Finding the right sentiment analysis tool might sometimes feel like finding a needle in the hay. There are so many tools out there, and trying all of them would take ages.
That’s why we did it for you. Tried, compared, and checked the most popular tools and in this article, you’ll find our top picks!
Let’s find the best one for you!
Table of Contents
What is a Sentiment Analysis Tool?
A sentiment analysis tool is a solution that helps you detect the feelings behind every mention of your brand on the internet.
What do your potential or existing customers feel about your brand? Are they satisfied with your products or services? These sentiment-tracking tools can help you feel the pulse of your audience.
They track customers’ feedback on social media and the web even when your brand is not tagged or linked to. Sentiment analysis software can spot negative reviews that might harm your brand reputation and analyze overall sentiment to make business decisions based on relevant data.
Without tools, this process would take ages, and you would never be able to get an overall picture of how people perceive your brand.
Sentiment analytics tools most often use a combination of methods (such as natural language processing and machine learning) and are able to detect relevant keywords in seconds. They do the text analysis by sorting all the brand mentions (including those where your brand is not tagged) into three categories: negative, neutral, and positive sentiment.
The beauty of using these tools is that you can react promptly, participate in conversations, spot people talking positively about your brand and turn them into advocates, or just keep an eye on your competitors to see how they are doing on social media platforms — Yes, you can do that as well!
Techniques Used in Sentiment Analysis
You’re probably thinking: “How is it possible for a tool to do that, and are they even accurate?” The answer to your questions is Yes, it is possible, and they are accurate (some more and some less, depending on the techniques they use).
Speaking of techniques, there are five most common techniques social media sentiment analysis tools use:
Machine-learning (ML) technique
In this technique, tools’ algorithms are trained to recognize sentiment using large amounts of already classified data to identify patterns and classify text into positive, negative, or neutral emotions.
Lexicon-based (LB) technique
This technique (the subset of the rule-based sentiment analysis method) relies on predefined dictionaries (lists of words or phrases) already classified into three categories (positive, neutral, and negative). This model often lacks the ability to recognize sarcasm.
Hybrid technique
This technique combines the strengths of both machine learning and lexicon-based approaches. It uses predefined dictionaries (like the lexicon-based method) alongside machine-learning algorithms to improve accuracy. The result? A tool that can understand emotions more flexibly while still relying on the stability of word lists. This approach works great for capturing subtle meanings and improving precision.
Contextual (Deep learning) technique
Think of this as the advanced version of machine learning — a method that trains tools to “think” more like humans. Deep learning uses super-smart algorithms like neural networks to analyze words and the context around them. It can even detect tricky stuff like sarcasm or irony. It’s like teaching a robot to read between the lines.
Aspect-based technique
Imagine reading a restaurant review where someone says, “The food was amazing, but the service was terrible.” Instead of treating the whole review as positive or negative, this technique breaks it down. It identifies specific topics (like “food” and “service”) and figures out the sentiment for each one. It’s perfect for understanding detailed feedback.
Now that you know what these tools can do, let’s check out the best sentiment analysis tools for 2026!
Sneak Peek: Top Sentiment Analysis Software Comparison
Here we compare 8 top-rated sentiment analysis software with great reviews that offer real-time tracking and a free trial (not all of them, though) to test which one suits your needs.
Take a look and scroll down for the full analysis and our assessment!
