitch<\/a>:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>76% of marketers<\/strong> track brand sentiment as a key brand-health metric<\/li>\n\n\n\n<li><strong>45% of brands<\/strong> perform sentiment analysis weekly or more frequently<\/li>\n\n\n\n<li><strong>92% of brand leaders<\/strong> believe real-time sentiment tracking improves customer experience<\/li>\n\n\n\n<li><strong>66% of consumers<\/strong> say their trust in a brand improves when the brand responds transparently to negative sentiment<\/li>\n<\/ul>\n\n\n\n<p>In 2026, sentiment analysis is a brand\u2019s early warning system and trust builder.<\/p>\n\n\n\n<p>It analyzes online conversations, product reviews, social media posts, and customer feedback to reveal meaningful insights in real time.<\/p>\n\n\n\n<p>These emotional insights help teams:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Detect and prevent crises<\/li>\n\n\n\n<li>Shape brand messaging<\/li>\n\n\n\n<li>Improve products and services<\/li>\n\n\n\n<li>Stay ahead of competitors<\/li>\n\n\n\n<li>Understand public opinion and social trends<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Brand reputation management<\/h3>\n\n\n\n<p>In the age of instant feedback and viral reactions, reputation can shift overnight. Sentiment analysis algorithms help monitor brand perception across channels, from Reels to TikTok.<\/p>\n\n\n\n<p>You can:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Understand how the public perceives your brand, campaigns, or products<\/li>\n\n\n\n<li>Respond quickly to negativity or misinformation<\/li>\n\n\n\n<li>Track long-term sentiment trends to guide communication strategy<\/li>\n<\/ul>\n\n\n\n<p><strong>Example:<\/strong> A spike in negative mentions about delivery delays helps a retail brand identify operational issues before review scores drop.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Brand monitoring<\/h3>\n\n\n\n<p>By analyzing sentiment around your competitors, industry trends, or keywords, you can gain a complete picture of your market position.<\/p>\n\n\n\n<p>You can:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Benchmark brand performance against competitors<\/li>\n\n\n\n<li>Discover what resonates with your audience (and theirs)<\/li>\n\n\n\n<li>Identify white-space opportunities or PR risks<\/li>\n<\/ul>\n\n\n\n<p><strong>Example<\/strong>: A SaaS company notices rising positive sentiment for a competitor\u2019s new feature, prompting it to fast-track a similar rollout.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Customer feedback analysis<\/h3>\n\n\n\n<p>Feedback is now public, fast-moving, and spread across platforms. Sentiment detection captures and categorizes this data, saving time and surfacing trends.<\/p>\n\n\n\n<p>You can:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Automatically classify thousands of reviews, tweets, and comments<\/li>\n\n\n\n<li>Measure overall customer satisfaction<\/li>\n\n\n\n<li>Identify recurring pain points or praise<\/li>\n<\/ul>\n\n\n\n<p><strong>Example<\/strong>: A cosmetics brand detects consistent negative customer sentiment around the scent of a new lotion, leading to a reformulation before the next batch ships.<\/p>\n\n\n\n<figure data-wp-context=\"{&quot;imageId&quot;:&quot;69d2bab39fadc&quot;}\" data-wp-interactive=\"core\/image\" data-wp-key=\"69d2bab39fadc\" class=\"wp-block-image size-full wp-lightbox-container\"><img loading=\"lazy\" decoding=\"async\" width=\"1010\" height=\"858\" data-wp-class--hide=\"state.isContentHidden\" data-wp-class--show=\"state.isContentVisible\" data-wp-init=\"callbacks.setButtonStyles\" data-wp-on--click=\"actions.showLightbox\" data-wp-on--load=\"callbacks.setButtonStyles\" data-wp-on-window--resize=\"callbacks.setButtonStyles\" src=\"https:\/\/brand24.com\/blog\/app\/uploads\/2024\/06\/sentiment-analysis-Jorge-Hoth2-min.png\" alt=\"Why use sentiment analysis\" class=\"wp-image-177185\" srcset=\"https:\/\/brand24.com\/blog\/app\/uploads\/2024\/06\/sentiment-analysis-Jorge-Hoth2-min.png 1010w, https:\/\/brand24.com\/blog\/app\/uploads\/2024\/06\/sentiment-analysis-Jorge-Hoth2-min-14x12.png 14w, https:\/\/brand24.com\/blog\/app\/uploads\/2024\/06\/sentiment-analysis-Jorge-Hoth2-min-300x255.png 300w, https:\/\/brand24.com\/blog\/app\/uploads\/2024\/06\/sentiment-analysis-Jorge-Hoth2-min-187x159.png 187w\" sizes=\"auto, (max-width: 1010px) 100vw, 1010px\" \/><button\n\t\t\tclass=\"lightbox-trigger\"\n\t\t\ttype=\"button\"\n\t\t\taria-haspopup=\"dialog\"\n\t\t\taria-label=\"Enlarge\"\n\t\t\tdata-wp-init=\"callbacks.initTriggerButton\"\n\t\t\tdata-wp-on--click=\"actions.showLightbox\"\n\t\t\tdata-wp-style--right=\"state.imageButtonRight\"\n\t\t\tdata-wp-style--top=\"state.imageButtonTop\"\n\t\t>\n\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"12\" height=\"12\" fill=\"none\" viewBox=\"0 0 12 12\">\n\t\t\t\t<path fill=\"#fff\" d=\"M2 0a2 2 0 0 0-2 2v2h1.5V2a.5.5 0 0 1 .5-.5h2V0H2Zm2 10.5H2a.5.5 0 0 1-.5-.5V8H0v2a2 2 0 0 0 2 2h2v-1.5ZM8 12v-1.5h2a.5.5 0 0 0 .5-.5V8H12v2a2 2 0 0 1-2 2H8Zm2-12a2 2 0 0 1 2 2v2h-1.5V2a.5.5 0 0 0-.5-.5H8V0h2Z\" \/>\n\t\t\t<\/svg>\n\t\t<\/button><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\">Crisis detection and prevention<\/h3>\n\n\n\n<p>With real-time alerts and historical sentiment baselines, teams can identify and mitigate potential crises before they escalate.<\/p>\n\n\n\n<p>You can:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Get alerted to sudden spikes in negative sentiment<\/li>\n\n\n\n<li>Diagnose the root cause of negative buzz<\/li>\n\n\n\n<li>Deploy the right messaging quickly<\/li>\n<\/ul>\n\n\n\n<p><strong>Example<\/strong>: A fintech app detects backlash about a security update within minutes and issues a transparent FAQ, calming users and avoiding media scrutiny.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Improving customer service<\/h3>\n\n\n\n<p>Support teams receive a flood of DMs, emails, and comments. Thanks to sentiment detection, you can find critical mentions and tailor responses more empathetically.<\/p>\n\n\n\n<p>You can:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Detecting topics that generate frustration in real time<\/li>\n\n\n\n<li>Prioritizing critical issues<\/li>\n\n\n\n<li>Monitor sentiment in support channels over time<\/li>\n<\/ul>\n\n\n\n<p><strong>Example<\/strong>: An airline uses sentiment detection to fast-track distressed passenger messages during flight delays, preventing social media fallout.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Market research and product development<\/h3>\n\n\n\n<p>Sentiment analysis delivers organic, unfiltered <a target=\"_blank\" rel=\"noreferrer noopener\" href=\"https:\/\/brand24.com\/market-insights\/\">market insights<\/a><strong>,<\/strong> without relying on traditional research methods.<\/p>\n\n\n\n<p>You can:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Explore emerging customer preferences and behaviors<\/li>\n\n\n\n<li>Uncover unmet needs and feature requests<\/li>\n\n\n\n<li>Analyze public reaction to new campaigns or products<\/li>\n<\/ul>\n\n\n\n<p><strong>Example<\/strong>: A gaming company analyzes sentiment around beta feedback, discovers unexpected love for a side character, and turns them into a major DLC.