{"id":110053,"date":"2026-04-02T12:37:02","date_gmt":"2026-04-02T10:37:02","guid":{"rendered":"https:\/\/brand24.com\/blog\/?p=110053"},"modified":"2026-04-02T12:37:03","modified_gmt":"2026-04-02T10:37:03","slug":"twitter-sentiment-analysis","status":"publish","type":"post","link":"https:\/\/brand24.com\/blog\/twitter-sentiment-analysis\/","title":{"rendered":"X (Twitter) Sentiment Analysis: 6 Simple Steps [2026]"},"content":{"rendered":"\n<p><strong>Are you wondering how people really feel about your brand on X (Twitter)? Without sentiment analysis, it\u2019s hard to quickly understand whether the conversation is positive, negative, or shifting. <\/strong><\/p>\n\n\n\n<p><strong>In this guide, you\u2019ll learn how to run X (Twitter) sentiment analysis in 6 simple steps and understand what X users think about your brand, and how it changes over time.<\/strong><\/p>\n\n\n<style>.acf-key-takeaways__heading{padding:22px 30px 20px;margin:0;font-weight:600;display:inline-flex;align-items:center;gap:1.1875rem;border:1px solid #c3e1d2;border-bottom:none;border-top-left-radius:1.25rem;border-top-right-radius:1.25rem}@media(min-width: 768px){.acf-key-takeaways__heading{padding:22px 40px 20px;gap:1.4375rem}}.acf-key-takeaways__icon{width:1.625rem;height:1.625rem;background-color:#9cbfaf;border-radius:50%;display:flex;align-items:center;justify-content:center}.acf-key-takeaways__list{border:1px solid #c3e1d2;border-top-right-radius:1.25rem;border-bottom-right-radius:1.25rem;border-bottom-left-radius:1.25rem;margin:0;padding:0;list-style:none;overflow:hidden}.acf-key-takeaways__item{padding:28px 34px 28px 61px;background-color:#e8f4ee;margin:0;border-bottom:1px solid #c3e1d2;position:relative}@media(min-width: 768px){.acf-key-takeaways__item{padding:28px 54px 28px 81px}}.acf-key-takeaways__item::before{content:\"\";position:absolute;top:35px;left:28px;width:.75rem;height:.75rem;background-color:#9cbfaf;border-radius:50%}@media(min-width: 768px){.acf-key-takeaways__item::before{top:39px;left:40px}}.acf-key-takeaways__item:nth-child(even){background-color:#dfefe7}.acf-key-takeaways__item:last-child{border-bottom:none}.acf-key-takeaways__title{font-weight:600;margin-bottom:.625rem}.acf-key-takeaways__text{font-family:\"Inter\",sans-serif;font-size:16px;line-height:26px;margin:0}@media(min-width: 768px){.acf-key-takeaways__text{font-size:18px;line-height:30px}}.single-post-content__content h3.acf-key-takeaways__heading{font-family:\"Inter\",sans-serif;font-size:16px;line-height:26px}@media(min-width: 768px){.single-post-content__content h3.acf-key-takeaways__heading{font-size:18px;line-height:30px}}.single-post-content__content h4.acf-key-takeaways__title{font-family:\"Inter\",sans-serif;font-size:16px;line-height:26px}@media(min-width: 768px){.single-post-content__content h4.acf-key-takeaways__title{font-size:18px;line-height:30px}}.single-post-content__content p.acf-key-takeaways__text{line-height:1.875rem}@media(max-width: 768px){.single-post-content__content p.acf-key-takeaways__text{font-size:1rem !important}}<\/style><div class=\"acf-key-takeaways\">\n    <h3 class=\"acf-key-takeaways__heading\">\n        <span class=\"acf-key-takeaways__icon\">\n            <svg width=\"10\" height=\"12\" viewBox=\"0 0 10 12\" fill=\"none\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\">\n                <path d=\"M8.41177 0C8.8341 0 9.17647 0.34237 9.17647 0.764706V11.0882C9.17647 11.3821 9.00815 11.6501\n                8.74334 11.7775C8.47839 11.9049 8.16337 11.8693 7.93382 11.6857L4.58824 9.00919L1.24265 11.6857C1.01311\n                11.8693 0.698079 11.9049 0.433134 11.7775C0.168324 11.6501 0 11.3821 0 11.0882V0.764706C0 0.561893\n                0.0806248 0.367445 0.224035 0.224035C0.367445 0.0806248 0.561893 0 0.764706 0H8.41177ZM1.52941\n                9.49609L4.11029 7.43199C4.38958 7.20856 4.78689 7.20856 5.06618 7.43199L7.64706\n                9.49609V1.52941H1.52941V9.49609Z\" fill=\"black\"\/>\n            <\/svg>\n        <\/span>\n        Key takeaways:    <\/h3>\n    <ul class=\"acf-key-takeaways__list\">\n                    <li class=\"acf-key-takeaways__item\">\n                <h4 class=\"acf-key-takeaways__title\">What is X (Twitter) sentiment analysis?<\/h4>\n                <p class=\"acf-key-takeaways__text\">Twitter sentiment analysis is the process of classifying tweets as positive, negative, or neutral\r\nIt helps you understand how people feel about a brand, product, or topic based on large volumes of Twitter data.<\/p>\n            <\/li>\n                    <li class=\"acf-key-takeaways__item\">\n                <h4 class=\"acf-key-takeaways__title\">There are two ways to do it: manually or with a media monitoring tool<\/h4>\n                <p class=\"acf-key-takeaways__text\">Manual analysis works only for small datasets. Tools automate data collection, sentiment classification, and trend tracking at scale.<\/p>\n            <\/li>\n                    <li class=\"acf-key-takeaways__item\">\n                <h4 class=\"acf-key-takeaways__title\">The process follows a clear step-by-step workflow<\/h4>\n                <p class=\"acf-key-takeaways__text\">Define your goal \u2192 choose keywords \u2192 collect X (Twitter) data \u2192 filter results \u2192 analyze sentiment \u2192 compare results.<\/p>\n            <\/li>\n                    <li class=\"acf-key-takeaways__item\">\n                <h4 class=\"acf-key-takeaways__title\">X (Twitter) sentiment analysis is used across multiple domains<\/h4>\n                <p class=\"acf-key-takeaways__text\">Common use cases include brand monitoring, campaign evaluation, customer feedback analysis, public opinion tracking, and financial signals (e.g. stock market or crypto sentiment).<\/p>\n            <\/li>\n                    <li class=\"acf-key-takeaways__item\">\n                <h4 class=\"acf-key-takeaways__title\">Keywords and filters directly impact X (Twitter) data quality<\/h4>\n                <p class=\"acf-key-takeaways__text\">Broad queries generate noise, while precise keywords and filters (like Twitter\/X source or language) ensure relevant and accurate sentiment analysis.<\/p>\n            <\/li>\n            <\/ul>\n<\/div>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"how-to-do\"><strong>How to do X (Twitter) sentiment analysis?