12 best sentiment analysis tools to understand your customers in 2026

Having access to customer feedback and communication is essential if you want to improve your product and the user experience (UX). But collecting all that data is of little use if you have no meaningful way to analyze it. Sentiment analysis tools are there to do the heavy-lifting for you, so you can focus on addressing your users' needs.

Imagine you had 1,000 chatbot conversations to sort and analyze—doing so manually would take forever and leave you with few actionable insights. That's where sentiment analysis software can help. These tools interpret the sentiment behind how your customers speak about your product and brand, so you don't have to wade through pages of text.

This guide covers 12 of the best sentiment analysis tools for 2026, organized by use case—from full-stack platforms to social listening tools to text analytics solutions—so you can find the right fit for understanding what your customers really think.

Key takeaways

• Sentiment analysis tools use artificial intelligence (AI) and natural language processing (NLP) to automatically categorize customer feedback as positive, neutral, or negative, saving hours of manual analysis

• The best tool depends on your primary data source—choose social listening tools for brand monitoring, survey tools for direct feedback, or full-stack platforms for multi-channel analysis

• Look for AI-powered features like automated tagging, emotion detection, and real-time alerts to get actionable insights faster

• Integrations with your existing tech stack (customer relationship management (CRM), support tools, analytics platforms) are essential for operationalizing sentiment insights

Want to know what customers really think and feel about your product?

Sentiment analysis tools comparison table

12 best sentiment analysis tools for 2026

Sentiment analysis software helps you measure and understand the feelings or opinions behind a piece of text or a conversation. Businesses use these tools for text analytics, conversation analytics, feedback and review analytics, media monitoring, social monitoring, and comprehensive brand monitoring.

The tools below are organized into three categories based on their primary strength: full-stack platforms that handle multiple data sources, social media-focused tools for brand monitoring, and text analytics tools for survey and feedback analysis.

Full-stack sentiment analysis platforms

These tools handle multiple data sources and use cases, making them ideal if you need to analyze sentiment across surveys, support tickets, social media, and more.

1. Contentsquare

Best for: Teams that want to connect customer sentiment to actual user behavior on their website or app

Pricing: Enterprise (custom pricing)

G2 rating: 4.7/5

Contentsquare's Voice of Customer (VoC) combines survey collection with AI-powered sentiment analysis that automatically tags responses as positive, neutral, or negative. What sets Contentsquare apart is the ability to connect what customers say with what they actually do on your site.

The platform includes ready-made survey templates to measure specific sentiment scores, including Net Promoter Score® (NPS) and customer satisfaction (CSAT) surveys. When the sentiment breakdown feature is enabled, you can see the distribution of positive, neutral, and negative survey answers in your response pool, both currently and over time.

Contentsquare's AI Sense can also jumpstart your research process with automated survey-building and a generated summary report of responses including key findings, quotes, and suggestions for next steps.

For more in-depth insights, identify trends in user sentiment then watch session replays of individual users navigating your product or site to find out the reasons for their negative feedback. For example, you might identify a broken link that's leading customers to u-turn from a landing page.

How Contentsquare help with user sentiment analysis:

• Survey and feedback tools to gather data about user sentiment

• Survey templates, such as NPS score, CSAT score, exit-intent, B2B churn, and B2B usability

• AI in Voice of Customer with built-in sentiment analysis that automates the research process

• Customizable dashboards for a visual overview of your insights from key sessions—like u-turns and rage clicks—alongside behavior data

• Heatmaps, which show where users click and scroll the most on your page, and session recordings to get deeper insights into the 'why' behind your findings

• Slack and Microsoft Teams integrations

2. Qualtrics XM

Best for: Enterprise organizations needing multi-channel sentiment analysis with predictive capabilities

Pricing: Enterprise (custom pricing)

G2 rating: 4.4/5

Qualtrics XM offers sentiment analysis and data collection capabilities through its acquisition of Clarabridge. This software lets you send out NPS surveys and predict churn from the results, while the tool's natural language understanding (NLU) breaks down your customer interactions to analyze topics, sentiment, intensity, emotion, and effort.

Use Qualtrics XM to quickly visualize the purpose of customer service conversations and the emotions they stir up, so you can improve the areas of your product that cause customers to reach out in the first place, while enhancing customer service interactions.

Qualtrics XM's social listening feature lets you keep an eye on what your customers are saying across the web, so you can analyze and visualize the opinions customers share about you on social media and review sites. Also, learn how to better serve your customers using XM Discover, which detects empathy and measures the emotional intensity in messages.