<\/p>\n\n\n\n<div class=\"acf-simple-cta acf-simple-cta--default acf-simple-cta--no-icon acf-simple-cta--small\">\n    <div class=\"acf-simple-cta__wrapper\">\n        <div class=\"acf-simple-cta__row\">\n            <div class=\"acf-simple-cta__content\">\n                                                    <div class=\"acf-simple-cta__title\">Start Sentiment Analysis Now!<\/div>\n                            <\/div>\n                            <a href=\"https:\/\/app.brand24.com\/user\/register-account\/?custom_form=118\" class=\"acf-simple-cta__btn\" target=\"\">Start Trial!<\/a>\n                    <\/div>\n    <\/div>\n<\/div>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"how-to-do\"><strong>How to do sentiment analysis?<\/strong><\/h2>\n\n\n\n<p>Performing accurate sentiment analysis without using advanced <a href=\"https:\/\/brand24.com\/blog\/best-sentiment-analysis-tools\/\" target=\"_blank\" rel=\"noopener\" title=\"The 15 Best AI Sentiment Analysis Tools [Tested in 2025]\">sentiment analysis tools<\/a> can be difficult.<\/p>\n\n\n\n<p>Why is that?<\/p>\n\n\n\n<p>As Krzysztof Rajda highlighted, <strong>analysis based on a large volume of data is time-consuming<\/strong>.<\/p>\n\n\n\n<p>Sure, you can try to research and analyze mentions about your business on your own, but it will take up a lot of your time and energy. <\/p>\n\n\n\n<p>Furthermore, the risk of human error is quite significant in that case.<\/p>\n\n\n\n<p>In case you have a technical background, here&#8217;s a sentiment analysis process, in a nutshell:<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>Define your goal<\/strong> \u2013 Do you want to see if the text is positive, negative, or neutral?<\/li>\n\n\n\n<li><strong>Collect and clean text<\/strong> \u2013 Gather reviews, comments, or posts, then remove extra symbols or messy parts.<\/li>\n\n\n\n<li><strong>Choose a method:<\/strong>\n<ul class=\"wp-block-list\">\n<li>Use a word list (positive\/negative words).<\/li>\n\n\n\n<li>Or use an AI tool that\u2019s already trained to detect emotions.<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><strong>Test it<\/strong> \u2013 Check if the results make sense.<\/li>\n\n\n\n<li><strong>Apply it<\/strong> \u2013 Run it on new text and look at the overall mood or trends.<\/li>\n<\/ol>\n\n\n\n<p>Sounds quite complicated, doesn&#8217;t it? The good news is, AI tools can do the work for you.<\/p>\n\n\n\n<p class=\"has-background\" style=\"background-color:#e8f4ee\"><strong>In short:<\/strong> You can do sentiment analysis manually for small projects, but most brands in 2025<\/p>\n\n\n\n<p class=\"has-background\" style=\"background-color:#e8f4ee\"> rely on AI-powered tools because they\u2019re faster, scalable, and deliver real-time insights.<\/p>\n\n\n\n<p>Below, you can check the brand sentiment analysis using the tool Brand24.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"case-study\"><strong> <\/strong>Brand sentiment analysis case study: Duolingo<\/h2>\n\n\n\n<p>Duolingo had some ups and downs recently due to the AI replacements within the company controversy.<\/p>\n\n\n\n<p>So, let\u2019s find out what exactly happened!<\/p>\n\n\n\n<p>By analyzing sentiment from social media mentions, we can gain valuable insights into public perception of the Duolingo brand.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>01 Overall sentiment<\/strong><\/h3>\n\n\n\n<p>The overall sentiment around Duolingo remains positive, with:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>34% positive mentions<\/li>\n\n\n\n<li>19% negative mentions<\/li>\n<\/ul>\n\n\n\n<figure data-wp-context=\"{&quot;imageId&quot;:&quot;69d2bab3a02b6&quot;}\" data-wp-interactive=\"core\/image\" data-wp-key=\"69d2bab3a02b6\" class=\"wp-block-image aligncenter size-full wp-lightbox-container\"><img loading=\"lazy\" decoding=\"async\" width=\"736\" height=\"500\" data-wp-class--hide=\"state.isContentHidden\" data-wp-class--show=\"state.isContentVisible\" data-wp-init=\"callbacks.setButtonStyles\" data-wp-on--click=\"actions.showLightbox\" data-wp-on--load=\"callbacks.setButtonStyles\" data-wp-on-window--resize=\"callbacks.setButtonStyles\" src=\"https:\/\/brand24.com\/blog\/app\/uploads\/2024\/06\/sentiment-analysis-sentiment-breakdown-duolingo.png\" alt=\"Aspect based sentiment analysis: Sentiment breakdown \" class=\"wp-image-176252\" srcset=\"https:\/\/brand24.com\/blog\/app\/uploads\/2024\/06\/sentiment-analysis-sentiment-breakdown-duolingo.png 736w, https:\/\/brand24.com\/blog\/app\/uploads\/2024\/06\/sentiment-analysis-sentiment-breakdown-duolingo-18x12.png 18w, https:\/\/brand24.com\/blog\/app\/uploads\/2024\/06\/sentiment-analysis-sentiment-breakdown-duolingo-300x204.png 300w, https:\/\/brand24.com\/blog\/app\/uploads\/2024\/06\/sentiment-analysis-sentiment-breakdown-duolingo-234x159.png 234w\" sizes=\"auto, (max-width: 736px) 100vw, 736px\" \/><button\n\t\t\tclass=\"lightbox-trigger\"\n\t\t\ttype=\"button\"\n\t\t\taria-haspopup=\"dialog\"\n\t\t\taria-label=\"Enlarge\"\n\t\t\tdata-wp-init=\"callbacks.initTriggerButton\"\n\t\t\tdata-wp-on--click=\"actions.showLightbox\"\n\t\t\tdata-wp-style--right=\"state.imageButtonRight\"\n\t\t\tdata-wp-style--top=\"state.imageButtonTop\"\n\t\t>\n\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"12\" height=\"12\" fill=\"none\" viewBox=\"0 0 12 12\">\n\t\t\t\t<path fill=\"#fff\" d=\"M2 0a2 2 0 0 0-2 2v2h1.5V2a.5.5 0 0 1 .5-.5h2V0H2Zm2 10.5H2a.5.5 0 0 1-.5-.5V8H0v2a2 2 0 0 0 2 2h2v-1.5ZM8 12v-1.5h2a.5.5 0 0 0 .5-.5V8H12v2a2 2 0 0 1-2 2H8Zm2-12a2 2 0 0 1 2 2v2h-1.5V2a.5.5 0 0 0-.5-.5H8V0h2Z\" \/>\n\t\t\t<\/svg>\n\t\t<\/button><figcaption class=\"wp-element-caption\">Aspect based sentiment analysis: Sentiment breakdown by Brand24<\/figcaption><\/figure>\n\n\n\n<div class=\"acf-simple-cta acf-simple-cta--default acf-simple-cta--no-icon acf-simple-cta--small\">\n    <div class=\"acf-simple-cta__wrapper\">\n        <div class=\"acf-simple-cta__row\">\n            <div class=\"acf-simple-cta__content\">\n                                                    <div class=\"acf-simple-cta__title\">Start Sentiment Analysis Now!<\/div>\n                            <\/div>\n                            <a href=\"https:\/\/app.brand24.com\/user\/register-account\/?custom_form=118\" class=\"acf-simple-cta__btn\" target=\"\">Start Trial!<\/a>\n                    <\/div>\n    <\/div>\n<\/div>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>02 Sentiment by categories<\/strong><\/h3>\n\n\n\n<p>Duolingo\u2019s sentiment looks very different across different social media platforms.<\/p>\n\n\n\n<p>Most of the buzz happens on X (Twitter). There, people express their frustrations most. <\/p>\n\n\n\n<p>On the other hand, Instagram has mostly good vibes.<\/p>\n\n\n\n<p>Duolingo should definitely focus on addressing the negativity on X.<\/p>\n\n\n\n<p>That\u2019s why it\u2019s so important to check how sentiment shapes in different places. It allows brands to better tailor their efforts and messaging.