| Product | Best Known For | Best For | Pricing | Accuracy |
|---|---|---|---|---|
| Mentionlytics | Real-time social listening with powerful AI features | SMBs, agencies, and companies of any size | From $69/month; free trial available | More than 96% accuracy in sentiment analysis, across all languages |
| Medallia | Enterprise CX management with predictive analytics | Large enterprises | Pricing upon request | Precision and recall consistently above 85% |
| Lexalytics | Text analytics and NLP with entity and intent recognition | Companies tackling complex text analytics challenges | Pricing upon request | 70.5% – 81.5% accuracy |
| Sentisum | AI-native Voice of Customer (VOC) with real-time speech and feedback analytics | Teams needing advanced customer sentiment insights | Pricing upon request | They don’t publish fixed accuracy metrics |
| Brandwatch | Global social listening with Iris AI for fast insights | Brands focusing on social media engagement | Pricing upon request | 60% – 75% accuracy for 40+ languages; for others accuracy is not guaranteed |
| Sprout Social | End-to-end social media management with AI-powered caption and alt-text suggestions | Social media management for various organizations | From $199/month/seat; annual plans; free trial available | 70% – 85% accuracy |
| Talkwalker | Advanced social media monitoring with visual, video, and audio listening | Brands seeking advanced social media analytics | Pricing upon request | Up to 90% accuracy across 186 languages |
| Chattermill | Customer experience analytics with anomaly and trend detection | CX and VoC leaders in large enterprises | Custom pricing based on enterprise needs | Above 80% accuracy |
Best 8 Sentiment Analysis Tools Reviewed
We’ve chosen the best sentiment analytics software solution and highlighted its standout features, representative customer reviews, and pricing.
Whether you’re looking to analyze customer feedback, monitor social media sentiment, or improve your brand reputation, this list has you covered. Let’s dive into the details!
1. Mentionlytics
Your AI-powered sentiment analysis sidekick: multilingual, multifunctional, and always ready to track what the world is saying about your brand.
Mentionlytics is an AI social listening platform that combines advanced techniques to detect and classify sentiment and emotions of mentions from all major social channels like X, LinkedIn, Facebook, Instagram, Reddit, YouTube, and more, along with reviewing platforms and across the web. It’s easy to use and provides comprehensive, downloadable reports.
Sentiment & Emotion Analysis in Mentionlytics’ Reports
You insert the keywords you want to track, and Mentionlytics does everything else.
It analyzes social media posts and website references to determine the sentiment behind every mention of your brand. The best part is that it can track keywords and analyze customer sentiment in several different languages (49, to be precise), which is ideal for international brands!
Our Highlight
With the completely new approach deploying sophisticated AI algorithms, sentiment, and emotion analysis have evolved in Mentionlytics! Now it’s more contextual, targeted, comprehensive in comments, detecting irony, and with more than 96% accuracy, based on user feedback!
This makes Mentionlytics the perfect choice when choosing sentiment mining tools for your business.
Social Intelligence Advisor (SIA) – Mentionlytics dashboard
But we couldn’t skip SIA — the Social Intelligence Advisor, which gives you personalized advice based on your social listening data. SIA uses sentiment analysis to detect trolls and spikes in negative mentions to protect you from social media backlashes and other brand crises.
From Real Customer Reviews
Positive: “Mentionlytics brings much more results than other social media monitoring tools I have tested; it’s very easy to use, and customer support is awesome.”
Negative: “Only that the mobile app doesn’t provide the same capabilities as the desktop application. E.g. I couldn’t add a new keyword from my mobile app, I had to open it in a browser.”
Source: Capterra
Pricing
The basic plan starts at $58 ($41 if you catch the time-limited offer) per month billed annually, but you can have a 14-day free trial to test the accuracy of Mentionlytics’ sentiment analysis (you’ll be surprised!)
2. Medallia
Exceptional for large-scale businesses handling feedback across diverse customer touchpoints.
Medallia is an enterprise-level text sentiment analyzer tool that turns customer feedback into actionable insights by leveraging advanced sentiment analysis.
Its sentiment analysis capabilities are part of its text analytics platform, designed for large-scale businesses that collect vast amounts of customer feedback from multiple sources, including surveys, emails, social media, and reviews.
By using AI and natural language processing (NLP), Medallia identifies sentiment trends and detects emerging issues, allowing businesses to take action quickly. Its ability to handle multilingual data makes it especially valuable for global companies.
Our Highlight
Medallia’s real-time sentiment insights stand out. They allow businesses to react instantly to customer concerns and capitalize on positive feedback trends.
From Real Customer Reviews
Positive: “Medallia’s strongest suite is its ability to do sentiment analysis by social media listening and ingesting customer data through channels such as surveys. The insights provided are very detailed and help in understanding brand and product-related conversations that the customers have in online forums.”
