10 Best Sentiment Analysis Tools of 2026

1. 1

   Google Cloud Natural Language

   A Google Cloud API that scores sentiment, finds entities and classifies content in text.

   9.2overall

   A Google Cloud API that scores sentiment, finds entities and classifies content in text.

   Best forEngineering and data teams that want to score large volumes of reviews and tickets at a low per-unit price.

   Adoption data

   $30.7 billionAlphabet reported in its third quarter 2026 results that Google Cloud revenue rose 103 percent to $30.7 billion.

   Alphabet, Alphabet Announces Third Quarter 2026 Results (Exhibit 99.1) (2026): “Google Cloud delivered record growth as revenues increased 103% to $30.7 billion”

   Google Cloud Natural Language is a pre-trained API that returns sentiment, entities, content categories and syntax for any text you send it. For sentiment, each document and each sentence gets a score between -1.0 and 1.0 and a magnitude that shows how strongly the emotion is expressed, which helps separate neutral text from text that mixes praise and complaints. Entity sentiment goes one step further and scores the tone around each named product, place or company. Pricing is pay as you go: the first 5,000 units a month are free, the next million cost $1.00 per 1,000 units, and the rate falls to $0.50 and then $0.25 at higher volumes. Each request is rounded to units of 1,000 characters, which suits short reviews and ticket messages. The trade-off is that you get JSON, not a product: teams need their own pipeline, storage and dashboards, and Google asks projects above 20 million units a month to contact sales.

   Strengths

   • +5,000 sentiment units free every month
   • +Sentence-level scores show where a long review turns negative
   • +Price per unit falls as monthly volume grows

   Limitations

   • −No dashboard: you build storage and reporting yourself
   • −Document magnitude is not normalized, so long texts score higher
   • −Unsupported languages return an error rather than a score

   SummaryGoogle Cloud Natural Language is the best default for teams that already store their text and want cheap, granular sentiment scores. Pair it with your own warehouse and BI tool.

2. 2

   Amazon Comprehend

   An AWS natural language processing service that detects sentiment, entities, key phrases and PII in text.

   9.1overall

   An AWS natural language processing service that detects sentiment, entities, key phrases and PII in text.

   Best forTeams on AWS that want sentiment per brand, product or attribute mention.

   Adoption data

   $46.0 billionAmazon reported in its third quarter 2026 results that AWS segment sales grew 39 percent year over year to $46.0 billion.

   Amazon, Amazon.com Announces Third Quarter Results (2026): “AWS segment sales increased 39% year-over-year to $46.0 billion.”

   Amazon Comprehend is the AWS service for text analysis, and sentiment is one of its standard APIs. The basic sentiment call labels each document positive, negative, neutral or mixed with a confidence score for each label. Targeted sentiment is the more useful option for reviews and tickets: it finds each entity or attribute mentioned, such as a product, the staff or the price, and returns a sentiment and score for every mention, grouping pronouns that refer to the same thing. Both modes run in real time or as asynchronous jobs over files in S3. Pricing is per unit of 100 characters, at $0.0001 per unit for the first 10 million units, with a 3-unit minimum per request, so a 550-character comment costs 6 units. AWS gives new and existing customers a free tier of 50K units per API each month for 12 months. The main limit is language: targeted sentiment works on English documents only, so global teams may need a second service.

   Strengths

   • +Mixed label catches reviews that combine praise and complaints
   • +Targeted sentiment shows which product or attribute drew the complaint
   • +Free tier covers 50K units per API per month for 12 months

   Limitations

   • −Targeted sentiment supports English documents only
   • −Free tier ends 12 months after the first request
   • −3-unit minimum charge per request raises the cost of very short texts

   SummaryAmazon Comprehend is the strongest API pick for teams already on AWS that want to know which product or attribute drives negative tone. Check language support first if your text is not in English.

3. 3

   Azure AI Language

   Microsoft's language service with sentiment analysis, opinion mining, key phrases and entity recognition.

   8.8overall

   Microsoft's language service with sentiment analysis, opinion mining, key phrases and entity recognition.

   Best forMicrosoft shops that need aspect-level sentiment or on-premises containers.

   Adoption data

   48%Microsoft said on its first quarter fiscal 2027 earnings call in October 2026 that Azure revenue grew 48 percent.