<\/strong><\/h2>\n\n\n\n<p>There are two ways to do  X (Twitter) sentiment analysis: <strong>manually<\/strong> or with a <strong>social<\/strong> <strong>media monitoring tool<\/strong>.<\/p>\n\n\n\n<p><strong>Manual analysis<\/strong><\/p>\n\n\n\n<p>It means reading tweets and assigning sentiment yourself (positive, negative, neutral). It works for small datasets or quick checks, but becomes slow and inconsistent as volume grows.<\/p>\n\n\n\n<p><a href=\"https:\/\/brand24.com\/blog\/social-media-monitoring-tools\/\" target=\"_blank\" rel=\"noopener\" title=\"\">Social media monitoring tools<\/a><\/p>\n\n\n\n<p>They collect tweets\/X posts automatically and classify their sentiment using AI. This lets you track large volumes of mentions and spot changes or trends in sentiment. <\/p>\n\n\n\n<p>In addition to X, many social media monitoring tools analyze sentiment analysis for Facebook, Instagram, and other social media platforms.<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-background\" style=\"background-color:#e8f4ee\"><thead><tr><th class=\"has-text-align-center\" data-align=\"center\">Method<\/th><th class=\"has-text-align-center\" data-align=\"center\"><strong>How it works<\/strong><\/th><th class=\"has-text-align-center\" data-align=\"center\"><strong>Best for<\/strong><\/th><th class=\"has-text-align-center\" data-align=\"center\">Limitation<\/th><\/tr><\/thead><tbody><tr><td class=\"has-text-align-center\" data-align=\"center\"><strong>Manual analysis<\/strong><\/td><td class=\"has-text-align-center\" data-align=\"center\">You read and label tweets yourself<\/td><td class=\"has-text-align-center\" data-align=\"center\">Small datasets, quick checks<\/td><td class=\"has-text-align-center\" data-align=\"center\">Time-consuming, not scalable<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\"><strong>Social media monitoring tools<\/strong><\/td><td class=\"has-text-align-center\" data-align=\"center\">Tool collects mentions and detects sentiment automatically<\/td><td class=\"has-text-align-center\" data-align=\"center\">Ongoing monitoring, trend tracking, spike alerts, brand analysis<\/td><td class=\"has-text-align-center\" data-align=\"center\">Requires setup and tool access<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p>Now let\u2019s walk through the process step by step:<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"step1\"><strong>Step 1: Define what you want to analyze<\/strong><\/h3>\n\n\n\n<p>X (Twitter) sentiment analysis can answer very different questions, for example:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Are people reacting positively or negatively to our new campaign?<\/li>\n\n\n\n<li>Did a product update improve sentiment?<\/li>\n\n\n\n<li>Are complaints growing this week?<\/li>\n\n\n\n<li>Is our brand sentiment stronger than a competitor\u2019s?<\/li>\n<\/ul>\n\n\n\n<p>Your final tool setup will depend on the goal you choose, for example: <\/p>\n\n\n<style>.acf-numeric-list__list{list-style:none;padding:0;margin:0}.acf-numeric-list__item{display:grid;grid-template-columns:1.875rem 1fr;grid-template-rows:1fr;align-items:center;gap:1.5625rem;margin-bottom:.9375rem}.acf-numeric-list__item:last-child{margin-bottom:0}.acf-numeric-list__number{background-color:#00ef88;color:#000;border-radius:50%;width:1.875rem;height:1.875rem;display:flex;align-items:center;justify-content:center;font-weight:600}<\/style><div class=\"acf-numeric-list\">\n    <ul class=\"acf-numeric-list__list\">\n                    <li class=\"acf-numeric-list__item\">\n                <span class=\"acf-numeric-list__number\">1<\/span>\n                <span class=\"acf-numeric-list__text\">If you\u2019re monitoring reputation on X (Twitter), you\u2019ll want to analyze sentiment for broad brand terms, leadership names, etc.<\/span>\n            <\/li>\n                    <li class=\"acf-numeric-list__item\">\n                <span class=\"acf-numeric-list__number\">2<\/span>\n                <span class=\"acf-numeric-list__text\">If you\u2019re checking X campaign reception, you\u2019ll need to focus on a narrower set of keywords, hashtags, and dates.<\/span>\n            <\/li>\n            <\/ul>\n<\/div>\n\n\n\n<p>More examples:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Monitoring brand reputation:<\/strong> Analyze overall brand sentiment<\/li>\n\n\n\n<li><strong>Analyzing campaign performance: <\/strong>Track sentiment reactions to a campaign hashtag or influencers<\/li>\n\n\n\n<li><strong>Monitoring product reception:<\/strong> Focus on negative customer feedback and complaints<\/li>\n\n\n\n<li><strong>Competitor benchmarking: <\/strong>Compare sentiment breakdown <\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"step2\"><strong>Step 2: Create a project for the keyword(s) you want to analyze<\/strong><\/h3>\n\n\n\n<p>Start with the topic you want to track. This can be your brand name, product name, campaign hashtag, competitor, or any keyword people use when talking about you.<\/p>\n\n\n\n<p>This step matters because sentiment analysis is only as good as the query behind it: <\/p>\n\n\n\n<p>If your keyword setup is too broad, you\u2019ll collect a lot of irrelevant mentions out of the topic. On the other hand, if it\u2019s too narrow, you\u2019ll miss important ones.<\/p>\n\n\n\n<p class=\"has-background\" style=\"background-color:#E8F4EE\">\n\n<b>\ud83d\udc49 If you use Brand24: <\/b><br><br>\n\nCreate a project for your chosen keyword\/keywords or hashtags. <br><br>You can also use <b>Advanced settings<\/b> and choose the language of mentions or type in required\/excluded keywords if you want to narrow the results from the start.