<\/p>\n\n\n\n<figure data-wp-context=\"{&quot;imageId&quot;:&quot;69d2bab3a06eb&quot;}\" data-wp-interactive=\"core\/image\" data-wp-key=\"69d2bab3a06eb\" class=\"wp-block-image aligncenter size-full wp-lightbox-container\"><img loading=\"lazy\" decoding=\"async\" width=\"787\" height=\"500\" data-wp-class--hide=\"state.isContentHidden\" data-wp-class--show=\"state.isContentVisible\" data-wp-init=\"callbacks.setButtonStyles\" data-wp-on--click=\"actions.showLightbox\" data-wp-on--load=\"callbacks.setButtonStyles\" data-wp-on-window--resize=\"callbacks.setButtonStyles\" src=\"https:\/\/brand24.com\/blog\/app\/uploads\/2024\/06\/sentiment-analysis-sentiment-by-platform.png\" alt=\"Sentimental breakdown and categories share of Duolingo \" class=\"wp-image-176253\" srcset=\"https:\/\/brand24.com\/blog\/app\/uploads\/2024\/06\/sentiment-analysis-sentiment-by-platform.png 787w, https:\/\/brand24.com\/blog\/app\/uploads\/2024\/06\/sentiment-analysis-sentiment-by-platform-18x12.png 18w, https:\/\/brand24.com\/blog\/app\/uploads\/2024\/06\/sentiment-analysis-sentiment-by-platform-300x191.png 300w, https:\/\/brand24.com\/blog\/app\/uploads\/2024\/06\/sentiment-analysis-sentiment-by-platform-248x159.png 248w\" sizes=\"auto, (max-width: 787px) 100vw, 787px\" \/><button\n\t\t\tclass=\"lightbox-trigger\"\n\t\t\ttype=\"button\"\n\t\t\taria-haspopup=\"dialog\"\n\t\t\taria-label=\"Enlarge\"\n\t\t\tdata-wp-init=\"callbacks.initTriggerButton\"\n\t\t\tdata-wp-on--click=\"actions.showLightbox\"\n\t\t\tdata-wp-style--right=\"state.imageButtonRight\"\n\t\t\tdata-wp-style--top=\"state.imageButtonTop\"\n\t\t>\n\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"12\" height=\"12\" fill=\"none\" viewBox=\"0 0 12 12\">\n\t\t\t\t<path fill=\"#fff\" d=\"M2 0a2 2 0 0 0-2 2v2h1.5V2a.5.5 0 0 1 .5-.5h2V0H2Zm2 10.5H2a.5.5 0 0 1-.5-.5V8H0v2a2 2 0 0 0 2 2h2v-1.5ZM8 12v-1.5h2a.5.5 0 0 0 .5-.5V8H12v2a2 2 0 0 1-2 2H8Zm2-12a2 2 0 0 1 2 2v2h-1.5V2a.5.5 0 0 0-.5-.5H8V0h2Z\" \/>\n\t\t\t<\/svg>\n\t\t<\/button><figcaption class=\"wp-element-caption\">Sentimental breakdown and categories share of Duolingo provided by Brand24<\/figcaption><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>03 Sentiment over time<\/strong><\/h3>\n\n\n\n<p>In the last 3 months, Duolingo received almost <strong>300k mentions<\/strong>. Over <strong>93k are positive, 53k are negative, and the rest are neutral<\/strong>.<\/p>\n\n\n\n<p>The chart inside the <a href=\"https:\/\/brand24.com\/social-listening-dashboard\/\" target=\"_blank\" rel=\"noreferrer noopener\">sentiment analysis dashboard<\/a> shows the rise of negative mentions around April.<\/p>\n\n\n\n<p>It was also the time when more negative mentions occurred than positive ones.<\/p>\n\n\n\n<figure data-wp-context=\"{&quot;imageId&quot;:&quot;69d2bab3a09e6&quot;}\" data-wp-interactive=\"core\/image\" data-wp-key=\"69d2bab3a09e6\" class=\"wp-block-image aligncenter size-full wp-lightbox-container\"><img loading=\"lazy\" decoding=\"async\" width=\"1000\" height=\"238\" data-wp-class--hide=\"state.isContentHidden\" data-wp-class--show=\"state.isContentVisible\" data-wp-init=\"callbacks.setButtonStyles\" data-wp-on--click=\"actions.showLightbox\" data-wp-on--load=\"callbacks.setButtonStyles\" data-wp-on-window--resize=\"callbacks.setButtonStyles\" src=\"https:\/\/brand24.com\/blog\/app\/uploads\/2024\/06\/sentiment-analysis-sentiment-over-time.png\" alt=\"Sentiment analysis tools: Sentiment chart of Duolingo\" class=\"wp-image-176254\" srcset=\"https:\/\/brand24.com\/blog\/app\/uploads\/2024\/06\/sentiment-analysis-sentiment-over-time.png 1000w, https:\/\/brand24.com\/blog\/app\/uploads\/2024\/06\/sentiment-analysis-sentiment-over-time-18x4.png 18w, https:\/\/brand24.com\/blog\/app\/uploads\/2024\/06\/sentiment-analysis-sentiment-over-time-300x71.png 300w, https:\/\/brand24.com\/blog\/app\/uploads\/2024\/06\/sentiment-analysis-sentiment-over-time-248x59.png 248w\" sizes=\"auto, (max-width: 1000px) 100vw, 1000px\" \/><button\n\t\t\tclass=\"lightbox-trigger\"\n\t\t\ttype=\"button\"\n\t\t\taria-haspopup=\"dialog\"\n\t\t\taria-label=\"Enlarge\"\n\t\t\tdata-wp-init=\"callbacks.initTriggerButton\"\n\t\t\tdata-wp-on--click=\"actions.showLightbox\"\n\t\t\tdata-wp-style--right=\"state.imageButtonRight\"\n\t\t\tdata-wp-style--top=\"state.imageButtonTop\"\n\t\t>\n\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"12\" height=\"12\" fill=\"none\" viewBox=\"0 0 12 12\">\n\t\t\t\t<path fill=\"#fff\" d=\"M2 0a2 2 0 0 0-2 2v2h1.5V2a.5.5 0 0 1 .5-.5h2V0H2Zm2 10.5H2a.5.5 0 0 1-.5-.5V8H0v2a2 2 0 0 0 2 2h2v-1.5ZM8 12v-1.5h2a.5.5 0 0 0 .5-.5V8H12v2a2 2 0 0 1-2 2H8Zm2-12a2 2 0 0 1 2 2v2h-1.5V2a.5.5 0 0 0-.5-.5H8V0h2Z\" \/>\n\t\t\t<\/svg>\n\t\t<\/button><figcaption class=\"wp-element-caption\">Sentiment analysis tools: Sentiment chart of Duolingo by Brand24<\/figcaption><\/figure>\n\n\n\n<p>After selecting April and May as a time range, I used the <strong>AI Events <\/strong>feature and discovered that fans didn\u2019t like the AI replacements in the company:<\/p>\n\n\n\n<figure data-wp-context=\"{&quot;imageId&quot;:&quot;69d2bab3a0cda&quot;}\" data-wp-interactive=\"core\/image\" data-wp-key=\"69d2bab3a0cda\" class=\"wp-block-image aligncenter size-full wp-lightbox-container\"><img loading=\"lazy\" decoding=\"async\" width=\"1000\" height=\"305\" data-wp-class--hide=\"state.isContentHidden\" data-wp-class--show=\"state.isContentVisible\" data-wp-init=\"callbacks.setButtonStyles\" data-wp-on--click=\"actions.showLightbox\" data-wp-on--load=\"callbacks.setButtonStyles\" data-wp-on-window--resize=\"callbacks.setButtonStyles\" src=\"https:\/\/brand24.com\/blog\/app\/uploads\/2024\/06\/sentiment-analysis-ai-event-detector-brand24.png\" alt=\"What's behind negative sentiment? AI Events feature by Brand24\" class=\"wp-image-176255\" srcset=\"https:\/\/brand24.com\/blog\/app\/uploads\/2024\/06\/sentiment-analysis-ai-event-detector-brand24.png 1000w, https:\/\/brand24.com\/blog\/app\/uploads\/2024\/06\/sentiment-analysis-ai-event-detector-brand24-18x5.png 18w, https:\/\/brand24.com\/blog\/app\/uploads\/2024\/06\/sentiment-analysis-ai-event-detector-brand24-300x92.png 300w, https:\/\/brand24.com\/blog\/app\/uploads\/2024\/06\/sentiment-analysis-ai-event-detector-brand24-248x76.png 248w\" sizes=\"auto, (max-width: 1000px) 100vw, 1000px\" \/><button\n\t\t\tclass=\"lightbox-trigger\"\n\t\t\ttype=\"button\"\n\t\t\taria-haspopup=\"dialog\"\n\t\t\taria-label=\"Enlarge\"\n\t\t\tdata-wp-init=\"callbacks.initTriggerButton\"\n\t\t\tdata-wp-on--click=\"actions.showLightbox\"\n\t\t\tdata-wp-style--right=\"state.imageButtonRight\"\n\t\t\tdata-wp-style--top=\"state.imageButtonTop\"\n\t\t>\n\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"12\" height=\"12\" fill=\"none\" viewBox=\"0 0 12 12\">\n\t\t\t\t<path fill=\"#fff\" d=\"M2 0a2 2 0 0 0-2 2v2h1.5V2a.5.5 0 0 1 .5-.5h2V0H2Zm2 10.5H2a.5.5 0 0 1-.5-.5V8H0v2a2 2 0 0 0 2 2h2v-1.5ZM8 12v-1.5h2a.5.5 0 0 0 .5-.5V8H12v2a2 2 0 0 1-2 2H8Zm2-12a2 2 0 0 1 2 2v2h-1.5V2a.5.5 0 0 0-.5-.5H8V0h2Z\" \/>\n\t\t\t<\/svg>\n\t\t<\/button><figcaption class=\"wp-element-caption\">What&#8217;s behind negative sentiment? AI Events feature by Brand24.<\/figcaption><\/figure>\n\n\n\n<p>Monitoring sentiment over time helps identify emerging trends in customer feedback and public opinion, allowing you to spot new shifts or patterns as they develop.<\/p>\n\n\n\n<p>As you can see, thanks to sentiment analysis, you can monitor changes in customer emotions easily.