   Microsoft, Microsoft FY27 First Quarter Earnings Conference Call (2026): “Azure revenue was ahead of expectations and increased 48%”

   Azure AI Language bundles sentiment analysis with key phrase extraction, language detection, entity recognition and PII detection behind one resource. Sentiment labels are returned at both the sentence and document level, each with confidence scores from 0 to 1 for positive, neutral and negative. Opinion mining, Microsoft's aspect-based option, ties sentiment to the words that describe attributes, such as a room being clean but the staff being slow, which is useful for product and service reviews. A Docker container lets regulated teams run sentiment on premises. Microsoft's US pricing page lists a free tier of 5,000 text records per month across the standard features and pay-as-you-go tiers starting at $1 per 1,000 text records, with commitment tiers for higher volume, but that page did not render US dollars for our checker, so we mark the price as pending. The biggest caveat is the roadmap: Microsoft's documentation says sentiment analysis and opinion mining retire on March 31, 2029 and directs new projects to Foundry models.

   Strengths

   • +Opinion mining links sentiment to specific attributes
   • +Containers keep text inside your own environment
   • +Free tier of 5,000 text records per month shared across features

   Limitations

   • −Sentiment analysis and opinion mining retire on March 31, 2029
   • −Microsoft directs new projects to Foundry models instead
   • −USD price could not be confirmed from our location

   SummaryAzure AI Language is a sound choice for Microsoft-centric teams that need opinion mining or containers today. Plan a migration path before building anything long-lived on it.

4. 4

   Medallia

   An experience management platform with AI text analytics for sentiment, emotion, empathy and effort.

   8.3overall

   An experience management platform with AI text analytics for sentiment, emotion, empathy and effort.

   Best forLarge enterprises analyzing feedback in many languages with prebuilt industry models.

   Adoption data

   1B+Medallia states on its company page that its platform processes more than 1 billion signals per month.

   Medallia, About Medallia (2026): “1B+ Signals processed per month”

   Medallia's text analytics reads survey comments, contact center interactions and other feedback, then tags themes, sentiment, empathy and emotion in dozens of languages and dialects. Teams can start from hundreds of prebuilt topic models for specific industries and adjust them in low-code or no-code tools, which reduces the setup work that usually comes with enterprise text analytics. Real-time alerts tell teams when categorization, sentiment or effort shifts, and custom KPIs let programs track sentiment, effort and empathy as numbers over time. Medallia says the platform processes more than 1 billion signals per month. The platform is aimed at large organizations with formal experience programs, and the price reflects that: there is no public pricing, so budgets depend on a sales quote. Smaller support teams that only need a sentiment label on tickets will get more for their money from an API or a lighter tool.

   Strengths

   • +Prebuilt models shorten setup for common industries
   • +Covers dozens of languages and dialects
   • +Alerts when sentiment or effort shifts

   Limitations

   • −No published price
   • −Built for large programs, not small teams
   • −Pricing page blocked automated checks from our location

   SummaryMedallia suits enterprises with multilingual feedback that want prebuilt industry models and alerting. It is more platform than most teams need for basic tone scoring.

5. 5

   Qualtrics XM Discover

   Qualtrics' conversation analytics product, built on Clarabridge, for calls, chats, emails, reviews and social feedback.

   8.3overall

   Qualtrics' conversation analytics product, built on Clarabridge, for calls, chats, emails, reviews and social feedback.

   Best forEnterprise CX and contact center teams that want sentiment, emotion and effort across every channel.

   Adoption data

   90 percentQualtrics said in October 2025 that more than 90 percent of its top 50 enterprise accounts had adopted at least one of its AI-powered products.

   Qualtrics, Qualtrics Accelerates AI Leadership and Value with Experience Agents (2025): “More than 90 percent of Qualtrics' top 50 enterprise accounts have adopted one or more of Qualtrics' AI-powered innovations”

   XM Discover is the Qualtrics product for unstructured customer conversations, and it carries the text and speech analytics Qualtrics gained when it bought Clarabridge. It pulls in support cases, chats, call transcriptions, emails, surveys, reviews and social posts, then enriches each with sentiment, emotion and the effort the customer had to spend to resolve a problem. Analysts work in two places: Designer, where they build topic models, tune sentiment settings, manage custom lexicons and set alerts, and Studio, where they build dashboards and share results. That makes it a strong fit for contact centers and CX programs that want to read every interaction rather than a survey sample. Qualtrics said in October 2025 that more than 90 percent of its top 50 enterprise accounts used at least one of its AI products. The downside is cost and effort: there is no public price, and getting value from tuned models takes trained admins.

