The 15 Best AI Sentiment Analysis Tools [Tested in 2024]

In just 30 days, Rihanna received over 10,000 positive online mentions, reaching around 167 million people worldwide! This is an awesome example of the valuable insights you can gain from sentiment analysis tools and a great motivation for using them. Sure, you can’t compare with Rihanna regarding music – she’s the undisputed queen in that field. But you could surpass her in terms of sentiment. Challenge accepted?

Sentiment analysis tools are software solutions that analyze textual data to discover the emotional tone behind words. They help brands automate the process of understanding their audiences’ feelings & opinions, and streamline building an online brand reputation.

What are sentiment analysis tools?

Sentiment analysis tools are specialized software designed to understand text data on a much deeper level.

They 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.

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

Now, I’ll guide you through some of the best sentiment analysis tools.

Are you ready to shine bright like a diamond?

Top 15 Sentiment Analysis Tools:

1. Brand24
2. Qualtrics
3. Sprout Social
4. OpenText
5. Semantria
6. Meltwater
7. Dialpad
8. MonkeyLearn
9. Sentigem
10. SentiStrength
11. Reputation.com
12. Mentionlytics
13. Hootsuite
14. SentiSum
15. Medallia

01 Brand24

Let’s start our list with Brand24!

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

The tool offers intuitive and advanced sentiment analysis boosted by the power of artificial intelligence.

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

Well:

• Social media platforms, including Facebook, Instagram, TikTok, X (Twitter), YouTube, LinkedIn, Reddit, Telegram and Twitch;
• News sites, blogs, video platforms, podcasts, and other websites;
• Review platforms and newsletters.

Pretty much, don’t you think?

Moreover, Brand24 collects all mentions in real time and offers excellent media monitoring analytics. Taken together, these elements make Brand24 one of the best sentiment analysis tools available.

Ok, enough theory! I’ll show you Brand24’s capabilities in practice.

Since I promised you in the title that you’ll “shine bright like a diamond”, let’s do a sentiment analysis for the lady singing these words – Rihanna!

First, we’ll take a look at the overall sentiment toward RiRi.

The Brand24’s Mentions tab allows you to see the Sentiment chart. The green line indicates the positive sentiment, while the red is the negative sentiment. The neutrals are excluded from the chart.

Obviously, in the measured period (30 days), favorable online mentions appear much more frequently.

If you visit the Analysis tab, you can get more details.

It turns out that 81.7% of mentions were positive and only 18.3% – negative (excluding neutrals). Great ratio, RiRi!

Most sentiment analysis tools stop over here. They can detect only negative, positive, and neutral sentiments.

But Brand24 is different.

Thanks to advanced sentiment analysis based on natural language processing (NLP), Brand24 can detect more specific emotions.

Precisely, the tool’s AI detects six feelings: admiration, anger, disgust, fear, joy, and sadness. You can check them in the AI Emotion Analysis tab.

The most popular emotional tone expressed when people talk about Rihanna online is admiration. No surprise at all!

Next, you can explore the AI Topic Analysis to discover the most popular themes people discuss when talking about your brand.

Each topic includes a short description of a cluster, the volume of mentions on that matter, their reach, share of voice, and a sentiment share.

You can click “More stats” for a more detailed overview of a particular topic.

As you can see, in June 2024, Rihanna’s fans were interested in her personal life, music, and the artist’s new Fenty Hair product line.

Speaking about AI features, I’d like to briefly show you my favorite Brand24 feature – the AI Anomaly Detector.

It helps you understand what caused the sudden sentiment changes.

AI Anomaly Detector is your personal 24/7 guard. In short, it constantly watches your project to discover any anomaly that could impact your reputation and sentiment.

For example, suppose you suddenly receive significantly more brand mentions than usual.

In that case, the Anomaly Detector will notice it, search the web for the most likely reason, and present its findings in one or two key sentences.

To see your anomalies, you must go to the Mentions tab and take a look at your Volume & Reach chart. When you spot an exclamation mark, just click on it. Because that’s the anomaly!

Imagine having a personal assistant who knows everything about your brand’s sentiment, performance, competition, and audience. Cool, right?

That assistant exists! Meet AI Brand Assistant, one of Brand24’s most exciting features.