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>04 Sentiment by topic<\/strong><\/h3>\n\n\n\n<p>Thanks to the<a href=\"https:\/\/brand24.com\/topic-analysis\/\" target=\"_blank\" rel=\"noopener\" title=\"\"> AI Topic Analysis<\/a> feature, I discovered the most important and trending topics related to Duolingo:<\/p>\n\n\n\n<figure data-wp-context=\"{&quot;imageId&quot;:&quot;69d2bab3a0fd1&quot;}\" data-wp-interactive=\"core\/image\" data-wp-key=\"69d2bab3a0fd1\" class=\"wp-block-image aligncenter size-full wp-lightbox-container\"><img loading=\"lazy\" decoding=\"async\" width=\"1000\" height=\"339\" data-wp-class--hide=\"state.isContentHidden\" data-wp-class--show=\"state.isContentVisible\" data-wp-init=\"callbacks.setButtonStyles\" data-wp-on--click=\"actions.showLightbox\" data-wp-on--load=\"callbacks.setButtonStyles\" data-wp-on-window--resize=\"callbacks.setButtonStyles\" src=\"https:\/\/brand24.com\/blog\/app\/uploads\/2024\/06\/sentiment-analysis-topic-analysis.png\" alt=\"AI Topic Analysis feature\" class=\"wp-image-176256\" srcset=\"https:\/\/brand24.com\/blog\/app\/uploads\/2024\/06\/sentiment-analysis-topic-analysis.png 1000w, https:\/\/brand24.com\/blog\/app\/uploads\/2024\/06\/sentiment-analysis-topic-analysis-18x6.png 18w, https:\/\/brand24.com\/blog\/app\/uploads\/2024\/06\/sentiment-analysis-topic-analysis-300x102.png 300w, https:\/\/brand24.com\/blog\/app\/uploads\/2024\/06\/sentiment-analysis-topic-analysis-248x84.png 248w\" sizes=\"auto, (max-width: 1000px) 100vw, 1000px\" \/><button\n\t\t\tclass=\"lightbox-trigger\"\n\t\t\ttype=\"button\"\n\t\t\taria-haspopup=\"dialog\"\n\t\t\taria-label=\"Enlarge\"\n\t\t\tdata-wp-init=\"callbacks.initTriggerButton\"\n\t\t\tdata-wp-on--click=\"actions.showLightbox\"\n\t\t\tdata-wp-style--right=\"state.imageButtonRight\"\n\t\t\tdata-wp-style--top=\"state.imageButtonTop\"\n\t\t>\n\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"12\" height=\"12\" fill=\"none\" viewBox=\"0 0 12 12\">\n\t\t\t\t<path fill=\"#fff\" d=\"M2 0a2 2 0 0 0-2 2v2h1.5V2a.5.5 0 0 1 .5-.5h2V0H2Zm2 10.5H2a.5.5 0 0 1-.5-.5V8H0v2a2 2 0 0 0 2 2h2v-1.5ZM8 12v-1.5h2a.5.5 0 0 0 .5-.5V8H12v2a2 2 0 0 1-2 2H8Zm2-12a2 2 0 0 1 2 2v2h-1.5V2a.5.5 0 0 0-.5-.5H8V0h2Z\" \/>\n\t\t\t<\/svg>\n\t\t<\/button><figcaption class=\"wp-element-caption\">AI Topic Analysis feature by Brand24<\/figcaption><\/figure>\n\n\n\n<p>And I can easily check what their sentiment is by clicking the &#8220;more stats&#8221; button.<\/p>\n\n\n\n<p>Here&#8217;s what it looks like based on the most popular topic &#8211; <strong>Duolingo Memes<\/strong>.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>This topic has <strong>27% of positive mentions and 21% of negative mentions<\/strong>.<\/li>\n<\/ul>\n\n\n\n<figure data-wp-context=\"{&quot;imageId&quot;:&quot;69d2bab3a127c&quot;}\" data-wp-interactive=\"core\/image\" data-wp-key=\"69d2bab3a127c\" class=\"wp-block-image aligncenter size-full wp-lightbox-container\"><img loading=\"lazy\" decoding=\"async\" width=\"960\" height=\"500\" data-wp-class--hide=\"state.isContentHidden\" data-wp-class--show=\"state.isContentVisible\" data-wp-init=\"callbacks.setButtonStyles\" data-wp-on--click=\"actions.showLightbox\" data-wp-on--load=\"callbacks.setButtonStyles\" data-wp-on-window--resize=\"callbacks.setButtonStyles\" src=\"https:\/\/brand24.com\/blog\/app\/uploads\/2024\/06\/sentiment-analysis-sentiment-breakdown.png\" alt=\"Sentiment share of specific topic (generating the biggest number of negative mentions) \" class=\"wp-image-176257\" srcset=\"https:\/\/brand24.com\/blog\/app\/uploads\/2024\/06\/sentiment-analysis-sentiment-breakdown.png 960w, https:\/\/brand24.com\/blog\/app\/uploads\/2024\/06\/sentiment-analysis-sentiment-breakdown-18x9.png 18w, https:\/\/brand24.com\/blog\/app\/uploads\/2024\/06\/sentiment-analysis-sentiment-breakdown-300x156.png 300w, https:\/\/brand24.com\/blog\/app\/uploads\/2024\/06\/sentiment-analysis-sentiment-breakdown-248x129.png 248w\" sizes=\"auto, (max-width: 960px) 100vw, 960px\" \/><button\n\t\t\tclass=\"lightbox-trigger\"\n\t\t\ttype=\"button\"\n\t\t\taria-haspopup=\"dialog\"\n\t\t\taria-label=\"Enlarge\"\n\t\t\tdata-wp-init=\"callbacks.initTriggerButton\"\n\t\t\tdata-wp-on--click=\"actions.showLightbox\"\n\t\t\tdata-wp-style--right=\"state.imageButtonRight\"\n\t\t\tdata-wp-style--top=\"state.imageButtonTop\"\n\t\t>\n\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"12\" height=\"12\" fill=\"none\" viewBox=\"0 0 12 12\">\n\t\t\t\t<path fill=\"#fff\" d=\"M2 0a2 2 0 0 0-2 2v2h1.5V2a.5.5 0 0 1 .5-.5h2V0H2Zm2 10.5H2a.5.5 0 0 1-.5-.5V8H0v2a2 2 0 0 0 2 2h2v-1.5ZM8 12v-1.5h2a.5.5 0 0 0 .5-.5V8H12v2a2 2 0 0 1-2 2H8Zm2-12a2 2 0 0 1 2 2v2h-1.5V2a.5.5 0 0 0-.5-.5H8V0h2Z\" \/>\n\t\t\t<\/svg>\n\t\t<\/button><figcaption class=\"wp-element-caption\">Sentiment share of a specific topic (generating the biggest number of negative mentions)<\/figcaption><\/figure>\n\n\n\n<ul class=\"wp-block-list\">\n<li>The most common emotions within the topic are <strong>admiration and disgust<\/strong>.<\/li>\n<\/ul>\n\n\n\n<figure data-wp-context=\"{&quot;imageId&quot;:&quot;69d2bab3a1512&quot;}\" data-wp-interactive=\"core\/image\" data-wp-key=\"69d2bab3a1512\" class=\"wp-block-image aligncenter size-full wp-lightbox-container\"><img loading=\"lazy\" decoding=\"async\" width=\"983\" height=\"500\" data-wp-class--hide=\"state.isContentHidden\" data-wp-class--show=\"state.isContentVisible\" data-wp-init=\"callbacks.setButtonStyles\" data-wp-on--click=\"actions.showLightbox\" data-wp-on--load=\"callbacks.setButtonStyles\" data-wp-on-window--resize=\"callbacks.setButtonStyles\" src=\"https:\/\/brand24.com\/blog\/app\/uploads\/2024\/06\/sentiment-analysis-emotions-share-ai-feature.png\" alt=\"AI Emotions feature by Brand24\" class=\"wp-image-176258\" srcset=\"https:\/\/brand24.com\/blog\/app\/uploads\/2024\/06\/sentiment-analysis-emotions-share-ai-feature.png 983w, https:\/\/brand24.com\/blog\/app\/uploads\/2024\/06\/sentiment-analysis-emotions-share-ai-feature-18x9.png 18w, https:\/\/brand24.com\/blog\/app\/uploads\/2024\/06\/sentiment-analysis-emotions-share-ai-feature-300x153.png 300w, https:\/\/brand24.com\/blog\/app\/uploads\/2024\/06\/sentiment-analysis-emotions-share-ai-feature-248x126.png 248w\" sizes=\"auto, (max-width: 983px) 100vw, 983px\" \/><button\n\t\t\tclass=\"lightbox-trigger\"\n\t\t\ttype=\"button\"\n\t\t\taria-haspopup=\"dialog\"\n\t\t\taria-label=\"Enlarge\"\n\t\t\tdata-wp-init=\"callbacks.initTriggerButton\"\n\t\t\tdata-wp-on--click=\"actions.showLightbox\"\n\t\t\tdata-wp-style--right=\"state.imageButtonRight\"\n\t\t\tdata-wp-style--top=\"state.imageButtonTop\"\n\t\t>\n\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"12\" height=\"12\" fill=\"none\" viewBox=\"0 0 12 12\">\n\t\t\t\t<path fill=\"#fff\" d=\"M2 0a2 2 0 0 0-2 2v2h1.5V2a.5.5 0 0 1 .5-.5h2V0H2Zm2 10.5H2a.5.5 0 0 1-.5-.5V8H0v2a2 2 0 0 0 2 2h2v-1.5ZM8 12v-1.5h2a.5.5 0 0 0 .5-.5V8H12v2a2 2 0 0 1-2 2H8Zm2-12a2 2 0 0 1 2 2v2h-1.5V2a.5.5 0 0 0-.5-.5H8V0h2Z\" \/>\n\t\t\t<\/svg>\n\t\t<\/button><figcaption class=\"wp-element-caption\">AI Emotion Analysis feature by Brand24<\/figcaption><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>05 Sentiment of speaking authors<\/strong><\/h3>\n\n\n\n<p>Now, let\u2019s detect who is talking about Duolingo in a positive and negative way.<\/p>\n\n\n\n<p>You can find this analysis in the &#8220;Influencer Analysis&#8221; Tab.