Blog / Sentiment Analysis

The 12 Best Sentiment Analysis Tools for 2026

Updated: April 9, 2026

14 min read

The best sentiment analysis tools help identify and measure the emotional tone in text to understand public opinion and customer sentiment.

Let’s dive in!

The Best Sentiment Analysis Tools

Take a look at the shortlist of the very best social listening tools deserves your attention.

🔎 Research methodology

When selecting the tools, I considered the following 8 key factors: sentiment and analytics quality, functionality, data coverage, the sentiment score of a tool, reporting features, ease of use, customer support & reliability, and customer reviews.

The list is compiled based on my own experience as a marketer using sentiment analysis daily since 2021, Reddit users’ comments, and professional review platforms (G2, Capterra).

The tools are divided into four categories:

1. All-in-one solutions
2. Free sentiment analysis tools
3. Social media sentiment analysis tools
4. Customer sentiment analysis tools

All-in-one sentiment analysis tools

01 Brand24

Brand24 is an AI-powered media monitoring tool that detects, tracks, and analyzes the quantity and quality of brand mentions published in multiple sources on the web.

The tool offers intuitive and advanced sentiment analysis, powered by artificial intelligence.

I mentioned that Brand24 monitors many online sources. Which exactly?

Brand24 monitors:

• Social media platforms, including Facebook, Instagram, TikTok, X (Twitter), YouTube, LinkedIn, Reddit, Telegram, and Twitch;
• Non-social sources, such as news sites, blogs, video platforms, podcasts, review platforms, and newsletters.

All the mentions are tracked and analyzed in real time.

As I am deeply fascinated with AI, I’d like to briefly show you my favorite Brand24 feature – the AI Brand Assistant. It helps you understand what’s behind your stats.

AI Brand Assistant uses advanced language models to transform your project-related questions into data-driven insights.

It works similarly to ChatGPT but has an edge: it can access your internal project’s data.

So, if you need someone to explain all the numbers from your project in an easy-to-digest way, just ask the Brand Assistant.

For example, I asked him about the overall sentiment towards Rihanna’s Fenty Hair product launch. The Brand Assistant’s answer was incredibly insightful!

🔑 Key features:

• Real-time sentiment analysis
• AI Analysis and Brand Assistant
• Social and non-social mentions volume and reach
• Sentiment reports
• Influencer Score
• Storm Alerts
• Context analysis

💪 Pros:

• Many advanced AI features that are quite extra for sentiment analytics software.
• Robust source coverage.
• Real-time insights and alerts to take care of your reputation.

🔻 Cons:

• The tool doesn’t access much historical data.

02 Qualtrics

Qualtrics is a platform that helps you understand all about people’s experiences with your brand.

It offers many tools grouped under its Experience Management Platform (EMP), including Customer Experience (CX), Employee Experience, and Strategy & Research.

One of Qualtrics’ key strengths is its sentiment analysis tool.

The platform uses a sentiment analysis model called Text iQ. It analyzes written feedback from survey answers and comments on various social media platforms to check if it’s positive, negative, or neutral.

What’s great about Text iQ is that it offers really advanced context analysis.

Additionally, Qualtrics groups feedback into interrelated topics. That helps in spotting common patterns and trends.

Any downsides?

Well, from the perspective of a small or medium-sized company, Qualtrics is probably too complex and expensive.

🔑 Key features:

• Survey creation and management
• Text iQ-powered sentiment analysis
• Thematic analysis

💪 Pros:

• Rich dashboard and survey management features.
• Excellent for enterprise-scale feedback analytics.

🔻 Cons:

• Steep learning curve for non-technical users.

Bonus: How to do AI customer sentiment analysis.

03 OpenText

OpenText is an enterprise information management (EIM) software providing multiple solutions for managing, securing, and analyzing value hidden behind enterprise information.

OpenText’s most relevant feature regarding sentiment analysis is called Intelligent Classification (formerly Magellan Text Mining).