<\/p>\n\n\n\n<figure data-wp-context=\"{&quot;imageId&quot;:&quot;69d71f2134c09&quot;}\" data-wp-interactive=\"core\/image\" data-wp-key=\"69d71f2134c09\" class=\"wp-block-image size-full wp-lightbox-container\"><img loading=\"lazy\" decoding=\"async\" width=\"1000\" height=\"530\" 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\/2023\/03\/twitter-sentiment-analysis-airbnb-project-setup-1.png\" alt=\"\" class=\"wp-image-182858\" srcset=\"https:\/\/brand24.com\/blog\/app\/uploads\/2023\/03\/twitter-sentiment-analysis-airbnb-project-setup-1.png 1000w, https:\/\/brand24.com\/blog\/app\/uploads\/2023\/03\/twitter-sentiment-analysis-airbnb-project-setup-1-18x10.png 18w, https:\/\/brand24.com\/blog\/app\/uploads\/2023\/03\/twitter-sentiment-analysis-airbnb-project-setup-1-300x159.png 300w, https:\/\/brand24.com\/blog\/app\/uploads\/2023\/03\/twitter-sentiment-analysis-airbnb-project-setup-1-248x131.png 248w, https:\/\/brand24.com\/blog\/app\/uploads\/2023\/03\/twitter-sentiment-analysis-airbnb-project-setup-1-90x48.png 90w\" 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\">Setting up a monitoring project for Airbnb in Brand24 using the quick setup<\/figcaption><\/figure>\n\n\n\n<figure data-wp-context=\"{&quot;imageId&quot;:&quot;69d71f2134eec&quot;}\" data-wp-interactive=\"core\/image\" data-wp-key=\"69d71f2134eec\" class=\"wp-block-image size-full wp-lightbox-container\"><img loading=\"lazy\" decoding=\"async\" width=\"1000\" height=\"600\" 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\/2023\/03\/twitter-sentiment-analysis-brand24-project-setup-1-1.png\" alt=\"\" class=\"wp-image-182859\" srcset=\"https:\/\/brand24.com\/blog\/app\/uploads\/2023\/03\/twitter-sentiment-analysis-brand24-project-setup-1-1.png 1000w, https:\/\/brand24.com\/blog\/app\/uploads\/2023\/03\/twitter-sentiment-analysis-brand24-project-setup-1-1-18x12.png 18w, https:\/\/brand24.com\/blog\/app\/uploads\/2023\/03\/twitter-sentiment-analysis-brand24-project-setup-1-1-300x180.png 300w, https:\/\/brand24.com\/blog\/app\/uploads\/2023\/03\/twitter-sentiment-analysis-brand24-project-setup-1-1-248x149.png 248w, https:\/\/brand24.com\/blog\/app\/uploads\/2023\/03\/twitter-sentiment-analysis-brand24-project-setup-1-1-90x54.png 90w\" 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\">Advanced Settings give you a few more options when you\u2019re setting up a project in Brand24<\/figcaption><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"step3\"><strong>Step 3: Narrow the mentions dataset to X (Twitter)<\/strong><\/h3>\n\n\n\n<p>X sometimes works differently from other socials, news sites, forums, or review platforms, so if you want to understand sentiment there, you need to look at X mentions only.<\/p>\n\n\n\n<p>This step ensures you&#8217;re analyzing only X (Twitter), not general online sentiment.<\/p>\n\n\n\n<p class=\"has-background\" style=\"background-color:#E8F4EE\">\n\n<b>\ud83d\udc49 If you use Brand24: <\/b><br><br>\n\n1. Open your project<br>\n2. Go to <b>Mentions tab<\/b><br>\n3. Use the panel on the right: <b>Filters \u2192 Source \u2192 X (Twitter)<\/b><br>\n4. <b>Save this filter<\/b> if you\u2019ll use it often\n\n<\/p>\n\n\n\n<figure data-wp-context=\"{&quot;imageId&quot;:&quot;69d71f21351bc&quot;}\" data-wp-interactive=\"core\/image\" data-wp-key=\"69d71f21351bc\" class=\"wp-block-image size-full wp-lightbox-container\"><img loading=\"lazy\" decoding=\"async\" width=\"1000\" height=\"539\" 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\/2023\/03\/twitter-sentiment-analysis-filters-brand24-1.png\" alt=\"\" class=\"wp-image-182861\" srcset=\"https:\/\/brand24.com\/blog\/app\/uploads\/2023\/03\/twitter-sentiment-analysis-filters-brand24-1.png 1000w, https:\/\/brand24.com\/blog\/app\/uploads\/2023\/03\/twitter-sentiment-analysis-filters-brand24-1-18x10.png 18w, https:\/\/brand24.com\/blog\/app\/uploads\/2023\/03\/twitter-sentiment-analysis-filters-brand24-1-300x162.png 300w, https:\/\/brand24.com\/blog\/app\/uploads\/2023\/03\/twitter-sentiment-analysis-filters-brand24-1-248x134.png 248w, https:\/\/brand24.com\/blog\/app\/uploads\/2023\/03\/twitter-sentiment-analysis-filters-brand24-1-90x49.png 90w\" 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\">To see X (Twitter) mentions only, tick the X option in the right-hand panel in Brand24<\/figcaption><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"step4\"><strong>Step 4: Check the volume and sentiment split<\/strong><\/h3>\n\n\n\n<p>Before you dive into sentiment more granularly, it&#8217;s good to look at the overall, bigger picture:<\/p>\n\n\n<div class=\"acf-numeric-list\">\n    <ul class=\"acf-numeric-list__list\">\n                    <li class=\"acf-numeric-list__item\">\n                <span class=\"acf-numeric-list__number\">1<\/span>\n                <span class=\"acf-numeric-list__text\">How many X (Twitter) mentions are there?<\/span>\n            <\/li>\n                    <li class=\"acf-numeric-list__item\">\n                <span class=\"acf-numeric-list__number\">2<\/span>\n                <span class=\"acf-numeric-list__text\">How many of them are positive, negative, and neutral?<\/span>\n            <\/li>\n                    <li class=\"acf-numeric-list__item\">\n                <span class=\"acf-numeric-list__number\">3<\/span>\n                <span class=\"acf-numeric-list__text\">Are you looking at a steady discussion sentiment or any sudden spikes?<\/span>\n            <\/li>\n            <\/ul>\n<\/div>\n\n\n\n<p>This step helps you understand the <em>scale and direction<\/em> of the X conversations.<\/p>\n\n\n\n<figure data-wp-context=\"{&quot;imageId&quot;:&quot;69d71f21355c0&quot;}\" data-wp-interactive=\"core\/image\" data-wp-key=\"69d71f21355c0\" class=\"wp-block-image size-full wp-lightbox-container\"><img loading=\"lazy\" decoding=\"async\" width=\"700\" height=\"342\" 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\/2023\/03\/twitter-sentiment-analysis-spikes-analysis-brand24-1.png\" alt=\"\" class=\"wp-image-182860\" srcset=\"https:\/\/brand24.com\/blog\/app\/uploads\/2023\/03\/twitter-sentiment-analysis-spikes-analysis-brand24-1.png 700w, https:\/\/brand24.com\/blog\/app\/uploads\/2023\/03\/twitter-sentiment-analysis-spikes-analysis-brand24-1-18x9.png 18w, https:\/\/brand24.com\/blog\/app\/uploads\/2023\/03\/twitter-sentiment-analysis-spikes-analysis-brand24-1-300x147.png 300w, https:\/\/brand24.com\/blog\/app\/uploads\/2023\/03\/twitter-sentiment-analysis-spikes-analysis-brand24-1-248x121.png 248w, https:\/\/brand24.com\/blog\/app\/uploads\/2023\/03\/twitter-sentiment-analysis-spikes-analysis-brand24-1-90x44.png 90w\" sizes=\"auto, (max-width: 700px) 100vw, 700px\" \/><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\">Visible spikes in negative sentiment mentions on X in the Airbnb project<\/figcaption><\/figure>\n\n\n\n<p>For example, a sudden increase in negative mentions may signal that something specific happened (like a viral negative post or a controversial event) and needs your attention.