<\/p>\n\n\n\n<p>Here are the most positive people:<\/p>\n\n\n\n<figure data-wp-context=\"{&quot;imageId&quot;:&quot;69d2bab3a17b1&quot;}\" data-wp-interactive=\"core\/image\" data-wp-key=\"69d2bab3a17b1\" class=\"wp-block-image aligncenter size-full wp-lightbox-container\"><img loading=\"lazy\" decoding=\"async\" width=\"850\" height=\"500\" data-wp-class--hide=\"state.isContentHidden\" data-wp-class--show=\"state.isContentVisible\" data-wp-init=\"callbacks.setButtonStyles\" data-wp-on--click=\"actions.showLightbox\" data-wp-on--load=\"callbacks.setButtonStyles\" data-wp-on-window--resize=\"callbacks.setButtonStyles\" src=\"https:\/\/brand24.com\/blog\/app\/uploads\/2024\/06\/sentiment-analysis-people-talking-positive.png\" alt=\"Participation of positively speaking authors \" class=\"wp-image-176259\" srcset=\"https:\/\/brand24.com\/blog\/app\/uploads\/2024\/06\/sentiment-analysis-people-talking-positive.png 850w, https:\/\/brand24.com\/blog\/app\/uploads\/2024\/06\/sentiment-analysis-people-talking-positive-18x12.png 18w, https:\/\/brand24.com\/blog\/app\/uploads\/2024\/06\/sentiment-analysis-people-talking-positive-300x176.png 300w, https:\/\/brand24.com\/blog\/app\/uploads\/2024\/06\/sentiment-analysis-people-talking-positive-248x146.png 248w\" sizes=\"auto, (max-width: 850px) 100vw, 850px\" \/><button\n\t\t\tclass=\"lightbox-trigger\"\n\t\t\ttype=\"button\"\n\t\t\taria-haspopup=\"dialog\"\n\t\t\taria-label=\"Enlarge\"\n\t\t\tdata-wp-init=\"callbacks.initTriggerButton\"\n\t\t\tdata-wp-on--click=\"actions.showLightbox\"\n\t\t\tdata-wp-style--right=\"state.imageButtonRight\"\n\t\t\tdata-wp-style--top=\"state.imageButtonTop\"\n\t\t>\n\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"12\" height=\"12\" fill=\"none\" viewBox=\"0 0 12 12\">\n\t\t\t\t<path fill=\"#fff\" d=\"M2 0a2 2 0 0 0-2 2v2h1.5V2a.5.5 0 0 1 .5-.5h2V0H2Zm2 10.5H2a.5.5 0 0 1-.5-.5V8H0v2a2 2 0 0 0 2 2h2v-1.5ZM8 12v-1.5h2a.5.5 0 0 0 .5-.5V8H12v2a2 2 0 0 1-2 2H8Zm2-12a2 2 0 0 1 2 2v2h-1.5V2a.5.5 0 0 0-.5-.5H8V0h2Z\" \/>\n\t\t\t<\/svg>\n\t\t<\/button><figcaption class=\"wp-element-caption\">Participation of positively speaking authors<\/figcaption><\/figure>\n\n\n\n<p>And here are the most negative people:<\/p>\n\n\n\n<figure data-wp-context=\"{&quot;imageId&quot;:&quot;69d2bab3a1a1a&quot;}\" data-wp-interactive=\"core\/image\" data-wp-key=\"69d2bab3a1a1a\" class=\"wp-block-image aligncenter size-full wp-lightbox-container\"><img loading=\"lazy\" decoding=\"async\" width=\"907\" height=\"500\" data-wp-class--hide=\"state.isContentHidden\" data-wp-class--show=\"state.isContentVisible\" data-wp-init=\"callbacks.setButtonStyles\" data-wp-on--click=\"actions.showLightbox\" data-wp-on--load=\"callbacks.setButtonStyles\" data-wp-on-window--resize=\"callbacks.setButtonStyles\" src=\"https:\/\/brand24.com\/blog\/app\/uploads\/2024\/06\/sentiment-analysis-people-talking-negative.png\" alt=\"Participation of negatively speaking authors\" class=\"wp-image-176260\" srcset=\"https:\/\/brand24.com\/blog\/app\/uploads\/2024\/06\/sentiment-analysis-people-talking-negative.png 907w, https:\/\/brand24.com\/blog\/app\/uploads\/2024\/06\/sentiment-analysis-people-talking-negative-18x10.png 18w, https:\/\/brand24.com\/blog\/app\/uploads\/2024\/06\/sentiment-analysis-people-talking-negative-300x165.png 300w, https:\/\/brand24.com\/blog\/app\/uploads\/2024\/06\/sentiment-analysis-people-talking-negative-248x137.png 248w\" sizes=\"auto, (max-width: 907px) 100vw, 907px\" \/><button\n\t\t\tclass=\"lightbox-trigger\"\n\t\t\ttype=\"button\"\n\t\t\taria-haspopup=\"dialog\"\n\t\t\taria-label=\"Enlarge\"\n\t\t\tdata-wp-init=\"callbacks.initTriggerButton\"\n\t\t\tdata-wp-on--click=\"actions.showLightbox\"\n\t\t\tdata-wp-style--right=\"state.imageButtonRight\"\n\t\t\tdata-wp-style--top=\"state.imageButtonTop\"\n\t\t>\n\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"12\" height=\"12\" fill=\"none\" viewBox=\"0 0 12 12\">\n\t\t\t\t<path fill=\"#fff\" d=\"M2 0a2 2 0 0 0-2 2v2h1.5V2a.5.5 0 0 1 .5-.5h2V0H2Zm2 10.5H2a.5.5 0 0 1-.5-.5V8H0v2a2 2 0 0 0 2 2h2v-1.5ZM8 12v-1.5h2a.5.5 0 0 0 .5-.5V8H12v2a2 2 0 0 1-2 2H8Zm2-12a2 2 0 0 1 2 2v2h-1.5V2a.5.5 0 0 0-.5-.5H8V0h2Z\" \/>\n\t\t\t<\/svg>\n\t\t<\/button><figcaption class=\"wp-element-caption\">Participation of negatively speaking authors<\/figcaption><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>06 Context of a discussion<\/strong><\/h3>\n\n\n\n<p>During the last 3 months, discussions around Duolingo were mostly around words like:<\/p>\n\n\n\n<figure data-wp-context=\"{&quot;imageId&quot;:&quot;69d2bab3a1ce7&quot;}\" data-wp-interactive=\"core\/image\" data-wp-key=\"69d2bab3a1ce7\" class=\"wp-block-image aligncenter size-full wp-lightbox-container\"><img loading=\"lazy\" decoding=\"async\" width=\"818\" height=\"500\" data-wp-class--hide=\"state.isContentHidden\" data-wp-class--show=\"state.isContentVisible\" data-wp-init=\"callbacks.setButtonStyles\" data-wp-on--click=\"actions.showLightbox\" data-wp-on--load=\"callbacks.setButtonStyles\" data-wp-on-window--resize=\"callbacks.setButtonStyles\" src=\"https:\/\/brand24.com\/blog\/app\/uploads\/2024\/06\/sentiment-analysis-context-of-discussion.png\" alt=\"Context of discussion about Duolingo provided\" class=\"wp-image-176261\" srcset=\"https:\/\/brand24.com\/blog\/app\/uploads\/2024\/06\/sentiment-analysis-context-of-discussion.png 818w, https:\/\/brand24.com\/blog\/app\/uploads\/2024\/06\/sentiment-analysis-context-of-discussion-18x12.png 18w, https:\/\/brand24.com\/blog\/app\/uploads\/2024\/06\/sentiment-analysis-context-of-discussion-300x183.png 300w, https:\/\/brand24.com\/blog\/app\/uploads\/2024\/06\/sentiment-analysis-context-of-discussion-248x152.png 248w\" sizes=\"auto, (max-width: 818px) 100vw, 818px\" \/><button\n\t\t\tclass=\"lightbox-trigger\"\n\t\t\ttype=\"button\"\n\t\t\taria-haspopup=\"dialog\"\n\t\t\taria-label=\"Enlarge\"\n\t\t\tdata-wp-init=\"callbacks.initTriggerButton\"\n\t\t\tdata-wp-on--click=\"actions.showLightbox\"\n\t\t\tdata-wp-style--right=\"state.imageButtonRight\"\n\t\t\tdata-wp-style--top=\"state.imageButtonTop\"\n\t\t>\n\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"12\" height=\"12\" fill=\"none\" viewBox=\"0 0 12 12\">\n\t\t\t\t<path fill=\"#fff\" d=\"M2 0a2 2 0 0 0-2 2v2h1.5V2a.5.5 0 0 1 .5-.5h2V0H2Zm2 10.5H2a.5.5 0 0 1-.5-.5V8H0v2a2 2 0 0 0 2 2h2v-1.5ZM8 12v-1.5h2a.5.5 0 0 0 .5-.5V8H12v2a2 2 0 0 1-2 2H8Zm2-12a2 2 0 0 1 2 2v2h-1.5V2a.5.5 0 0 0-.5-.5H8V0h2Z\" \/>\n\t\t\t<\/svg>\n\t\t<\/button><figcaption class=\"wp-element-caption\">Context of discussion about Duolingo<\/figcaption><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"how-does-work\"><strong>How does sentiment analysis work?<\/strong><\/h2>\n\n\n\n<p>Sentiment analysis uses natural language processing (NLP) and machine learning (ML) to classify text as positive, neutral, or negative.<\/p>\n\n\n\n<p>Sentiment analysis technologies might use various types of algorithms.<\/p>\n\n\n\n<p>What kind of?<\/p>\n\n\n\n<p><strong>1. Automatic (Machine Learning)<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Learns from labeled data (positive\/negative\/neutral).<\/li>\n\n\n\n<li>Finds patterns and applies them to new texts.<\/li>\n\n\n\n<li>Can process huge datasets, but often works like a \u201cblack box.\u201d<\/li>\n\n\n\n<li>Accuracy depends heavily on training data.<\/li>\n<\/ul>\n\n\n\n<p><strong>2. Rule-Based<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Relies on predefined lexicons and rules (e.g., word lists, syntax).<\/li>\n\n\n\n<li>Transparent and easy to implement.<\/li>\n\n\n\n<li>Struggles with complex language like negation, sarcasm, or metaphors.<\/li>\n<\/ul>\n\n\n\n<p><strong>3. Hybrid<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Combines ML accuracy with rule-based stability.<\/li>\n\n\n\n<li>Most advanced tools use this approach for the best results.