Negative: “They need to improve third-party integrations, especially to other BI and CDP platforms. The pricing can also be improved.”
Source: G2
Pricing
Medallia’s pricing is customized based on business size and needs.
3. Lexalytics
Industry-leading multilingual capabilities and customizable analytics for niche use cases.
Lexalytics is ideal for businesses looking to analyze large volumes of text data, such as customer reviews, social media posts, and survey responses. It offers three different products: Salience, Semantria, and Spotlight.
The platform uses advanced natural language processing (NLP) to identify sentiment, categorize topics, and extract key themes, even in complex or jargon-heavy text. Lexalytics also offers customizable solutions for specific industries, making it a versatile choice for brands seeking tailored insights.
Our Highlight
Businesses operating globally will find its multilingual function very practical. It supports 30 languages, covering over 60% of the world’s population.
From Real Customer Reviews
Positive: “Can handle large amount of data. Visually appealing, generates charts and graphs for better consumption and understanding. Good support team. No setup fee required.”
Negative: “Integration with other software is a bit tricky and time consuming. Processing time is more in case of large datasets. More hand on training required to understand and learn all the features.”
Source: Gartner
Pricing
Lexalytics doesn’t have the prices on their website, and you’ll need to contact them for the info.
4. Sentisum
Ideal for small businesses wanting quick insights without the complexity of enterprise solutions.
SentiSum specializes in analyzing customer support interactions, such as tickets, chats, and emails, to extract sentiment and identify common issues. By integrating with platforms like Zendesk and Freshdesk, it automatically tags and categorizes conversations, providing support teams with real-time insights into customer emotions and pain points.
This enables businesses to prioritize responses, streamline workflows, and proactively address recurring problems, ultimately improving the overall customer experience.
Our Highlight
SentiSum’s voice analysis feature goes beyond text. It analyzes sentiment and the tone of spoken customer interactions. This is especially valuable for support teams handling voice calls, allowing them to detect emotions like frustration or satisfaction in real-time and respond more effectively.
From Real Customer Reviews
Positive: “Automatic sentiment sorting saves a lot of time compared to doing it manually. It allows you to see at a glance what areas are doing well and what needs to be improved. This lets you see patterns and pain points which can then be identified from reading the comments of users who are all share similar sentiments.”
Negative: “It still requires some manual input as the AI is not 100% accurate. Although it is getting better, you can also predict for yourself what kind of comments may need your attention, such as comments with multiple/mixed sentiments.”
Source: G2
Pricing
The Growth plan starts at $1,000 per month.
5. Brandwatch
Best for monitoring public opinion on a large scale, especially for competitive analysis.
Brandwatch is a comprehensive social listening tool that tracks brand sentiment across social media, blogs, forums, and news outlets. It uses AI-driven analytics to classify online conversations into positive, negative, and neutral sentiments, helping businesses monitor brand reputation and track industry trends.
The platform is especially effective for large-scale data collection, offering visual dashboards, custom reporting, social media sentiment tracking, and competitive benchmarking. With multilingual capabilities, Brandwatch ensures global brands can understand their audiences across different markets.
Our Highlight
Brandwatch’s AI-powered trend detection helps identify emerging issues or viral content early, giving businesses a competitive edge in managing their online presence.
From Real Customer Reviews
Positive: “This platform is very robust and has a lot of great features to suit a full marketing suite. At the same time, it is not ideal for any company that mainly lives on LinkedIn. You may as well use their internal account management tool. But if you need to manage influencers or only need a very simple display of your activity then this is a very user-friendly tool.”
Negative: “We use Brandwatch to manage our social media content distribution and gain insight into our target audience. We faced the challenge of dealing with multiple accounts and not being able to efficiently track our analytics.”
Source: TrustRadius
Pricing
The Essentials plan starts at $800 per month.
6. Sprout Social
Combines sentiment analysis with social scheduling, making it perfect for multitasking marketers.
Sprout Social combines sentiment analysis with social media management, making it a one-stop shop for monitoring, publishing, and engaging with audiences. Its sentiment analysis tools help businesses understand how their brand is perceived online, providing actionable insights from conversations on platforms like X, Instagram, Facebook, and LinkedIn.