It’s an AI-supported tool that crawls through the content to discover emotions, behaviors, & trends, and presents ready-to-implement insights.

OpenText can detect sentiment in various sources, including documents, social media networks, and customer feedback.

A potential downside of OpenText is that its comprehensive feature set can be too complex and may require significant training to use effectively.

Therefore, it’s recommended mostly for enterprise-sized businesses.

🔑 Key features:

• Advanced sentiment analysis with Intelligent Classification
• Cross-document analysis for deep-down content understanding
• Multilingual sentiment analysis processing in nearly 40 languages

💪 Pros:

• Multilingual and cross-document support

🔻 Cons:

• Requires training and IT resources
• Complex to implement and manage

04 Medallia

Medallia is a comprehensive customer and employee experience platform (CX/EX platform).

This means it goes beyond just analyzing online conversations to provide a holistic view of how people interact with your brand.

As for customer sentiment, Medallia gathers feedback from various touchpoints throughout the customer journey. This includes surveys, website behavior tracking, support interactions, and even product reviews.

Regarding employee experience, Medallia helps capture the sentiment through surveys and pulse checks. That allows employers to understand employee satisfaction, identify potential issues, and improve company culture.

Both spheres are supported with Medallia’s automated sentiment analysis that can detect specific emotions like frustration, delight, or confusion.

🔑 Key features:

• Detailed Sentiment Analysis
• Customer Effort Score (CES)
• Employee Pulse Surveys
• AI-powered Insights

💪 Pros:

• Detects nuanced emotions like frustration and delight.
• Strong integration with customer journey touchpoints.

🔻 Cons:

• Complex platform with many overlapping features.

Social media sentiment analysis tools

05 Sprout Social

Sprout Social is an all-in-one social media management platform that helps brands manage their social media presence with a single tool.

Namely, Sprout Social lets you plan, organize, and schedule social media posts for Facebook, Instagram, LinkedIn, TikTok, Pinterest, and YouTube.

Besides, Sprout Social offers social listening features, including sentiment analysis.

The tool’s sentiment analysis is quite typical. It uses natural language processing to perform detailed emotion analysis and assess whether the mention has positive, neutral, or negative sentiment.

But Sprout Social offers something extra – a feature called Sentiment Reclassification that allows you to manually change the sentiment classification if the tool detected it wrongly.

If that’s not enough, you can predefine a set of rules to improve the accuracy of sentiment analysis.

To enjoy Sprout Social’s listening features, you must request an Enterprise plan.

🔑 Key features:

• Sentiment research
• Trend identification
• Sentiment Reclassification

💪 Pros:

• Integration with multiple social platforms in one tool.

🔻 Cons:

• Sentiment analysis features are only available on Enterprise plans.

06 Meltwater

At its core, Meltwater is a media intelligence and social listening tool that helps businesses track and analyze online news, social media, and other digital content.

It offers a significant number of social media monitoring and competitor analysis features that, when combined, provide useful insights into brand reputation, current trends, and the overall competitive landscape.

Of course, Meltwater is also a sentiment analysis tool!

It allows you to discover emotions from many social media platforms, including X (Twitter), Facebook, Instagram, YouTube, Pinterest, Twitch, and Reddit.

The platform uses artificial intelligence to classify brand mentions as positive, neutral, or negative.

It also provides real-time alerts, allowing you to respond quickly and protect your brand reputation.

Unfortunately, Meltwater is expensive and can exceed the budgets of small or medium companies.

🔑 Key features:

• Customizable alerts
• Influencer identification
• Social reporting

💪 Pros:

• Real-time alerts for crisis management.

🔻 Cons:

• The interface may feel bloated for non-analysts.

07 Mentionlytics

Mentionlytics is a web and social media monitoring tool that allows you to track and analyze your brand mentions across multiple social media sites: Facebook, Instagram, YouTube, LinkedIn, Reddit, X (Twitter), Bluesky, and Threads.

As for the tool’s sentiment analysis feature, it’s quite usual. Mentionlytics uses natural language processing to discover positive, neutral, or negative sentiment breakdown behind brand mentions.