<\/li>\n<\/ul>\n\n\n\n<div class=\"acf-simple-cta acf-simple-cta--default acf-simple-cta--no-icon acf-simple-cta--small\">\n    <div class=\"acf-simple-cta__wrapper\">\n        <div class=\"acf-simple-cta__row\">\n            <div class=\"acf-simple-cta__content\">\n                                                    <div class=\"acf-simple-cta__title\">Start Sentiment Analysis Now!<\/div>\n                            <\/div>\n                            <a href=\"https:\/\/app.brand24.com\/user\/register-account\/?custom_form=118\" class=\"acf-simple-cta__btn\" target=\"\">Start Trial!<\/a>\n                    <\/div>\n    <\/div>\n<\/div>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>How does sentiment analysis work in the Brand24 tool?<\/strong><\/h2>\n\n\n\n<p>To provide you with reliable information, I consulted <a href=\"https:\/\/www.linkedin.com\/in\/krzysztof-rajda\/\" target=\"_blank\" rel=\"noreferrer noopener\">Krzysztof Rajda<\/a>, Head of AI at the <a href=\"https:\/\/brand24.com\/media-monitoring-software\/\" target=\"_blank\" rel=\"noopener\" title=\"media monitoring software\">media monitoring software<\/a> company, who has over 10 years of experience.<\/p>\n\n\n\n<p>Here are his thoughts:<\/p>\n\n\n\n<p>Brand24\u2019s sentiment analysis relies on a branch of AI known as machine learning by exposing a machine learning algorithm to a massive amount of carefully selected data.<\/p>\n\n\n\n<p>It can automatically learn and improve from experience.<\/p>\n\n\n\n<p>Our AI Team incorporated recent advantages of <strong>Pretrained Language Models (PLM)<\/strong>, a technique also used by Big Tech companies (like Google, Microsoft, Facebook, or Baidu).<\/p>\n\n\n\n<p>Why?<\/p>\n\n\n\n<p><strong>It results in the machine\u2019s capabilities being as close as possible to the real understanding of the text with the current state of scientific knowledge.&nbsp;<\/strong><\/p>\n\n\n\n<p>What\u2019s more, the usage of multilingual PLM allows us to perform sentiment analysis in <strong>over 100 languages of the world!<\/strong><\/p>\n\n\n\n<p>If you&#8217;d like to learn more about this process, we recently contributed to the science with our work on multilingual sentiment analysis.<\/p>\n\n\n\n<p>It was presented at one of the most notable and prestigious<a href=\"https:\/\/aclanthology.org\/2022.wassa-1.pdf#page=138\" target=\"_blank\" rel=\"noopener\" title=\"\"> scientific conferences<\/a>.<\/p>\n\n\n\n<figure data-wp-context=\"{&quot;imageId&quot;:&quot;69d2bab3a2335&quot;}\" data-wp-interactive=\"core\/image\" data-wp-key=\"69d2bab3a2335\" class=\"wp-block-image aligncenter size-full wp-lightbox-container\"><img loading=\"lazy\" decoding=\"async\" width=\"1010\" height=\"726\" data-wp-class--hide=\"state.isContentHidden\" data-wp-class--show=\"state.isContentVisible\" data-wp-init=\"callbacks.setButtonStyles\" data-wp-on--click=\"actions.showLightbox\" data-wp-on--load=\"callbacks.setButtonStyles\" data-wp-on-window--resize=\"callbacks.setButtonStyles\" src=\"https:\/\/brand24.com\/blog\/app\/uploads\/2025\/09\/sentiment-analysis-xtb-min.png\" alt=\"Why XTB uses AI-powered sentiment analysis\" class=\"wp-image-177191\" srcset=\"https:\/\/brand24.com\/blog\/app\/uploads\/2025\/09\/sentiment-analysis-xtb-min.png 1010w, https:\/\/brand24.com\/blog\/app\/uploads\/2025\/09\/sentiment-analysis-xtb-min-18x12.png 18w, https:\/\/brand24.com\/blog\/app\/uploads\/2025\/09\/sentiment-analysis-xtb-min-300x216.png 300w, https:\/\/brand24.com\/blog\/app\/uploads\/2025\/09\/sentiment-analysis-xtb-min-221x159.png 221w\" sizes=\"auto, (max-width: 1010px) 100vw, 1010px\" \/><button\n\t\t\tclass=\"lightbox-trigger\"\n\t\t\ttype=\"button\"\n\t\t\taria-haspopup=\"dialog\"\n\t\t\taria-label=\"Enlarge\"\n\t\t\tdata-wp-init=\"callbacks.initTriggerButton\"\n\t\t\tdata-wp-on--click=\"actions.showLightbox\"\n\t\t\tdata-wp-style--right=\"state.imageButtonRight\"\n\t\t\tdata-wp-style--top=\"state.imageButtonTop\"\n\t\t>\n\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"12\" height=\"12\" fill=\"none\" viewBox=\"0 0 12 12\">\n\t\t\t\t<path fill=\"#fff\" d=\"M2 0a2 2 0 0 0-2 2v2h1.5V2a.5.5 0 0 1 .5-.5h2V0H2Zm2 10.5H2a.5.5 0 0 1-.5-.5V8H0v2a2 2 0 0 0 2 2h2v-1.5ZM8 12v-1.5h2a.5.5 0 0 0 .5-.5V8H12v2a2 2 0 0 1-2 2H8Zm2-12a2 2 0 0 1 2 2v2h-1.5V2a.5.5 0 0 0-.5-.5H8V0h2Z\" \/>\n\t\t\t<\/svg>\n\t\t<\/button><\/figure>\n\n\n\n<p class=\"has-background\" style=\"background-color:#e8f4ee\">Learn more about this process, including practical applications and real-world use cases. Check out our guide on <a href=\"https:\/\/brand24.com\/blog\/how-to-use-sentiment-analysis-in-brand24-for-brand-building\/\" target=\"_blank\" rel=\"noopener\" title=\"\">how to use sentiment analysis in Brand24 for brand building<\/a>.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"challenges\"><strong>Sentiment analysis challenges<\/strong><\/h2>\n\n\n\n<p>Although there are many<a href=\"https:\/\/brand24.com\/blog\/the-benefits-of-sentiment-analysis\/\" target=\"_blank\" rel=\"noopener\" title=\"\"> benefits of sentiment analysis<\/a>, you need to be aware of its challenges too.<\/p>\n\n\n\n<p>Due to language complexity, sentiment analysis has to face at least a couple of issues.<\/p>\n\n\n\n<p>In some cases, it gets difficult to assign a sentiment classification to a phrase.<\/p>\n\n\n\n<p>That\u2019s where natural language processing-based sentiment analysis comes in handy, as the algorithm attempts to mimic regular human language.<\/p>\n\n\n\n<p>So, what are the most common sentiment analysis challenges?<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">1. Contrastive conjunctions<\/h3>\n\n\n\n<p>Sentences can mix positive and negative words, making interpretation tricky.<\/p>\n\n\n\n<p>Example: \u201cThe weather was terrible, but the hike was amazing!\u201d<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">2. Named-entity recognition<\/h3>\n\n\n\n<p>Words may have multiple meanings depending on context.<\/p>\n\n\n\n<p>Example: \u201cEverest\u201d could mean the mountain or the movie.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">3. Anaphora resolution<\/h3>\n\n\n\n<p>Determining what pronouns or nouns refer to is often difficult.<\/p>\n\n\n\n<p>Example: \u201cWe went to the theater and had dinner. It was awful.\u201d<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">4. Sarcasm &amp; irony<\/h3>\n\n\n\n<p>Sarcasm often flips sentiment, and irony depends on tone, which the text lacks.<\/p>\n\n\n\n<p>Example: \u201cI\u2019m so happy the plane is delayed.\u201d<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">5. Internet language<\/h3>\n\n\n\n<p>Online text is full of abbreviations, misspellings, poor grammar, and complicated analysis.<\/p>\n\n\n\n<p>Example: \u201cgr8 movie lol\u201d or \u201csmh this update sux.\u201d<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">6. Negation<\/h3>\n\n\n\n<p>Negation can reverse sentiment.<\/p>\n\n\n\n<p>Example: \u201cNot good\u201d \u2260 \u201cgood.\u201d<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">7. Context<\/h3>\n\n\n\n<p>The exact meaning of the words can shift depending on the surrounding sentences.<\/p>\n\n\n\n<p>Example: \u201cThe movie was cold.\u201d (bad atmosphere vs. literally low temperature).<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">8. Idiomatic language<\/h3>\n\n\n\n<p>Idioms rarely mean what the words literally suggest, confusing algorithms.