The platform’s real-time social sentiment analytics ensure that businesses can spot shifts in sentiment and address customer concerns promptly, while its collaborative features allow teams to manage social interactions efficiently.
Our Highlight
Sprout Social’s seamless integration of sentiment analysis with scheduling and publishing tools makes it ideal for businesses looking to streamline their entire social media workflow.
From Real Customer Reviews
Positive: “I love Sprout Social. I find it very easy to use, intuitive and it has nearly all of the features that I want in a SMM platform. The tagging capabilities are particularly great, plus I love the Smart Inbox and the provided reports. The system is very easy to implement and you can get set up very quickly – plus some platforms you get backfilled data which is great if you’re just starting out. I use Sprout every single day and it makes my life better and easier.”
Negative: “There are a few features missing that I would love to see. One is the ability to send a link along with your IG story that automatically copies to your clipboard so you can include a link in the story. Another is a sentiment analysis report for incoming messages.”
Source: G2
Pricing
The Standard plan starts at $199 per month.
7. Talkwalker
Best for global brands needing high-quality multilingual monitoring.
Talkwalker is a great tool for large-scale social listening and sentiment analysis, which makes it a favorite for global brands. Its AI-driven platform monitors over 150 million sources, including social media, blogs, forums, news outlets, and even TV and radio.
With multilingual capabilities and visual sentiment mapping, Talkwalker is perfect for brands that want to understand customer emotions across diverse markets. Its real-time alerts and trend identification allow businesses to react quickly to changing public sentiment or potential crises.
Our Highlight
Talkwalker’s broad data coverage and multilingual sentiment analysis set it apart, making it ideal for global businesses aiming to stay ahead in competitive markets.
From Real Customer Reviews
Positive: “Talkwalker does a great job of monitoring the web and tracking your brand’s presence.”
Negative: “It’s a pretty expensive solution, not a great option for a business with a small budget.”
Source: G2
Pricing
You have to contact Talkwalker.
8. Chattermill
Perfect for consolidating omnichannel feedback into actionable insights for customer success.
Chattermill focuses on consolidating customer feedback from various channels, such as surveys, reviews, support tickets, and social media, to provide a holistic view of customer sentiment.
By leveraging machine learning, it detects sentiment trends and identifies key drivers of satisfaction or dissatisfaction. Its intuitive dashboards and advanced analytics make it easy for teams to pinpoint actionable insights and prioritize improvements. Chattermill is particularly well-suited for businesses looking to optimize the entire customer journey by aligning sentiment data with specific touchpoints.
Our Highlight
Chattermill’s omnichannel approach to sentiment analysis ensures businesses get a complete picture of customer emotions across all interaction points.
From Real Customer Reviews
Positive: “The insights filter which summarises sentiment and the underlying causes based on its analysis of NPS feedback. It is easy to set up dashboards to see NPS, and you can get quick insights based on filtered results.”
Negative: “The insights feature does not always have great discretion in certain types of causes for sentiment.”
Source: G2
Pricing
You have to contact Chattermill’s team.
Bonus tool: Zonka Feedback
Best for AI-driven sentiment analysis with actionable customer intelligence.
Zonka Feedback is an AI-powered Customer Feedback & Intelligence Platform that analyzes customer sentiment across surveys, reviews, support tickets, and digital touchpoints to uncover what customers truly feel and why.
Its sentiment analysis capabilities go beyond basic positive, neutral, and negative classification. Using AI and natural language processing, Zonka Feedback identifies emotions, intent, urgency, themes, and entities within open-text feedback, helping teams understand the real drivers behind customer satisfaction or dissatisfaction.
By combining sentiment insights with CX metrics like NPS, CSAT, and CES, Zonka Feedback enables businesses to prioritize issues, detect emerging trends, and take timely action through automated workflows and a centralized response inbox.
Our Highlight
Zonka Feedback’s strength lies in linking sentiment analysis directly to action, allowing teams to close the feedback loop faster with alerts, workflows, and case management.
From Real Customer Reviews
Positive: “The sentiment analysis and theme detection make it easy to understand customer feedback at scale. It saves a lot of manual effort and helps focus on what really matters.”