<\/p>\n\n\n\n<p class=\"has-background\" style=\"background-color:#E8F4EE\">\n\n<b>\ud83d\udc49 If you use Brand24: <\/b><br><br>\nGo to the <b>Mentions tab<\/b> and look at the chart at the top. Focus on:<br><br>\n\n1. The number of mentions over time<br>\n2. The proportion of positive vs negative mentions<\/b><br>\n3. Any visible spikes or drops<\/b><br><br>\nIf something looks unusual, you can narrow the date range to zoom in and browse through the mentions to get a clearer picture of what\u2019s going on. <\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"step5\"><strong>Step 5: Analyze what caused the sentiment shift<\/strong><\/h3>\n\n\n\n<p>After identifying a spike, the key question becomes: <em>what caused it?<\/em><\/p>\n\n\n\n<p>Numbers alone won\u2019t give you that answer. You need to look at the actual tweets behind the change and understand the context. <\/p>\n\n\n\n<p>This is where sentiment analysis becomes useful: when you move from \u201cwhat happened\u201d to \u201cwhy it happened.\u201d<\/p>\n\n\n\n<p>You can start by reviewing the most influential tweets in that time period:<\/p>\n\n\n<div class=\"acf-numeric-list\">\n    <ul class=\"acf-numeric-list__list\">\n                    <li class=\"acf-numeric-list__item\">\n                <span class=\"acf-numeric-list__number\">1<\/span>\n                <span class=\"acf-numeric-list__text\">Are people complaining about the same issue? <\/span>\n            <\/li>\n                    <li class=\"acf-numeric-list__item\">\n                <span class=\"acf-numeric-list__number\">2<\/span>\n                <span class=\"acf-numeric-list__text\">Are they reacting to a specific event or announcement?<\/span>\n            <\/li>\n                    <li class=\"acf-numeric-list__item\">\n                <span class=\"acf-numeric-list__number\">3<\/span>\n                <span class=\"acf-numeric-list__text\"> Is there a recurring hashtag or keyword in negative mentions?<\/span>\n            <\/li>\n                    <li class=\"acf-numeric-list__item\">\n                <span class=\"acf-numeric-list__number\">4<\/span>\n                <span class=\"acf-numeric-list__text\">Do people use similar wording to describe the topic?<\/span>\n            <\/li>\n                    <li class=\"acf-numeric-list__item\">\n                <span class=\"acf-numeric-list__number\">5<\/span>\n                <span class=\"acf-numeric-list__text\">Are there consistent topics linked to positive or negative sentiment?<\/span>\n            <\/li>\n            <\/ul>\n<\/div>\n\n\n\n<p>Compare what shows up in positive vs negative mentions. This helps you understand the sentiment breakdown and the context behind it.<\/p>\n\n\n\n<p class=\"has-background\" style=\"background-color:#E8F4EE\">\n\n<b>\ud83d\udc49 If you use Brand24: <\/b><br><br>\nGo to the <b>Analysis tab<\/b>, set the time range to the spike, and filter by:<br><br>\n\n1. Source: X (Twitter)<br>\n2. Sentiment \u2192 Negative (or Positive)<\/b><br><br>\nYou can also ask the <b>AI Brand Assistant<\/b> to explain which exact event, trend, or issue caused the spike.<\/p>\n\n\n\n<figure data-wp-context=\"{&quot;imageId&quot;:&quot;69d71f21359bf&quot;}\" data-wp-interactive=\"core\/image\" data-wp-key=\"69d71f21359bf\" class=\"wp-block-image size-full wp-lightbox-container\"><img loading=\"lazy\" decoding=\"async\" width=\"1000\" height=\"540\" 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\/2023\/03\/twitter-sentiment-analysis-ai-brand-assistant-brand24-1.png\" alt=\"\" class=\"wp-image-182862\" srcset=\"https:\/\/brand24.com\/blog\/app\/uploads\/2023\/03\/twitter-sentiment-analysis-ai-brand-assistant-brand24-1.png 1000w, https:\/\/brand24.com\/blog\/app\/uploads\/2023\/03\/twitter-sentiment-analysis-ai-brand-assistant-brand24-1-18x10.png 18w, https:\/\/brand24.com\/blog\/app\/uploads\/2023\/03\/twitter-sentiment-analysis-ai-brand-assistant-brand24-1-300x162.png 300w, https:\/\/brand24.com\/blog\/app\/uploads\/2023\/03\/twitter-sentiment-analysis-ai-brand-assistant-brand24-1-248x134.png 248w, https:\/\/brand24.com\/blog\/app\/uploads\/2023\/03\/twitter-sentiment-analysis-ai-brand-assistant-brand24-1-90x49.png 90w\" 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\">Brand Assistant&#8217;s answer to a question about a one-day spike in negative Airbnb mentions on X<\/figcaption><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"step6\">Step 6: Compare sentiment in context<\/h3>\n\n\n\n<p>At this point, you know what the sentiment breakdown is. However, you still need context to interpret it correctly.<\/p>\n\n\n\n<p>A single number (for example, <em>20% negative sentiment in the last 30 days<\/em>) doesn\u2019t tell you much on its own. You need a point of reference to decide whether it\u2019s good, bad, or normal.<\/p>\n\n\n\n<p>You can compare:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>current results vs previous period<\/li>\n\n\n\n<li>before vs after a campaign or event<\/li>\n\n\n\n<li>your brand vs competitors<\/li>\n<\/ul>\n\n\n\n<p>This step helps you answer more meaningful questions, such as:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Is sentiment improving or getting worse?<\/li>\n\n\n\n<li>Did the campaign change how people react?<\/li>\n\n\n\n<li>Was the spike temporary or part of a larger trend?<\/li>\n\n\n\n<li>Are we perceived better or worse than competitors?<\/li>\n<\/ul>\n\n\n\n<p class=\"has-background\" style=\"background-color:#E8F4EE\">\n\n<b>\ud83d\udc49 If you use Brand24: <\/b><br><br>\nGo to the <b>Comparison tab<\/b>, where you can:<br><br>\n\n1. Compare your brand&#8217;s sentiment <b>with a competitor<\/b><br>\nor<br>\n2. Compare your brand&#8217;s sentiment <b>across different time periods<\/b><br><br>\nThen analyze differences in:<br>\n&#8211; positive vs negative sentiment,<br>\n&#8211; number of mentions,<br>\n&#8211; reach.