<\/p>\n\n\n\n<p>Example: \u201cBreak the ice\u201d means starting a conversation, not destroying frozen water.<\/p>\n\n\n\n<p>And finally, there&#8217;s also a data struggle that tools face:<\/p>\n\n\n\n<figure data-wp-context=\"{&quot;imageId&quot;:&quot;69d2bab3a26a8&quot;}\" data-wp-interactive=\"core\/image\" data-wp-key=\"69d2bab3a26a8\" class=\"wp-block-image aligncenter wp-lightbox-container\"><img decoding=\"async\" data-wp-class--hide=\"state.isContentHidden\" data-wp-class--show=\"state.isContentVisible\" data-wp-init=\"callbacks.setButtonStyles\" data-wp-on--click=\"actions.showLightbox\" data-wp-on--load=\"callbacks.setButtonStyles\" data-wp-on-window--resize=\"callbacks.setButtonStyles\" src=\"https:\/\/lh7-qw.googleusercontent.com\/docsz\/AD_4nXeVcFffxSCx_y6kT3SpRx1XZeLmqAUNVQ1FEy4HNSQMuIZVNQRkJO7mJ-HyoojfMqKJivdGxkIiekc7CvxdoZyUCuURM0UeaXcjZo9YCyXPtlXQYvrr86D3U2c3pSzK7B1FCp884g?key=FG2ppe5mSKtoLdTnM06PSA\" alt=\"Expert quote on data struggles in sentiment analysis tools.\"\/><button\n\t\t\tclass=\"lightbox-trigger\"\n\t\t\ttype=\"button\"\n\t\t\taria-haspopup=\"dialog\"\n\t\t\taria-label=\"Enlarge\"\n\t\t\tdata-wp-init=\"callbacks.initTriggerButton\"\n\t\t\tdata-wp-on--click=\"actions.showLightbox\"\n\t\t\tdata-wp-style--right=\"state.imageButtonRight\"\n\t\t\tdata-wp-style--top=\"state.imageButtonTop\"\n\t\t>\n\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"12\" height=\"12\" fill=\"none\" viewBox=\"0 0 12 12\">\n\t\t\t\t<path fill=\"#fff\" d=\"M2 0a2 2 0 0 0-2 2v2h1.5V2a.5.5 0 0 1 .5-.5h2V0H2Zm2 10.5H2a.5.5 0 0 1-.5-.5V8H0v2a2 2 0 0 0 2 2h2v-1.5ZM8 12v-1.5h2a.5.5 0 0 0 .5-.5V8H12v2a2 2 0 0 1-2 2H8Zm2-12a2 2 0 0 1 2 2v2h-1.5V2a.5.5 0 0 0-.5-.5H8V0h2Z\" \/>\n\t\t\t<\/svg>\n\t\t<\/button><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"how-industries-use\"><strong>How do industries use sentiment analysis tools?<\/strong><\/h2>\n\n\n\n<p>Here are some examples of how sentiment analysis is used in different industries:<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>Retailers use sentiment analysis to:<\/strong><\/li>\n<\/ol>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Improve customer satisfaction<\/li>\n\n\n\n<li>Optimize product development<\/li>\n\n\n\n<li>Manage brand reputation<\/li>\n<\/ul>\n\n\n\n<p>Real-time analysis of social media and customer reviews enables them to track shifting preferences, personalize promotions, and reduce negative feedback.<\/p>\n\n\n\n<p>According to Journal of Big Data, it can help improve retention and up to 95% increases in profit.<\/p>\n\n\n\n<div class=\"acf-simple-cta acf-simple-cta--default acf-simple-cta--no-icon acf-simple-cta--small\">\n    <div class=\"acf-simple-cta__wrapper\">\n        <div class=\"acf-simple-cta__row\">\n            <div class=\"acf-simple-cta__content\">\n                                                    <div class=\"acf-simple-cta__title\">Start Sentiment Analysis Now!<\/div>\n                            <\/div>\n                            <a href=\"https:\/\/app.brand24.com\/user\/register-account\/?custom_form=118\" class=\"acf-simple-cta__btn\" target=\"\">Start Trial!<\/a>\n                    <\/div>\n    <\/div>\n<\/div>\n\n\n\n<ol start=\"2\" class=\"wp-block-list\">\n<li><strong>Insurance companies apply sentiment analysis to:<\/strong><\/li>\n<\/ol>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Detect dissatisfaction in customer communications<\/li>\n\n\n\n<li>Flag risky or fraudulent claims<\/li>\n<\/ul>\n\n\n\n<p>By analyzing tone and emotion in policyholder interactions, insurers can improve customer experience and streamline claims processing in increasingly digitized workflows.<\/p>\n\n\n\n<ol start=\"3\" class=\"wp-block-list\">\n<li><strong>Manufacturers use sentiment analysis to improve:<\/strong><\/li>\n<\/ol>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Product quality<\/li>\n\n\n\n<li>Supply chain responsiveness<\/li>\n\n\n\n<li>Predictive maintenance.<\/li>\n<\/ul>\n\n\n\n<p>In fact, over 55% of manufacturers now use AI tools for these purposes, reflecting a trend toward data-driven quality control (source: Deloitte).<\/p>\n\n\n\n<ol start=\"4\" class=\"wp-block-list\">\n<li><strong>Media and entertainment organizations apply sentiment analysis to:<\/strong><\/li>\n<\/ol>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Personalize content delivery<\/li>\n\n\n\n<li>Track viewer engagement<\/li>\n\n\n\n<li>Optimize marketing campaigns<\/li>\n<\/ul>\n\n\n\n<p>As the OTT market grows rapidly, studios and platforms use sentiment tools to include audience reactions across social platforms in their plans.<\/p>\n\n\n\n<ol start=\"5\" class=\"wp-block-list\">\n<li><strong>Finance companies use sentiment analytics for:<\/strong><\/li>\n<\/ol>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Decision-making aligned with public and investor sentiment<\/li>\n\n\n\n<li>Enhanced risk assessment and trading strategy development<\/li>\n<\/ul>\n\n\n\n<p>Analyzing sentiment from financial news, earnings calls, and <a href=\"https:\/\/brand24.com\/blog\/social-media-sentiment-analysis\/\" target=\"_blank\" rel=\"noopener\" title=\"\">social media<\/a> enables institutions to forecast market behavior and adjust their portfolios accordingly.<\/p>\n\n\n\n<ol start=\"6\" class=\"wp-block-list\">\n<li><strong>Telecom providers use sentiment analysis to:<\/strong><\/li>\n<\/ol>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Identify churn risks<\/li>\n\n\n\n<li>Proactively intervene with service enhancements or targeted retention offers<\/li>\n<\/ul>\n\n\n\n<p>Monitoring customer interactions across channels helps telecoms detect dissatisfaction early and implement corrective measures to improve loyalty.<\/p>\n\n\n\n<ol start=\"7\" class=\"wp-block-list\">\n<li><strong>Political organizations use sentiment analysis to:<\/strong><\/li>\n<\/ol>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Analyze public sentiment on policies and services<\/li>\n\n\n\n<li>Guide decision-making during crises<\/li>\n\n\n\n<li>Improve communication strategies<\/li>\n<\/ul>\n\n\n\n<p>By evaluating voter and citizen sentiment in real time (especially during elections or emergencies), government can tailor their messaging, build trust, and respond more effectively to public concerns.<\/p>\n\n\n\n<ol start=\"8\" class=\"wp-block-list\">\n<li><strong>Healthcare use sentiment analysis to:<\/strong><\/li>\n<\/ol>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Analyze patient feedback<\/li>\n\n\n\n<li>Uncover service gaps<\/li>\n\n\n\n<li>Enhance satisfaction and care quality<\/li>\n<\/ul>\n\n\n\n<p>Hospitals can use sentiment tools to monitor emotional tone in patient reviews and survey responses, helping improve doctor-patient communication, improve treatments, and increase overall patient satisfaction.<\/p>\n\n\n\n<ol start=\"9\" class=\"wp-block-list\">\n<li><strong>Sports organizations use sentiment analysis to:<\/strong><\/li>\n<\/ol>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Understand fan perception<\/li>\n\n\n\n<li>Gauge campaign effectiveness<\/li>\n\n\n\n<li>Reduce manual survey costs<\/li>\n<\/ul>\n\n\n\n<div class=\"acf-simple-cta acf-simple-cta--default acf-simple-cta--no-icon acf-simple-cta--small\">\n    <div class=\"acf-simple-cta__wrapper\">\n        <div class=\"acf-simple-cta__row\">\n            <div class=\"acf-simple-cta__content\">\n                                                    <div class=\"acf-simple-cta__title\">Start Sentiment Analysis Now!