Negative: “Advanced features can take some time to fully explore, especially for first-time users.”
Source: G2
Pricing
Zonka Feedback’s pricing is available on request.
How to Choose the Best Sentiment Analysis Software for You
Choosing the right sentiment analysis tool isn’t just about picking the shiniest option. It’s about finding one that truly understands your audience—even the sarcastic or cryptic ones! Therefore, check the sentiment analysis features of the tools you’re interested in.
Here’s what to keep in mind:
1. Can It Recognize Sarcasm and Irony?
Let’s face it, online conversations are loaded with sarcasm and subtle jabs. Make sure the tool can catch those tricky sentiments, or you might miss out on some big red flags (or golden opportunities).
Escape the Data Curation Grind
Get report-ready data with Mentionlytics’ AI Sentiment Analysis feature that recognizes irony, so you don’t have to go through your mentions and check if people actually mean what they say on social.
2. Real-Time Insights
The faster the tool can analyze mentions, the quicker you can respond. Whether it’s a social media crisis or a viral trend, real-time monitoring ensures you’re always one step ahead.
3. Multilingual Support
If your audience speaks more than one language, your tool should, too. Make sure it can track and understand mentions in the languages that matter to your business.
4. Emotion Depth
Some tools stop at “positive,” “negative,” and “neutral.” Others dive deeper into emotions like frustration, excitement, or even disappointment. The more detailed the emotion analysis, the better.
5. Customizable Reporting
Not every manager or team wants the same type of report. A good tool should let you create reports tailored to your needs, whether that’s a high-level summary or a deep dive into specifics.
6. Coverage Across Channels
What’s the point of AI sentiment analysis if it only monitors one platform? The best tools gather data from social media, forums, blogs, news sites, and more, giving you a full picture of your sentiment score.
7. User-Friendliness
It doesn’t matter how fancy a tool is if it’s impossible to use. Look for a platform that’s intuitive and doesn’t require a tech wizard to set up.
8. Accuracy First
Don’t let flashy features fool you — accuracy is king. Test the tool (most offer a free trial) to ensure it correctly identifies mentions and runs emotion analysis.
9. Scalability
Your needs today might not be the same as next year. Check if the tool can grow with you, especially if you plan to monitor more channels or audiences down the line.
10. Contextual Understanding
Some social listening tools struggle with context, taking words at face value. Make sure yours can pick up on nuances — like “This is great… not!” — to avoid misinterpreting mentions.
11. Customer Support Matters
Even the best tools come with a learning curve. Having a responsive support team can make all the difference when you hit a snag.
Focusing on these features will help you find an AI sentiment analysis tool that doesn’t just analyze emotions—it truly understands your audience.
Try the Best Sentiment Analytics Tool for Free
Welcome to the world where sentiment analysis is no longer a luxury—it’s a must-have if you want to understand your audience, improve your strategy, and stay ahead of the competition.
We’ve explored the top tools to help you uncover valuable insights, track sentiment across platforms, analyze text, and get quality leads.
Now, it’s your turn to see these tools in action. You can start with Mentionlytics. Test its features for free and find out if they fit your needs.
Ready to get started?
FAQ
What is the best sentiment analysis tool?
There isn’t one “best” sentiment analysis tool, as it depends on your specific needs. Top tools for analyzing sentiment include Mentionlytics, Medallia, and Lexalytics. These tools offer various helpful features like multilingual support and emotion detection, catering to different analytical requirements, but you have to define what your needs are to choose the best one for you.
Is sentiment analysis an NLP?
Yes, sentiment analysis is a key part of Natural Language Processing (NLP). It utilizes NLP methods, combined with computer linguistics and text analysis, to identify, extract, measure, and comprehend people’s feelings (such as positive, negative, or neutral) in text data.
Can you do sentiment analysis manually?
You can do sentiment analysis manually in small datasets, but for larger volumes of text data, it’s a time-consuming, impractical, and prone to human error process. It’s better to use an automated tool, like Mentionlytics, that combines AI and NLP techniques to save time and get better results.