How Qualtrics XM helps with user sentiment analysis:

• NPS survey sentiment analysis and distribution

• Social listening capabilities

• Contact center analytics

• Predictive analytics

• Multi-language sentiment analysis

Get a quick view of how your customers perceive your product, and the emotions generated by your experience, so you can pinpoint where you need to improve. Source: Qualtrics.com

3. Medallia

Best for: Large enterprises running comprehensive customer experience programs

Pricing: Enterprise (custom pricing)

G2 rating: 4.5/5

Medallia is an enterprise experience management platform that captures feedback signals from across the customer journey—surveys, social media, contact center interactions, and Internet of Things (IoT) devices—and applies AI-powered sentiment analysis to surface actionable insights.

The platform's Text Analytics engine uses NLP to automatically categorize open-ended feedback by topic and sentiment, helping you identify emerging issues before they become widespread problems. Medallia also offers role-based dashboards that deliver relevant insights to different teams, from frontline employees to executives.

How Medallia helps with user sentiment analysis:

• Omnichannel feedback capture (surveys, social, contact center, in-app)

• AI-powered text analytics with topic and sentiment detection

• Real-time alerts for negative sentiment spikes

• Role-based reporting and action management

• Integration with CRM and operational systems

4. Chattermill

Best for: Product and CX teams wanting to unify feedback from multiple sources

Pricing: Mid-market to Enterprise (custom pricing)

G2 rating: 4.5/5

Chattermill specializes in unifying customer feedback from surveys, reviews, support tickets, and social media into a single platform for AI sentiment analysis. The tool uses deep learning to understand context and nuance in customer comments, going beyond simple positive/negative classification to identify specific themes and emotions.

What makes Chattermill particularly useful is its ability to connect sentiment trends to business metrics, helping you quantify the impact of customer experience issues on revenue and retention.

How Chattermill helps with user sentiment analysis:

• Unified feedback analytics across multiple sources

• Deep learning-powered sentiment and theme detection

• Customizable taxonomies for industry-specific analysis

• Impact quantification linking sentiment to business outcomes

• Automated insight summaries and trend alerts

Social media sentiment analysis tools

These tools focus on monitoring brand mentions and analyzing sentiment across social platforms, review sites, and online conversations.

5. Brand24

Best for: Marketing teams and agencies needing affordable real-time social monitoring

Pricing: Starting at $79/month

G2 rating: 4.6/5

Brand24 is a social listening tool that monitors mentions of your brand, products, or keywords across social media platforms, news sites, blogs, forums, and review sites. The tool automatically analyzes the sentiment of each mention, helping you quickly identify positive buzz or emerging PR issues.

Brand24's Influence Score helps you identify which mentions come from high-impact sources, so you can prioritize engagement with influential voices. The platform also tracks sentiment trends over time, letting you measure the impact of campaigns or product launches on public perception.

How Brand24 helps with user sentiment analysis:

• Real-time monitoring across social media, news, blogs, and forums

• Automated sentiment tagging (positive, negative, neutral)

• Influence scoring to prioritize high-impact mentions

• Sentiment trend tracking and comparison reports

• Slack and email alerts for mention spikes

• Hashtag and keyword tracking

6. Brandwatch

Best for: Enterprise brands needing deep consumer intelligence and trend analysis

Pricing: Enterprise (custom pricing)

G2 rating: 4.4/5

Brandwatch is an AI-powered consumer intelligence platform that goes beyond basic social listening to provide deep insights into consumer opinions, trends, and conversations. The platform analyzes data from social media, forums, blogs, news sites, and review platforms to give you a comprehensive view of brand sentiment.

Brandwatch's AI can detect emerging trends and conversation themes before they go mainstream, helping you stay ahead of market shifts. The platform also offers image analysis capabilities, identifying your brand logo in photos shared across social media.

How Brandwatch helps with user sentiment analysis:

• AI-powered sentiment and emotion analysis

• Trend detection and conversation clustering

• Image recognition for visual brand monitoring

• Historical data analysis for long-term trend tracking

• Customizable dashboards and automated reports

• Crisis detection and alert system

7. Awario

Best for: Small to mid-sized businesses wanting affordable social monitoring

Pricing: Starting at $29/month

G2 rating: 4.1/5

Awario is a comprehensive brand monitoring tool that tracks the way customers are talking about you online. Use it to monitor what users say about your product experience across various channels, and track, sort, and analyze your customers' posts and reviews.

Awario also lets you track keywords relevant to your business and product, and it detects mentions of these keywords in multiple languages. Helpful visuals display the evolution of your users' sentiment about your product over time, identify your most powerful social sources, and show important mentions in real time.