\n<\/p>\n\n\n\n<figure data-wp-context=\"{&quot;imageId&quot;:&quot;69d71f2135d26&quot;}\" data-wp-interactive=\"core\/image\" data-wp-key=\"69d71f2135d26\" class=\"wp-block-image size-full wp-lightbox-container\"><img loading=\"lazy\" decoding=\"async\" width=\"1000\" height=\"538\" 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\/2023\/03\/twitter-sentiment-analysis-comparison-airbnb-1.png\" alt=\"\" class=\"wp-image-182876\" srcset=\"https:\/\/brand24.com\/blog\/app\/uploads\/2023\/03\/twitter-sentiment-analysis-comparison-airbnb-1.png 1000w, https:\/\/brand24.com\/blog\/app\/uploads\/2023\/03\/twitter-sentiment-analysis-comparison-airbnb-1-18x10.png 18w, https:\/\/brand24.com\/blog\/app\/uploads\/2023\/03\/twitter-sentiment-analysis-comparison-airbnb-1-300x161.png 300w, https:\/\/brand24.com\/blog\/app\/uploads\/2023\/03\/twitter-sentiment-analysis-comparison-airbnb-1-248x133.png 248w, https:\/\/brand24.com\/blog\/app\/uploads\/2023\/03\/twitter-sentiment-analysis-comparison-airbnb-1-90x48.png 90w\" 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\">Overview of two periods of Airbnb mentions in Brand24<\/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\">\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 X (Twitter) sentiment analysis with Brand24!<\/div>\n                            <\/div>\n                            <a href=\"https:\/\/app.brand24.com\/user\/register-account\/?custom_form=36\" 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=\"using\"><strong><strong>What to do with  X (Twitter) sentiment analysis results<\/strong><\/strong><\/h2>\n\n\n\n<p>Once you\u2019ve analyzed sentiment on X (Twitter), the next step is simple: <strong>use it to make decisions.<\/strong><\/p>\n\n\n\n<p>Sentiment data becomes valuable only when it changes how you respond, what you improve, or how you communicate.<\/p>\n\n\n\n<p>Here\u2019s how to put it into practice:<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"feedback\">01 <strong>Address negative feedback<\/strong><\/h3>\n\n\n\n<p>A flood of negative tweets can damage your reputation and hurt your business. If there is a lot of negative feedback about a product or service, it\u2019s essential that you <strong>address those issues quickly.<\/strong><\/p>\n\n\n\n<p>Sometimes it is good to react to individual mentions, but you can also look for patterns:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Are people complaining about the same feature?<\/li>\n\n\n\n<li>Is one issue being repeated by different users?<\/li>\n\n\n\n<li>Did negative sentiment increase suddenly?<\/li>\n<\/ul>\n\n\n\n<p>Some social media monitoring tools (e.g., Brand24) have<strong> Storm Alert features.<\/strong> So you will be notified whenever there is a rapid change in the mentioned volume.<\/p>\n\n\n\n<p class=\"has-background\" style=\"background-color:#E8F4EE\">\n\n<b>\ud83d\udc49 If you use Brand24: <\/b><br><br>\nSet up <b>Storm Alerts<\/b> to get notified when mention volume spikes. This helps you catch potential issues before they grow.\n<\/p>\n\n\n\n<figure data-wp-context=\"{&quot;imageId&quot;:&quot;69d71f213628d&quot;}\" data-wp-interactive=\"core\/image\" data-wp-key=\"69d71f213628d\" class=\"wp-block-image size-full wp-lightbox-container\"><img loading=\"lazy\" decoding=\"async\" width=\"1000\" height=\"191\" 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\/08\/more-tiktok-mentions-storm-alerts-feature-1.png\" alt=\"Storm Alert feature in Brand24\" class=\"wp-image-182057\" srcset=\"https:\/\/brand24.com\/blog\/app\/uploads\/2024\/08\/more-tiktok-mentions-storm-alerts-feature-1.png 1000w, https:\/\/brand24.com\/blog\/app\/uploads\/2024\/08\/more-tiktok-mentions-storm-alerts-feature-1-18x3.png 18w, https:\/\/brand24.com\/blog\/app\/uploads\/2024\/08\/more-tiktok-mentions-storm-alerts-feature-1-300x57.png 300w, https:\/\/brand24.com\/blog\/app\/uploads\/2024\/08\/more-tiktok-mentions-storm-alerts-feature-1-248x47.png 248w, https:\/\/brand24.com\/blog\/app\/uploads\/2024\/08\/more-tiktok-mentions-storm-alerts-feature-1-90x17.png 90w\" 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\">You can get Storm Alerts straight to your inbox!<\/figcaption><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"observe\">02 <strong>Observe what brings positive tweets<\/strong><\/h3>\n\n\n\n<p>By keeping an eye on X activity around your brand, you can get a clear sense of what people actually like about it. <\/p>\n\n\n\n<p>Using&nbsp;<a href=\"https:\/\/brand24.com\/blog\/social-media-monitoring\/\" target=\"_blank\" rel=\"noopener\" title=\"\">social media monitoring<\/a>&nbsp;is a solid way to spot what types of content spark positive tweets and which topics get people engaged.<\/p>\n\n\n\n<p>Look beyond \u201cpeople liked it\u201d and ask:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Are the same themes repeated?<\/li>\n\n\n\n<li>What exactly are they reacting to (A whole post? One comment? Viral video? A fresh POV on some issue?)<\/li>\n\n\n\n<li>Which campaign, message, or feature triggered it?<\/li>\n<\/ul>\n\n\n\n<p>For businesses, those insights can help shape smarter marketing and customer service strategies.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"product\">03 <strong>Prioritize product changes<\/strong><\/h3>\n\n\n\n<p>Use <a href=\"https:\/\/brand24.com\/blog\/social-media-sentiment-analysis\/\" target=\"_blank\" rel=\"noopener\" title=\"\">social media sentiment analysis<\/a> data to figure out which areas need attention first, so you can prioritize your updates. <\/p>\n\n\n\n<p>For example, if customers are frustrated about slow shipping, it makes sense to fix that before tackling anything else.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"monitor\">04 <strong>Monitor trends<\/strong><\/h3>\n\n\n\n<p>Use  X (Twitter) sentiment analysis over time to monitor rising trends on X and hashtags in customer feedback and respond quickly if needed.<\/p>\n\n\n\n<p>Tracking it over time helps you:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>detect emerging issues<\/li>\n\n\n\n<li>measure the impact of campaigns<\/li>\n\n\n\n<li>see whether improvements are working<\/li>\n<\/ul>\n\n\n\n<p>This will help ensure that customer satisfaction remains high over the long term.<\/p>\n\n\n\n<div class=\"acf-simple-cta acf-simple-cta--default acf-simple-cta--no-icon\">\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\">See what X (Twitter) users think of your brand!