<\/div>\n                            <\/div>\n                            <a href=\"https:\/\/app.brand24.com\/user\/register-account\/?custom_form=118\" class=\"acf-simple-cta__btn\" target=\"\">Start Trial!<\/a>\n                    <\/div>\n    <\/div>\n<\/div>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"faq\"><strong>FAQ<\/strong><\/h2>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>What is NLP sentiment analysis?<\/strong><\/h3>\n\n\n\n<p>Sentiment analysis is <strong>built on natural language processing (NLP) in general<\/strong>.<\/p>\n\n\n\n<p>It allows computers to process and make sense of human language and unstructured data.<\/p>\n\n\n\n<p>Today\u2019s NLP tools are far more advanced, making it possible to detect emotions and opinions with greater accuracy and depth.<\/p>\n\n\n\n<p>Common NLP methods used in sentiment analysis include:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Lexicon-based techniques<\/strong> that use sentiment word lists to assign polarity<\/li>\n\n\n\n<li><strong>Machine learning models<\/strong> trained on labeled data to classify text by sentiment<\/li>\n\n\n\n<li><strong>Deep learning frameworks<\/strong> like BERT and GPT that understand context and subtle tone<\/li>\n\n\n\n<li><strong>Aspect-based sentiment analysis<\/strong>, which focuses on specific parts of a product or service to determine targeted sentiment<\/li>\n<\/ul>\n\n\n\n<p>Here\u2019s an expert explanation by <strong>Krzysztof Rajda, Head of AI at Brand24<\/strong>:<\/p>\n\n\n\n<p><em>Natural Language Processing (NLP), a part of AI that deals with textual data, is an essential technique in the modern world for discovering the unknown from<\/em><a href=\"https:\/\/brand24.com\/blog\/what-is-media-monitoring-and-analysis\/\" target=\"_blank\" rel=\"noopener\" title=\"\"><em> media monitoring<\/em><\/a><em> results.<\/em><\/p>\n\n\n\n<p><em>One of the most useful NLP tasks is sentiment analysis \u2013 a method for the automatic detection of emotions behind the text.<\/em><\/p>\n\n\n\n<p><em>Sentiment can be analyzed at different levels \u2013 from identifying positive, negative, or neutral opinions, quantifying the level of positivity or negativity, to even opinion mining and identifying the fine-grained emotion behind the opinion (e.g., happiness, anger, sadness, etc.).<\/em><\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>What is the difference between sentiment analysis and emotion detection?<\/strong><\/h3>\n\n\n\n<p>Sentiment and emotion detection are related but distinct tasks in natural language processing (NLP).<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>Sentiment analysis<\/strong> focuses on determining the overall attitude or opinion expressed in a text<\/li>\n\n\n\n<li><strong>Emotion detection<\/strong> goes deeper by identifying specific emotional states such as <em>joy<\/em>, <em>anger<\/em>, <em>sadness<\/em>, <em>fear<\/em>, or <em>surprise<\/em>.<\/li>\n<\/ol>\n\n\n\n<p>While a sentiment analysis model provides a broad sense of polarity, emotion detection captures the nuanced emotional tone behind the words.<\/p>\n\n\n\n<p>For example, the sentence \u201cI can\u2019t believe they forgot my order again\u201d would be labeled as negative in sentiment analysis, but emotion detection might identify it as expressing <em>frustration<\/em> or <em>anger<\/em>.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>What is a sentiment score?<\/strong><\/h3>\n\n\n\n<p>One of the means to assess sentiment is the sentiment score.<\/p>\n\n\n\n<p><strong>Sentiment score<\/strong> is a scaling system that reflects the emotional depth of emotions in a piece of text.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>It detects emotions and assigns them sentiment scores, for example, from 0 up to 10, from the most negative to the most positive sentiment.<\/li>\n<\/ul>\n\n\n\n<p><strong>How to calculate it?<\/strong><\/p>\n\n\n\n<p>There are various ways to calculate a sentiment score, but the most common method is to use a dictionary of negative, neutral, or positive words.<\/p>\n\n\n\n<p>To calculate a sentiment score, various factors are taken into account, such as:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>The number and type of emotions expressed<\/li>\n\n\n\n<li>The strength of those emotions<\/li>\n\n\n\n<li>The context in which they are used.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Can ChatGPT do sentiment analysis?<\/strong><\/h3>\n\n\n\n<p>Yes, ChatGPT can perform basic sentiment analysis.<\/p>\n\n\n\n<p>It can read text and suggest whether the tone is positive, negative, or neutral. It may also detect some emotions like joy, anger, or sadness.<\/p>\n\n\n\n<p>However, there are a few drawbacks. ChatGPT doesn&#8217;t consistently follow strict sentiment labels like specialized sentiment analysis tools do.<\/p>\n\n\n\n<p>Plus, its analysis isn\u2019t automated or scalable &#8211; you\u2019d need to feed in text manually or build a custom workflow to analyze large volumes of data.<\/p>\n\n\n\n<p>So, what are you waiting for? <a href=\"https:\/\/app.brand24.com\/user\/register-account\/?custom_form=118\">Start digging into that data!<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Que pensent les clients de vos produits ou services ? C'est une question importante que les chefs d'entreprise ne devraient pas n\u00e9gliger. Les mots positifs et n\u00e9gatifs ont leur importance. La bonne nouvelle, c'est qu'il est possible de mesurer la satisfaction des clients gr\u00e2ce \u00e0 l'analyse des sentiments.<\/p>","protected":false},"author":74,"featured_media":144645,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":"","_links_to":"","_links_to_target":""},"categories":[3822],"tags":[2395,2326,2323,2392],"class_list":["post-109840","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-sentiment-analysis","tag-how-to-do-sentiment-analysis","tag-sentiment-analysis","tag-sentiment-analysis-tools","tag-what-is-sentiment-analysis"],"acf":[],"aioseo_notices":[],"cf_author_first_name":"Katarzyna","cf_author_last_name":"Dere\u0144","_links":{"self":[{"href":"https:\/\/brand24.com\/blog\/fr\/wp-json\/wp\/v2\/posts\/109840","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/brand24.com\/blog\/fr\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/brand24.com\/blog\/fr\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/brand24.com\/blog\/fr\/wp-json\/wp\/v2\/users\/74"}],"replies":[{"embeddable":true,"href":"https:\/\/brand24.com\/blog\/fr\/wp-json\/wp\/v2\/comments?post=109840"}],"version-history":[{"count":149,"href":"https:\/\/brand24.com\/blog\/fr\/wp-json\/wp\/v2\/posts\/109840\/revisions"}],"predecessor-version":[{"id":179580,"href":"https:\/\/brand24.com\/blog\/fr\/wp-json\/wp\/v2\/posts\/109840\/revisions\/179580"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/brand24.com\/blog\/fr\/wp-json\/wp\/v2\/media\/144645"}],"wp:attachment":[{"href":"https:\/\/brand24.com\/blog\/fr\/wp-json\/wp\/v2\/media?parent=109840"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/brand24.com\/blog\/fr\/wp-json\/wp\/v2\/categories?post=109840"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/brand24.com\/blog\/fr\/wp-json\/wp\/v2\/tags?post=109840"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}