In short, 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 project’s data.

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

Ok, I could talk about Brand24’s sentiment analysis features over and over again.

But I don’t want to get you bored, and we must move on to other tools!

So, check Brand24 features by yourself.

Key features:

• Real-time sentiment analysis
• AI Emotion Analysis
• AI Brand Assistant
• Social and non-social mentions volume
• Social and non-social mentions reach
• Influencer Score
• AI Anomaly Detector
• AI Topics Analysis
• AI Intents Analysis
• Storm Alerts
• Context analysis
• Reputation Score

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 the key strengths of Qualtrics 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.

Additionaly, 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 company, Qualtrics is probably too complex and expensive.

Key features:

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

03 Sprout Social

Sprout Social is an all-in-one social media management platform designed to help brands manage their social media presence with just one tool.

Namely, Sprout Social allows you to plan, organize, and schedule social media posts on 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 make a detailed emotion analysis and assess if 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 increase the accuracy of analyzing sentiment.

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

Key features:

• Sentiment research
• Trend identification
• Sentiment Reclassification

04 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 crucial feature regarding sentiment analysis is called 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 Magellan Text Mining
• Cross-document analysis for deep-down content understanding
• Multilingual sentiment analysis processing in nearly 40 languages

05 Semantria

Semantria is a text analytics and sentiment analysis API that extracts valuable data using natural language processing and machine learning algorithms.

It provides tools to analyze customer feedback and social media content, as well as identify sentiments, themes, and trends.

Semantria’s sentiment analysis capabilities allow users to quickly discover the emotional tone of large volumes of text, making it easier to understand public opinion and customer satisfaction.

However, a potential downside of Semantria is that it can be complex to set up and integrate if you lack technical expertise. Besides, its Excel-styled interface is far from user-friendly.

Key features:

• Customizable Categorization and Named Entity Extraction tools
• Entity recognition
• Multilingual sentiment analysis with over 30 languages supported

06 Meltwater

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

It offers a significant number of social media monitoring and competitive analysis features that, combined, provide useful insights into the brand reputation, existing 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 determine whether brand mentions are 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

07 Dialpad

Dialpad is a slightly different sentiment analysis software than 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

08 MonkeyLearn

In short, MonkeyLearn is a text analysis tool offering handy sentiment analysis.

It uses machine learning to analyze text data from customer feedback, social media posts, survey responses, and other sources.

What’s great about MonkeyLearn is its no-code setup, which makes the tool a very handy solution for small and medium-sized brands.

The platform allows users to analyze sentiment by categorizing it as positive, neutral, or negative.

Additionally, MonkeyLearn provides customizable sentiment analysis models and real-time data processing for detailed emotion analysis.

Key features

• Open-source API
• Third-party integrations
• Reporting & statistics

09 Sentigem

Sentigem is a very straightforward and free sentiment analysis tool working in a browser.

You simply visit the Sentigem websites, paste a block of text that you want to inspect, click Analyze, and wham, bam, you’re done! The sentiment behind the mention is there!

The tool’s creators are proud of the speed with which Sentigem analyzes content, and I can vouch for it—I pasted huge chunks of text into the tool and got the results in real-time!

Moreover, Sentigem offers a sentiment analysis API Key to implement.

Unfortunately, the tool is an English-only service.

Key features:

• Quick sentiment analysis
• API Key

10 SentiStrength

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

SentiStrength provides automatic sentiment analysis of up to 16,000 social web texts per second with up to 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 psychology research has revealed that people process positive or 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.

Key features:

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

11 Reputation.com

As its name suggests, Reputation.com is a tool focusing on improving your brand awareness.

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

Reputation.com’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, natural, positive).

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

Key features:

• Real-time monitoring
• Actionable insights
• Sentiment score

12 Mentionlytics

It’s time to introduce you to the number twelve on our sentiment analysis tools list – Mentionlytics.

In short, 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, and X (Twitter).

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.

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
• Email alerts

13 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.

The sentiment analysis tool provided by Hootsuite 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.

Key features:

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

14 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 itself 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.

Key features:

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

15 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

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

To be honest, defining the most important features of a sentiment analysis tool 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 platforms, 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.

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.

Want to check the best sentiment analysis tool? Try Brand24!