<\/div>\n                            <\/div>\n                            <a href=\"https:\/\/app.brand24.com\/user\/register-account\/?custom_form=36\" 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=\"usecases\"><strong>Twitter sentiment analysis use cases<\/strong><\/h2>\n\n\n\n<p>Twitter sentiment analysis is used to support business decisions across different areas. It\u2019s often combined with <strong>opinion mining<\/strong>, which goes one step further. <\/p>\n\n\n\n<p>While sentiment analysis tells you <em>whether<\/em> an X (Twitter) mention is positive, negative, or neutral, opinion mining focuses on <em>what exactly people are reacting to<\/em>: for example, price, quality, delivery, or specific product features.<\/p>\n\n\n\n<p>Here&#8217;s a short video that sums up how to use sentiment analysis to find out what your customers like (or dislike) about your company or product:<\/p>\n\n\n\n<figure class=\"wp-block-embed aligncenter is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n<iframe loading=\"lazy\" title=\"How sentiment analysis lets you find out what your customers like?\" width=\"500\" height=\"281\" src=\"https:\/\/www.youtube.com\/embed\/_nKM_ZWMatw?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe>\n<\/div><\/figure>\n\n\n\n<p>Because Twitter provides large volumes of fast, unfiltered reactions, both approaches are widely used in practice:<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"business\">01 <strong>Business<\/strong><\/h3>\n\n\n\n<p>In business, companies use <strong>opinion mining tools<\/strong> and <strong>X (Twitter) <\/strong><a href=\"https:\/\/brand24.com\/blog\/best-sentiment-analysis-tools\/\" title=\"\">sentiment analysis tools<\/a> to understand what customers think about their product, service, brand, or campaigns.<\/p>\n\n\n\n<p>The difference is:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>sentiment analysis:<\/strong> shows overall attitude (positive\/negative)<\/li>\n\n\n\n<li><strong>opinion mining:<\/strong> shows <em>why<\/em> people feel that way<\/li>\n<\/ul>\n\n\n\n<p>For example:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>negative sentiment may <em>increase<\/em> or <em>decrease<\/em> over time or spike at a single point of time<\/li>\n\n\n\n<li>opinion mining reveals that most complaints mention <em>delivery delays<\/em> and <em>pricing<\/em><\/li>\n<\/ul>\n\n\n\n<p>This allows teams to move from <strong>\u201cpeople on X are unhappy with our product\u201d<\/strong> to \u201c<strong>people on X are unhappy with our product because of A, B, and C\u201d<\/strong>, and fix the right problem first.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"finance\"><strong>02 Finance and market analysis<\/strong><\/h3>\n\n\n\n<p>In finance, Twitter sentiment analysis is used to track how people react to companies, industries, and news using <strong>X data<\/strong> and other social media sources.<\/p>\n\n\n\n<p>One common application is <strong>stock market prediction using Twitter sentiment analysis<\/strong>. Analysts look at huge volumes of tweets to detect changes in public opinion. <\/p>\n\n\n\n<p>For example, increasing negative sentiment around a company can reflect declining confidence before it even shows up in traditional metrics.<\/p>\n\n\n\n<p>Another finance-related use case is <strong>Twitter crypto sentiment analysis<\/strong>, which uses X sentiment to track reactions to cryptocurrencies like Bitcoin and Ethereum.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"politics\">03 Politics<\/h3>\n\n\n\n<p>In politics, sentiment analysis and <strong>opinion mining<\/strong> are used to track <strong>public opinion<\/strong> at scale.<\/p>\n\n\n\n<p>Instead of surveys, analysts use <strong>Twitter data<\/strong> to monitor reactions to:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>policy changes<\/li>\n\n\n\n<li>political statements<\/li>\n\n\n\n<li>public figures<\/li>\n<\/ul>\n\n\n\n<p>Opinion mining is especially useful here because it helps identify:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>which topics people react to most strongly<\/li>\n\n\n\n<li>what specific issues drive positive or negative sentiment<\/li>\n<\/ul>\n\n\n\n<p>For example, sentiment analysis was used in <a href=\"https:\/\/www.degruyter.com\/document\/doi\/10.1515\/spp-2017-0006\/html\" target=\"_blank\" rel=\"noopener\" title=\"\">research around the Brexit vote<\/a>, where large volumes of tweets were analyzed to track how public opinion evolved over time and in some cases, to <a href=\"https:\/\/www.tandfonline.com\/doi\/full\/10.1080\/19475683.2020.1829704\" target=\"_blank\" rel=\"noopener\" title=\"\">predict election outcomes<\/a>.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"public\">04 Public actions and cultural events<\/h3>\n\n\n\n<p><strong>X (Twitter) sentiment analysis<\/strong> is also used to study reactions to major cultural and social events.<\/p>\n\n\n\n<p>Examples like <strong>Pok\u00e9mon Go<\/strong>, the premiere of <strong>Game of Thrones<\/strong>, or the <strong>Oscars<\/strong> show how quickly sentiment can shift and how discussions evolve in real time.<\/p>\n\n\n\n<p>Here, sentiment analysis shows how strong the reaction is, and what exactly people are reacting to (storyline, features, performance, etc.).<\/p>\n\n\n\n<div class=\"acf-simple-cta acf-simple-cta--primary acf-simple-cta--no-icon\">\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\">Analyze sentiment on X (Twitter) with the best tool!<\/div>\n                            <\/div>\n                            <a href=\"https:\/\/app.brand24.com\/user\/register-account\/?custom_form=36\" 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=\"conclusion\"><strong>Conclusion<\/strong><\/h2>\n\n\n\n<p>You can quickly analyze posts on X with a <a href=\"https:\/\/brand24.com\/twitter-monitoring\/\">Twitter monitoring tool<\/a>. It can automatically spot positive and negative posts and display the sentiment results in a clear, easy-to-read format.