The tool also includes AI Emotion Analysis, which goes a step beyond basic positive/negative classification.

Of course, the tool is able to present the sentiment analysis visually. Green is positive, red is negative, and grey is neutral.

Any downsides? Well, if you’re a fan of nice dashboards and UX, you’ll be a bit frustrated with Mentionlytics.

🔑 Key features:

• Over 100 supported languages
• Review monitoring
• AI Emotion Analysis
• Email alerts

💪 Pros:

• Covers all major social media platforms and includes email alerts.

🔻 Cons:

• It is less customizable than some competitors and online sentiment analysis tools.

08 Hootsuite

Sentiment analysis is just one of the features in the bigger arsenal of the social media management legend.

As their slogan goes, it provides richer social listening and helps you make smarter business decisions.

Hootsuite’s sentiment analysis tool helps you understand the sentiment behind your brand.

The platform will help you mine customer opinions and share insights with your team. Social media data can improve your business’s bottom line.

Once you determine people’s attitudes toward your brand, you can filter your mentions by language, location, and gender. This helps you build your market segment more structured and detailed.

Real-time access to data from more than 100 million sources in over 50 languages helps you monitor conversations across social, blogs, forums, etc.

In 2024, Hootsuite acquired Talkwalker (a social listening platform) and integrated its capabilities directly into the product. So the listening side has gotten visibly stronger.

🔑 Key features:

• Social media data tracking
• Trend discovery
• Advanced and detailed analysis

💪 Pros:

• Integrates well into social media management workflows.

🔻 Cons:

• Sentiment analysis is a secondary feature, so it lacks more advanced things like emotion detection from textual data.

Customer sentiment analysis tools

09 Dialpad

Dialpad is a slightly different sentiment analysis software from the rest on the list.

In general, Dialpad is a cloud-based communication platform for making business calls, sending texts, and holding video meetings.

But when you look deeper, you’ll realize that Dialpad is also a unique real-time customer sentiment analysis tool. What’s so special about it?

Well, Dialpad AI Contact Center transcribes voice calls in real-time. At the same time, artificial intelligence performs live sentiment analysis to detect neutral, positive, or negative sentiment.

Moreover, Dialpad offers AI-powered pop-up cards with conversation tips that appear when the conversation goes wrong. Impressive!

🔑 Key features:

• Dialpad AI Contact Center
• Real-time Assist
• QA Scorecard

💪 Pros:

• Real-time voice sentiment analysis.
• AI-generated coaching tips during calls.

🔻 Cons:

• Less applicable for passive sentiment tracking.e sentiment analysis during live voice calls with AI-powered conversation assistance.
• Narrow focus – only works for live voice/text.

10 Reputation

Reputation is a tool focusing on improving your brand image.

To be more specific, Reputation offers a wide range of services, including review monitoring, online listings analysis, and social media listening.

Reputation’s sentiment analysis model uses machine learning and natural language processing to learn how customers feel about your brand, products, or services.

The tool can discover the emotions hidden behind customer feedback, survey responses & social media posts and categorize them into different sentiment buckets (negative, neutral, positive).

As Reputation must process massive amounts of data, it needs advanced computing resources. Unfortunately, many users report the tool goes pretty slow.

🔑 Key features:

• Real-time monitoring
• Actionable insights
• Sentiment score

💪 Pros:

• Tracks reviews, surveys, and social sentiment.
• Real-time alerts about negative brand mentions and sentiment changes.

🔻 Cons:

• Performance can lag with large datasets.

11 SentiSum

SentiSum is one of the most interesting AI sentiment analysis tools designed to extract in-depth insights from both positive and negative feedback.

The platform goes beyond a basic sentiment analysis.

It enables you to integrate it with your existing customer support system and analyzes customer interactions from various channels, like emails, chats, phone calls, surveys, and reviews.

SentiSum automatically assigns relevant tags to each conversation by discovering the reason for contact, the customer issue, and the sentiment analysis.