   Strengths

   • +Scores effort and emotion as well as sentiment
   • +Sentiment settings can be tuned to your own data
   • +Fits teams already running Qualtrics surveys

   Limitations

   • −No published price; sold through sales
   • −Setup of models and dictionaries needs dedicated admins
   • −Heavy for teams that only need a sentiment label

   SummaryQualtrics XM Discover is the most complete choice for enterprise CX teams that want sentiment, emotion and effort on every call, chat and ticket. Smaller teams will find it heavier than they need.

6. 6

   Brandwatch

   A consumer intelligence and social media suite with a large archive of public posts and AI analysis.

   8.2overall

   A consumer intelligence and social media suite with a large archive of public posts and AI analysis.

   Best forResearch and insights teams that need deep history and custom classifiers on social data.

   Adoption data

   half of the Forbes 100Brandwatch said in a March 2026 press release that it is trusted by half of the Forbes 100.

   Brandwatch, Brandwatch Report Finds Only 25% of Marketers Truly Understand Their Audiences (2026): “Trusted by half of the Forbes 100, Brandwatch equips the world's most innovative companies with AI-powered insights and tools”

   Brandwatch Consumer Research is the research side of the Brandwatch suite, built for analysts who need to study public opinion in depth. It draws on more than 100 million online sources with a post archive that reaches back to 2008, so teams can compare how sentiment around a brand or category has moved across years rather than weeks. Its Iris assistant turns query results into readable summaries, and custom classifiers powered by machine learning let analysts define their own categories, which matters when standard positive and negative labels miss the nuance of a market. Companies can also upload first-party data and analyze it next to online conversations. Brandwatch says half of the Forbes 100 use its products. It does not publish prices, and it is a heavier tool than a support or CX team usually needs, but for insights teams that study social data at scale it is one of the deepest options.

   Strengths

   • +Archive back to 2008 supports long trend studies
   • +Custom classifiers adapt analysis to your categories
   • +First-party data can sit beside social data

   Limitations

   • −No published price
   • −Aimed at insights teams more than support teams
   • −Learning curve for query building and classifiers

   SummaryBrandwatch is the strongest choice for insights teams that need deep social history and custom classification. Support teams scoring tickets should look elsewhere.

7. 7

   Sprout Social

   A social media management suite with a listening add-on that tracks sentiment across public conversations.

   8.2overall

   A social media management suite with a listening add-on that tracks sentiment across public conversations.

   Best forSocial teams that want publishing, inbox and sentiment tracking in one tool.

   Adoption data

   tens of thousandsSprout Social said in its quarterly report for the period ended June 30, 2026 that tens of thousands of customers in more than 100 countries use its platform.

   Sprout Social, Sprout Social Form 10-Q for the quarter ended June 30, 2026 (2026): “Currently, tens of thousands of customers across more than 100 countries rely on our platform.”

   Sprout Social is a social media management suite first, with a listening module that adds sentiment. The Standard plan, at $199 per seat per month on annual billing, includes five social profiles, a consolidated inbox, keyword and location monitoring and review management. Listening, sold as an add-on to Standard and higher plans, uses AI to pull insights from public conversations, groups topics with smart categories, tracks sentiment to gauge how consumers feel, and sends custom spike alerts when volume jumps. That combination suits social teams that want to see tone on the same screen where they reply and publish. Sprout Social says tens of thousands of customers in more than 100 countries use the platform. The weakness for this list is scope and cost: sentiment covers social conversations rather than support tickets or survey comments, and the listening add-on is priced separately from the already high seat price.

   Strengths

   • +Sentiment sits next to publishing and the social inbox
   • +30-day free trial without a credit card
   • +Spike alerts flag sudden changes in conversation

   Limitations

   • −Listening costs extra on top of the seat price
   • −$199 per seat adds up quickly for larger teams
   • −Focused on social, not tickets or surveys

   SummarySprout Social is the pick for social teams that want sentiment beside publishing and engagement. Teams that only need listening can pay less with Brand24.

8. 8

   Brand24

   A media monitoring tool that collects online mentions and scores their sentiment with AI.

   8.1overall

   A media monitoring tool that collects online mentions and scores their sentiment with AI.

   Best forSmall and midsize brands that want affordable mention tracking with sentiment included.

   Adoption data

   4000+Brand24 says on its homepage that more than 4,000 brands use its monitoring tool.