<\/p>\n\n\n\n<p>Thanks to <strong>sentiment analysis on  X (Twitter)<\/strong>, you can:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>See what people are saying about your brand or product,<\/li>\n\n\n\n<li>Spot whether the buzz is positive or negative,<\/li>\n\n\n\n<li>Assess overall customer satisfaction,<\/li>\n\n\n\n<li>Catch emerging trends early,<\/li>\n\n\n\n<li>Find trending links and hashtags,<\/li>\n\n\n\n<li><a href=\"https:\/\/brand24.com\/blog\/how-to-find-twitter-influencers\/\">Find the most active Twitter influencers<\/a>,<\/li>\n\n\n\n<li>Keep an eye on your brand reputation and prevent PR crises.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"faq\">FAQ<\/h2>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"what-is\"><strong>What is  X (Twitter) sentiment analysis?<\/strong><\/h3>\n\n\n\n<p>X (Twitter) sentiment analysis is the process of identifying whether tweets express <strong>positive, negative, or neutral opinions<\/strong> about a brand, topic, or event. <\/p>\n\n\n\n<p>It helps you understand how people feel by analyzing large volumes of X (Twitter) data in real time.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"important\"><strong>Why is X (Twitter) sentiment analysis important?<\/strong><\/h3>\n\n\n\n<p>X (Twitter) sentiment analysis is important because it helps you understand <strong>how people react in real time<\/strong> to your brand, product, or campaign. It can help you to:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>monitor and manage <a href=\"https:\/\/brand24.com\/blog\/what-is-brand-reputation-management\/\" title=\"\">brand reputation<\/a><\/li>\n\n\n\n<li>detect negative trends early<\/li>\n\n\n\n<li>prevent <a href=\"https:\/\/brand24.com\/blog\/pr-crisis-management\/\" target=\"_blank\" rel=\"noopener\" title=\"\">PR crisis<\/a> at an early stage<\/li>\n\n\n\n<li>understand what drives positive reactions<\/li>\n\n\n\n<li>make faster marketing and PR decisions<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"how-work\"><strong>How does X (Twitter) sentiment analysis work?<\/strong><\/h3>\n\n\n\n<p>Every tool uses its own sentiment analysis algorithm. Here\u2019s how Brand24\u2019s works, explained from a technical perspective:<\/p>\n\n\n<style>.acf-testimonial{padding:40px 30px;background-color:#e8f4ee;border-radius:20px;max-width:640px;margin-left:auto;margin-right:auto}@media(min-width: 768px){.acf-testimonial{padding:62px 91px}}.acf-testimonial__logos{margin-bottom:20px}@media(min-width: 768px){.acf-testimonial__logos{margin-bottom:36px}}.acf-testimonial__question{font-family:\"Inter\",sans-serif;font-size:20px;line-height:28px;font-weight:700;margin-bottom:15px;max-width:450px}@media(min-width: 768px){.acf-testimonial__question{font-size:24px;line-height:32px}}@media(min-width: 768px){.acf-testimonial__question{margin-bottom:25px}}.acf-testimonial__answer{font-family:\"Inter\",sans-serif;font-size:16px;line-height:26px;margin-bottom:36px}@media(min-width: 768px){.acf-testimonial__answer{font-size:18px;line-height:30px}}@media(min-width: 576px){.acf-testimonial__answer{margin-bottom:60px}}.acf-testimonial__answer:last-child{margin-bottom:0}@media(min-width: 576px){.acf-testimonial__row{display:flex;gap:25px;align-items:center}}.acf-testimonial__author-image{width:60px;height:60px;border-radius:50%;overflow:hidden;flex-shrink:0;margin-bottom:10px;background-color:#c2dcce}@media(min-width: 768px){.acf-testimonial__author-image{width:80px;height:80px;margin-bottom:0}}.acf-testimonial__author-image img{width:100%;height:100%;object-fit:cover}.acf-testimonial__author-name{font-size:16px;line-height:140%;font-weight:700;margin-bottom:4px}@media(min-width: 768px){.acf-testimonial__author-name{font-size:18px;line-height:140%}}.acf-testimonial__author-linkedin{display:inline-block;position:relative;top:-4px;margin-left:8px}.acf-testimonial__author-position{font-size:16px;line-height:100%}@media(min-width: 768px){.acf-testimonial__author-position{font-size:18px}}.acf-testimonial__button{margin-top:30px;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}@media(min-width: 768px){.acf-testimonial__button{margin-top:60px}}.acf-testimonial__button:hover{background-color:#4bffae;text-decoration:none;opacity:.9}.acf-testimonial__button:focus-visible{outline:2px solid #00ef88}.acf-testimonial--primary{background-color:#00ef88}.acf-testimonial--primary .acf-testimonial__question,.acf-testimonial--primary .acf-testimonial__answer,.acf-testimonial--primary .acf-testimonial__author-name,.acf-testimonial--primary .acf-testimonial__author-position{color:#000}.acf-testimonial--primary .acf-testimonial__button{background-color:#000;color:#fff !important;transition:background-color .3s ease-in-out}.acf-testimonial--primary .acf-testimonial__button:hover{background-color:#171717}.acf-testimonial--violet{background-color:#000}.acf-testimonial--violet .acf-testimonial__question,.acf-testimonial--violet .acf-testimonial__answer,.acf-testimonial--violet .acf-testimonial__author-name,.acf-testimonial--violet .acf-testimonial__author-position{color:#fff}.acf-testimonial--violet .acf-testimonial__author-image{background-color:#22272a}.acf-testimonial--violet .acf-testimonial__logo--b24 svg path,.acf-testimonial--violet .acf-testimonial__separator svg path{fill:#fff}.acf-testimonial--violet .acf-testimonial__button{background-color:#bf00ff;color:#000 !important;transition:background-color .3s ease-in-out}.acf-testimonial--violet .acf-testimonial__button:hover{background-color:#bf00ff}<\/style><div class=\"acf-testimonial acf-testimonial--default\">\n                    <div class=\"acf-testimonial__answer\">After you create a project, the system starts collecting mentions that include your keyword. Each mention is then processed by our sentiment analysis model and classified as positive, negative, or neutral in real time.\r\n\r\nOur model is based on machine learning, including deep learning and pretrained language models (PLMs), similar to those used by companies like Google or Microsoft. It\u2019s trained on thousands of annotated examples, with dedicated data annotation and AI teams continuously improving its accuracy.\r\n\r\nAs a result, the system can detect sentiment across multiple languages and handle large volumes of data with high reliability.