If you get a lot of feedback or opinions across various social channels and don't know how to start tracking and analyzing it, Awario is a useful tool to easily process and visualize this information.

Awario's features include:

• Sentiment analytics

• Non-stop monitoring

• Straightforward reports

• Multilingual capabilities

• Boolean search for precise monitoring

• Competitor comparison tracking

Awario's dashboard shows you key metrics, like mention and reach, and which topics your users tend to discuss. Source: Awario.com

8. Sprout Social

Best for: Social media teams wanting sentiment analysis integrated with publishing and engagement tools

Pricing: Starting at $199/month

G2 rating: 4.4/5

Sprout Social combines social media management with listening and sentiment analysis capabilities. The platform lets you monitor brand mentions, track sentiment trends, and engage with customers—all from a single dashboard. This integration makes it easy to act on sentiment insights immediately.

Sprout's listening tools analyze conversations across Twitter, Facebook, Instagram, LinkedIn, Reddit, and review sites, automatically categorizing mentions by sentiment and topic. The platform also offers competitive benchmarking, so you can compare your brand sentiment against competitors.

How Sprout Social helps with user sentiment analysis:

• Integrated publishing, engagement, and listening

• Automated sentiment classification across platforms

• Competitive sentiment benchmarking

• Topic and trend analysis

• Customizable listening queries

• Team collaboration and workflow tools

Text and feedback analysis tools

These tools specialize in analyzing survey responses, customer reviews, support tickets, and other text-based feedback.

9. MonkeyLearn

Best for: Teams wanting customizable, no-code text analysis

Pricing: Free tier available; paid plans from $299/month

G2 rating: 4.1/5

MonkeyLearn offers a no-code platform that makes text analysis accessible to non-technical users. This simple tool provides text analysis that will help you sort and visualize your customers' opinions.

One of the best tools out there is MonkeyLearn. It can help you create a fully customizable analysis model, without any coding knowledge required. The model learns to adapt to the language specific to an industry, and it includes a free social media sentiment analysis tool to support your business branding and marketing efforts.

Baruch Labunski

CEO, RankSecure

MonkeyLearn lets you analyze net promoter score® (NPS) and customer satisfaction survey responses, reviews, customer support tickets, social media posts, and any type of conversation, on a centralized dashboard. You can also divide your data by categories and intent, and view sentiment over time and by category.

How MonkeyLearn helps with user sentiment analysis:

• Simple no-code platform

• Survey, review, customer support, social media, and general voice-of-the-customer (VoC) analytics powered by machine learning algorithms and NLP

• Text classification

• Text extraction

• Integrations with customer support, surveys, and communications platforms and apps like Excel or Google Sheets

• Free sentiment analysis tool to assess your social media brand reputation and marketing efforts

Analyze your data and get a clear picture of the results with MonkeyLearn. Source: MonkeyLearn.com

10. Lexalytics

Best for: Organizations needing advanced NLP with industry-specific customization

Pricing: Enterprise (custom pricing)

G2 rating: 4.3/5

Lexalytics offers enterprise-grade text analytics and NLP systems that can be deployed on-premise or in the cloud. The platform excels at understanding industry-specific language and can be trained on your domain's terminology for more accurate sentiment classification.

Lexalytics goes beyond basic sentiment to detect intentions, emotions, and themes in customer feedback. The platform also offers entity extraction, helping you identify specific products, features, or competitors mentioned in customer comments.

How Lexalytics helps with user sentiment analysis:

• Advanced NLP with customizable models

• Industry-specific sentiment tuning

• Entity and theme extraction

• Intention and emotion detection

• On-premise or cloud deployment options

• Application programming interface (API) access for custom integrations

11. Rosette

Best for: Global organizations analyzing feedback in multiple languages

Pricing: Enterprise (custom pricing)

G2 rating: 4.2/5

Rosette is a powerful tool for market research and product teams that want to know more about what customers think about their product or brand, by analyzing text and performing sentiment analysis in over 30 languages. You can also teach Rosette new topics, meaning the software can become well-versed in your specific industry.

For example, you can use Rosette to scan online reviews of your product and identify the features that users speak about positively and negatively. This gives your team insights into not only what users think about your product, but why they feel that way and what you can do to improve their experience.