   Brand24, Brand24 homepage (2026): “Loved by 4000+ brands of all sizes”

   Brand24 collects mentions of your keywords from social networks, news sites, blogs, forums, podcasts, reviews and more, and scores each mention positive, negative or neutral as soon as it is collected. Sentiment works in more than 90 languages and is included on every plan, which is not the case with suites that sell listening as an add-on. The Individual plan costs $199 per month on annual billing, or $249 monthly, and covers 3 keywords, 2,000 mentions a month and one user with updates every 12 hours. Team, at $299 a month billed annually, raises that to 7 keywords, 10,000 mentions and unlimited users, and Pro adds real-time updates plus AI insights, topics and a brand assistant. Brand24 says more than 4,000 brands use it. The limits show at scale: mention caps are tight on lower tiers, and the sentiment output is a three-way label rather than emotion or aspect detail.

   Strengths

   • +Sentiment included from the cheapest plan
   • +Unlimited users from the Team plan
   • +14-day free trial

   Limitations

   • −Individual plan is limited to 3 keywords and 2K mentions a month
   • −Individual plan updates only every 12 hours
   • −Sentiment labels are positive, negative and neutral only

   SummaryBrand24 is the best value for teams that want mention tracking with sentiment without an enterprise contract. Larger programs will hit mention caps and want more detailed analysis.

9. 9

   Lumen by Talkwalker

   A social listening and consumer intelligence platform, formerly Talkwalker, now part of Hootsuite.

   8.1overall

   A social listening and consumer intelligence platform, formerly Talkwalker, now part of Hootsuite.

   Best forGlobal brands that need sentiment across many languages plus image and logo detection.

   Adoption data

   2,500Talkwalker says on its homepage that more than 2,500 organizations use its platform.

   Talkwalker, Lumen by Talkwalker homepage (2026): “The first choice of over 2,500 organizations”

   Talkwalker, now renamed Lumen by Talkwalker as it moves closer to its parent Hootsuite, is a social listening platform built for global brands. It indexes more than 150 million websites and more than ten social networks, including Weibo, and its AI sentiment analysis works in more than 127 languages, the widest coverage stated by any vendor here. Analysts can adjust sentiment results by hand when the model misreads sarcasm or industry jargon. It also recognizes more than 30,000 brand logos plus scenes and objects, including in video, which finds mentions where the brand name never appears in the text. Users get two years of historical data. Talkwalker says more than 2,500 organizations use it, and the company states that data, reports and integrations stay the same after the rename. Pricing is not published, and the platform is priced for enterprise programs rather than small teams.

   Strengths

   • +Widest stated sentiment language coverage on this list
   • +Logo and image recognition finds untagged brand mentions
   • +Sentiment can be corrected by hand

   Limitations

   • −No published price
   • −Historical access is two years, shorter than Brandwatch
   • −Brand change to Lumen may confuse procurement

   SummaryLumen by Talkwalker is the pick for multinational brands that need sentiment in many languages and visual brand detection. Teams with a smaller budget should compare Brand24.

10. 10

    Thematic

    A feedback analytics platform that finds themes and sentiment in survey comments, tickets and reviews.

    7.5overall

    A feedback analytics platform that finds themes and sentiment in survey comments, tickets and reviews.

    Best forCX and product teams that want themes and sentiment from feedback without building models.

    Thematic analyzes open-text feedback from surveys, support tickets, call recordings and reviews, groups it into themes and attaches sentiment to each, then shows how each theme moves a score such as NPS or CSAT. Feedback comes in through one-click integrations including Zendesk, Intercom, Gong, Trustpilot and app stores, or by CSV, with Snowflake, BigQuery and SFTP available on Enterprise. Thematic Answers lets teams ask questions of their feedback, and an MCP server exposes the data to assistants such as Claude, ChatGPT and Copilot. Unusually for this category, the starting price is published: Foundation costs $25,000 a year for 25,000 comments and up to 3 datasets, with an assigned customer success manager and 24/7 support. Enterprise is custom and drops the per-comment rate as volume grows. We found no citable customer count, so adoption is scored conservatively, and there is no free trial, only a paid pilot.

    Strengths

    • +Published starting price, unlike most feedback platforms
    • +Links sentiment and themes to score changes such as NPS
    • +Integrations and CSV uploads included at no extra cost

    Limitations

    • −Entry plan is $25,000 a year
    • −Foundation is capped at 25,000 comments and 3 datasets
    • −No free trial; pilots are paid

    SummaryThematic is the specialist pick for teams that want themes and sentiment tied to NPS or CSAT changes. The $25,000 entry price makes it a fit for funded CX programs only.

Questions or corrections: editorial@statlyst.com · Disclosure