The platform has recently evolved into an AI-native Voice of Customer (VoC) platform, with a new AI engine called Kyo powering its analysis.

🔑 Key features:

• Multi-channel data collection
• Automated tagging
• Over 100 languages supported

💪 Pros:

• Integrates with customer support systems.
• Auto-tags topics and reasons for contact.

🔻 Cons:

• Tailored more to support analytics than marketing.

Free sentiment analysis tools

12 SentiStrength

SentiStrength is different than many sentiment analysis tools. It’s a downloadable software program primarily for Windows (but works with Crossover on Mac, Linux, and Android).

SentiStrength provides automatic sentiment analysis of up to 16,000 social web texts per second, with human-level accuracy for English.

It is based on two sentiment scores: -1 (not negative) to -5 (extremely negative) and 1(not positive) to 5 (extremely positive)

SentiStrength uses two scores because psychological research has shown that people process positive and negative sentiments in parallel.

As the tool maker says, keep in mind the results are not always accurate.

It’s because they are guesses using a set of rules to identify words and language patterns usually associated with the sentiment.

The software is also available on GitHub, which makes it easier to access if the main website is down.

🔑 Key features:

• One of very few free sentiment analysis tools
• Downloadable
• Open-source and paid API

Conclusion

Sentiment analysis tools are powerful solutions for understanding how people feel about your brand online.

There are many sentiment-centered platforms on the market. Each offers a unique set of features for analyzing feedback and driving important decisions.

When choosing the right sentiment analysis tool, consider what you expect, what features are most important for your specific needs, and what data sources you want to track.

If you care about your online reputation, you should seriously invest in one.

Thankfully, most tools offer free trials that allow you to test their powers in practice!

Final thoughts:

• Don’t be afraid to experiment with trials – the best sentiment analysis tool depends on your specific needs, from social media focus to real-time crisis monitoring.
• Look for AI-powered features that go beyond basic sentiment to uncover themes and trends in customer feedback, giving you a better understanding of your brand perception.
• Remember, sentiment analysis is just one piece of the puzzle. Use these insights to refine marketing strategies, improve customer service, and ultimately build stronger brand loyalty.

FAQ

What are sentiment analysis tools?

Sentiment analysis tools collect all publicly available mentions that contain your predefined keyword and analyze the emotions behind these messages.

As for technical aspects, sentiment analysis tools do this thorough text analysis using machine learning and natural language processing.

It implies that the more online mentions are analyzed, the more accurate the results will be.

What are the applications of sentiment analytics tools?

The insights gained from sentiment analysis are a wealth of information for your customer service teams, product development, or marketing.

Here’s how your brand can benefit from sentiment analysis:

1. Detect shifts in public perception in real time and respond quickly to avoid a PR crisis.
2. Understand how customers feel about products, services, or support interactions to optimize the customer journey.
3. Spot trending topics to stay ahead of the curve.
4. Enhance marketing strategies based on audience feedback.
5. Measure how marketing campaigns or product launches are being received emotionally by the audience.
6. Compare sentiment trends to see how your brand stacks up against industry rivals.

💡As experts say:

What are the most important features of a great sentiment analysis tool? 

To be honest, defining the most important features of a sentiment analytics software resembles choosing a lunch in an Italian restaurant. It depends on your needs and tastes you’re looking for.

But just like pasta and tomatoes are the basis for most dishes in Italian cuisine, there are features that are common for the best sentiment analysis tools:

• Tracking as many sources as possible – social media, review sites, websites, newsletters, etc.;
• Real-time mentions monitoring – to keep you updated and allow you to react quickly to a potential brand reputation crisis;
• AI features – to streamline your sentiment analysis efforts;
• Thematic analysis and trend identification – to have a broader picture of the environment your brand exists in;
• Multilingual support – as many brands expose also to global markets;
• Influencers identification – because some voices online are stronger and impact your sentiment analysis more significantly;
• Customizable reporting – to analyze your sentiment in detail and present the results to stakeholders.