How Rosette helps you analyze user sentiment:

• Sentiment analytics

• Document and entity-level analysis

• Content categorizer

• Multilingual capabilities

  (30+ languages)

• Custom topic analytics

• Topic extraction

Use Rosette to analyze the way your users talk about you and your product in the wild. Source: Rosette.com

12. Repustate

Best for: Teams analyzing video content alongside text feedback

Pricing: Mid-market (custom pricing)

G2 rating: 4.3/5

Repustate is a customizable tool that lets you analyze text data in multiple languages from Google Reviews, YouTube, Podcast, Instagram, and various news sources.

The tool's customer experience sentiment analysis lets you classify customer feedback into a variety of categories, including pricing, convenience, and ease of use, so you know exactly what your users like and dislike about your offering.

Repustate also analyzes the customer sentiment of video content, which saves you time trying to gauge the opinions of your users via YouTube and TikTok reviews.

Repustate's features that help with sentiment analysis include:

• Sentiment analytics

• Video analytics

• Multilingual capabilities (23 supported languages)

• Distinct content categories

• Data integrations

• Competitor comparisons

• Performance and conversation tracking

• Social monitoring

Repustate's sentiment analysis software shows you which aspects of your product users are talking about and how they feel about your brand. Source: Repustate.com

Key features to look for in sentiment analysis tools

Not all sentiment analysis tools are created equal. When evaluating options, focus on these capabilities that separate effective tools from basic ones.

AI and NLP capabilities

The accuracy of sentiment analysis depends heavily on the underlying AI. Look for tools that offer:

• Emotion detection

  beyond positive/negative/neutral (joy, anger, frustration, etc.)

• Sarcasm and irony recognition

  to avoid misclassifying negative comments as positive

• Context understanding

  that considers surrounding text, not just individual words

• Aspect-based analysis

  that identifies sentiment toward specific features or topics

Tools with more sophisticated NLP will give you more accurate and actionable insights, especially when analyzing nuanced customer feedback.

Data source coverage

Consider where your customer feedback lives and ensure your tool can analyze it:

• Surveys and feedback forms

  (NPS, CSAT, open-ended responses)

• Social media platforms

  (Twitter, Facebook, Instagram, LinkedIn, TikTok)

• Review sites

  (G2, Capterra, Trustpilot, Google Reviews, Yelp)

• Support tickets and chat transcripts

• Call recordings and transcripts

• News and blog mentions

Some tools specialize in one area while others offer broader coverage. Match the tool to your primary data sources.

Integration options

Sentiment insights are most valuable when they connect to your existing workflows. Look for integrations with:

• CRM systems

  (Salesforce, HubSpot) to link sentiment to customer records

• Support platforms

  (Zendesk, Intercom) to prioritize tickets by sentiment

• Analytics tools

  to correlate sentiment with behavioral data

• Communication tools

  (Slack, Teams) for real-time alerts

• Data warehouses

  for custom analysis and reporting

We integrate with over 100 tools including Slack and Microsoft Teams, making it easy to share sentiment insights across your organization.

How to choose the right sentiment analysis tool

When deciding on a sentiment analysis tool, think about the specific needs of your business and customers, and where you can gather data.

Match the tool to your primary data source

Your choice should align with where most of your customer feedback originates:

• Website and product feedback:

  Choose a tool like ours that combines surveys with behavioral analytics, so you can see what users say alongside what they do

• Social media and brand mentions:

  Opt for social listening tools like Brand24, Brandwatch, or Awario that monitor conversations in real time

• Support tickets and calls:

  Look for tools with contact center analytics like Qualtrics XM or Medallia

• Multi-channel feedback:

  Consider full-stack platforms that can unify data from multiple sources

Using surveys and feedback tools on your website helps you collect voice-of-the-customer insights when they're feeling the love—or not—for your product experience.

A B2B SaaS product might generate many reviews on sites like G2 or Capterra—which can be rich sources of user sentiment. Or, if you have a busy help center, make the most of conversations that take place between customers and staff, like sales calls, to understand user feedback.

And for B2B and consumer brands alike, keeping track of social media mentions helps you analyze what people say about your business when they think you're not listening.

Consider your team's technical expertise

Different tools require different levels of technical skill:

• No-code platforms

  (MonkeyLearn, Brand24, Awario) work well for marketing teams and non-technical users who need quick insights without developer support

• API-based tools

  (Lexalytics, Rosette) offer more customization but require technical resources to implement and maintain

• Enterprise platforms

  (Qualtrics XM, Medallia, Contentsquare) typically include implementation support and are designed for cross-functional teams

Be realistic about your team's capacity to implement and maintain the tool. A simpler solution you actually use beats a sophisticated one that sits idle.

Frequently asked questions on sentiment analysis tools