<\/div>\n        <div class=\"acf-testimonial__row\">\n                    <div class=\"acf-testimonial__author-image\">\n                <img decoding=\"async\" width=\"250\" height=\"250\" src=\"https:\/\/brand24.com\/blog\/app\/uploads\/2023\/03\/krzysztof-rajda-head-of-it-brand24-1-250x250.jpeg\" class=\"attachment-thumbnail size-thumbnail\" alt=\"krzysztof-rajda-head-of-it-brand24\" loading=\"lazy\" srcset=\"https:\/\/brand24.com\/blog\/app\/uploads\/2023\/03\/krzysztof-rajda-head-of-it-brand24-1-250x250.jpeg 250w, https:\/\/brand24.com\/blog\/app\/uploads\/2023\/03\/krzysztof-rajda-head-of-it-brand24-1-12x12.jpeg 12w, https:\/\/brand24.com\/blog\/app\/uploads\/2023\/03\/krzysztof-rajda-head-of-it-brand24-1-300x300.jpeg 300w, https:\/\/brand24.com\/blog\/app\/uploads\/2023\/03\/krzysztof-rajda-head-of-it-brand24-1-60x60.jpeg 60w, https:\/\/brand24.com\/blog\/app\/uploads\/2023\/03\/krzysztof-rajda-head-of-it-brand24-1-64x64.jpeg 64w, https:\/\/brand24.com\/blog\/app\/uploads\/2023\/03\/krzysztof-rajda-head-of-it-brand24-1-314x314.jpeg 314w, https:\/\/brand24.com\/blog\/app\/uploads\/2023\/03\/krzysztof-rajda-head-of-it-brand24-1-159x159.jpeg 159w, https:\/\/brand24.com\/blog\/app\/uploads\/2023\/03\/krzysztof-rajda-head-of-it-brand24-1-48x48.jpeg 48w, https:\/\/brand24.com\/blog\/app\/uploads\/2023\/03\/krzysztof-rajda-head-of-it-brand24-1-42x42.jpeg 42w, https:\/\/brand24.com\/blog\/app\/uploads\/2023\/03\/krzysztof-rajda-head-of-it-brand24-1-90x90.jpeg 90w, https:\/\/brand24.com\/blog\/app\/uploads\/2023\/03\/krzysztof-rajda-head-of-it-brand24-1-80x80.jpeg 80w, https:\/\/brand24.com\/blog\/app\/uploads\/2023\/03\/krzysztof-rajda-head-of-it-brand24-1.jpeg 512w\" sizes=\"auto, (max-width: 250px) 100vw, 250px\" \/>            <\/div>\n                <div class=\"acf-testimonial__author-content\">\n                            <div class=\"acf-testimonial__author-name\">Krzysztof Rajda                            <\/div>\n                                        <div class=\"acf-testimonial__author-position\">Head of IT in Brand24<\/div>\n                    <\/div>\n    <\/div>\n    <\/div>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"how-get\">How to get X (Twitter) data for sentiment analysis?<\/h3>\n\n\n\n<p>You can get X (Twitter) data for sentiment analysis in two ways:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>manually<\/strong>, by collecting tweets yourself<\/li>\n\n\n\n<li><strong>automatically<\/strong>, using a social media monitoring tool or API<\/li>\n<\/ul>\n\n\n\n<p>In practice, most teams use tools that collect tweets in real time based on selected keywords and prepare them for analysis.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"scope\">What is the scope of X (Twitter) sentiment analysis?<\/h3>\n\n\n\n<p>The scope of Twitter sentiment analysis includes:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>brand monitoring<\/li>\n\n\n\n<li>customer feedback analysis<\/li>\n\n\n\n<li>campaign evaluation<\/li>\n\n\n\n<li>competitor analysis<\/li>\n\n\n\n<li>trend and topic tracking<\/li>\n<\/ul>\n\n\n\n<p>Because X provides fast, public data, it\u2019s often used to analyze <strong>real-time public opinion<\/strong> across different industries.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"why\">Why use X (Twitter) for sentiment analysis?<\/h3>\n\n\n\n<p>X (Twitter) is widely used for sentiment analysis because:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>users share opinions quickly and publicly<\/li>\n\n\n\n<li>discussions happen in real time<\/li>\n\n\n\n<li>reactions to events, brands, products, globan and local news appear almost instantly<\/li>\n<\/ul>\n\n\n\n<p>This makes X (Twitter) one of the best sources for tracking <strong>live sentiment and opinion shifts<\/strong>.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"what-can\">What sentiment analysis can you do on X (Twitter)?<\/h3>\n\n\n\n<p>On  X (Twitter), you can perform several types of sentiment analysis, including:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>classifying tweets as positive, negative, or neutral<\/li>\n\n\n\n<li>tracking sentiment trends over time<\/li>\n\n\n\n<li>detecting spikes in negative or positive sentiment<\/li>\n\n\n\n<li>identifying topics behind sentiment (opinion mining)<\/li>\n\n\n\n<li>comparing sentiment between brands or time periods<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"how\">How accurate is X (Twitter) sentiment analysis?<\/h3>\n\n\n\n<p>The accuracy of  X (Twitter) sentiment analysis depends on the method and tool used.<\/p>\n\n\n\n<p>Modern AI models based on <strong>Machine Learning, Deep Learning, and Pretrained Language Models<\/strong> can achieve high accuracy, especially at scale. That said, they can still struggle with context-heavy tweets, sarcasm, or slang.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Learn how to do Twitter sentiment analysis in 6 simple steps. Understand positive and negative mentions, and see what X users think about your brand!<\/p>\n","protected":false},"author":74,"featured_media":156181,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":"","_links_to":"","_links_to_target":""},"categories":[3822],"tags":[2395,2326,2446,2323,2443,2392],"class_list":["post-110053","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-free-tools","tag-sentiment-analysis-tools","tag-twitter-sentiment-analysis","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\/wp-json\/wp\/v2\/posts\/110053","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/brand24.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/brand24.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/brand24.com\/blog\/wp-json\/wp\/v2\/users\/74"}],"replies":[{"embeddable":true,"href":"https:\/\/brand24.com\/blog\/wp-json\/wp\/v2\/comments?post=110053"}],"version-history":[{"count":39,"href":"https:\/\/brand24.com\/blog\/wp-json\/wp\/v2\/posts\/110053\/revisions"}],"predecessor-version":[{"id":182929,"href":"https:\/\/brand24.com\/blog\/wp-json\/wp\/v2\/posts\/110053\/revisions\/182929"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/brand24.com\/blog\/wp-json\/wp\/v2\/media\/156181"}],"wp:attachment":[{"href":"https:\/\/brand24.com\/blog\/wp-json\/wp\/v2\/media?parent=110053"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/brand24.com\/blog\/wp-json\/wp\/v2\/categories?post=110053"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/brand24.com\/blog\/wp-json\/wp\/v2\/tags?post=110053"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}