Sentiment analysis tools use AI and natural language processing to examine data to determine whether it is positive, negative, or neutral. Many brand mention tools incorporate sentiment analysis. These notify firms when somebody refers to a selected brand online and the sentiment behind the mention.
They often enable brands to be proactive, reacting to negative comments before snowballing and becoming significant problems. Sentiment analysis is sometimes known as opinion mining, as it "mines" your stakeholders' opinions to determine their real feelings.
Nowadays, people have considerably more opportunities to vent their feelings online. Although negative sentiment handled poorly can severely harm a brand, at least it gives the opportunity to discover how your customers truly feel about your product or service. While you could survey your customers to establish their feelings about your brand, this process can be time-consuming and challenging.
Often, only people with extreme views (positive or negative) will make an effort to fill out a survey. Sentiment analysis tools can automatically do much of the work for you. In particular, you can use them to capture the views of those people who might opt out of a more formal customer survey.
If you search, you are likely to find a considerable amount of data online about your business. Your brand name may appear in news stories, social media comments, blog posts, forums, reviews, and other forms of online media. You might also appear in images and even videos. But mentions alone are of little importance. Instead, it is the quality of the mention where you should place your focus. Are your brand mentions positive, negative, or neutral? What do your customers think of you?
Can you stop any company crisis before the effects become too widespread?
In this post, we look at some of the best sentiment analysis tools that will help simplify the process of finding and understanding mentions for you.
Best Sentiment Analysis Tools In the Market Today:
1. Brandwatch Consumer Intelligence
Brandwatch Consumer Research gives access to deep consumer insights from 100 million online sources and over 1.4 trillion posts. This figure increases by 496 million posts every day.
Brandwatch employs a rules-based process to better understand the ways context can affect sentiment. It takes all the words and phrases that imply positive or negative sentiment and applies rules that consider how context might affect the tone of the content. Carefully crafted rules help the software know phrases that are positive versus those that are negative. Users can redefine sentiment if they believe that it has been wrongfully categorized.
2. Talkwalker
Talkwalker’s AI-powered sentiment analysis uses natural language processing (NLP) to classify conversations as positive, negative, or neutral while analyzing large volumes of online content.
Where the tool stands out is its multilingual capability. It supports sentiment analysis across 187 languages, making it particularly valuable for international brands, PR teams, and organizations monitoring reputation across regions. The platform goes beyond simple sentiment scoring by attempting to identify contextual nuances, including certain forms of irony and sarcasm.
Read More3. Brand24
Brand24 uses AI-powered sentiment analysis to help brands understand how people feel about them, their products, campaigns, and competitors. It automatically classifies collected mentions as positive, neutral, or negative, allowing teams to assess public perception without reviewing every conversation manually.
The platform analyzes mentions from social media, news sites, blogs, forums, reviews, podcasts, newsletters, and videos. Its multilingual capabilities make it suitable for organizations tracking conversations across different markets. Brand24 supports language detection across 108 languages and can analyze sentiment without requiring teams to translate every mention first.
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4. Spikerz
Most sentiment analysis tools start from the marketing question—“Is the conversation about us positive or negative?” Spikerz starts from a harsher reality: on social, sentiment often arrives wrapped in hate speech, scams, and coordinated harassment. Its core strength as a sentiment tool is that it treats tone, intent, and risk as one continuous problem, not three separate dashboards.
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5. Hootsuite
While Hootsuite is probably best known for its social media publishing platform, it offers several specialist social solutions, mainly targeting enterprises. One of these is Hootsuite Insights. This allows you to build intelligence into your brand strategy with social listening. Brandwatch powers Hootsuite’s tool.
Hootsuite Insight provides instant analysis of millions of real-time conversations happening online. Find out what your customers are doing, feeling, and thinking when it comes to your brand. You can set alerts, meaning Hootsuite will notify you instantly whenever there are unusual spikes in volume or brand sentiment. You can measure risks and opportunities as you track brand sentiment in real-time.
6. Keyhole
Keyhole is a tool for agencies and enterprises covering campaign monitoring, influencer marketing, brand monitoring, event monitoring, and market research. Part of this wide range of features includes sentiment analysis. It appears on the Dashboard of your Hashtag & Keyword Tracker. It calculates a sentiment score based on positive and negative posts: Sentiment Score = Positive / (Positive + Negative).
You can filter by sentiment (using a five-point scale of emoji) in the Posts tab. You can also edit that level of sentiment if you believe it necessary. For example, Keyhole acknowledges that its Machine Learning algorithm for Sentiment is still learning to detect sarcasm and industry-specific sentiment.
7. Private: Mention
Mention offers real-time monitoring, along with competitive analysis, social media management, custom insights, and automated reports. In addition, it can be helpful for damage control, so you discover simmers of discontent before they become raging fires.
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8. Social Mention
Social Mention is a social media search and analysis platform that aggregates user-generated content into a single stream of information. You can easily track and measure what people say about you, your company, a new product, or any topic across the web’s social media landscape in real-time. Social Mention monitors 100+ social media properties directly, including Twitter, Facebook, FriendFeed, YouTube, Digg, and Google.
It focuses on four crucial factors:
Read More9. MonkeyLearn
You can use MonkeyLearn to train custom machine learning models to get topic, sentiment, intent, keywords, and more. It has tools that target support teams, product and CX teams, and developers. MonkeyLearn offers models that you can use to analyze your text. Models can be used for categorizing text or extracting pieces of information, and you can combine them for complex processes. Sentiment analysis is one of the models.
There is a general Sentiment Analysis model that classifies texts in English. You can use it for all kinds of text.
Read More10. Repustate
You can use Repustate to find insights in your surveys, social media, videos, podcasts, text documents, news, and product reviews. Their AI-powered API automates the manual task of extracting insights from unstructured data using semantic technology, helping you improve workflow and efficiency. You can use these insights to deeply understand the feelings and motivations of your customers.
You can also use Repustate internally to measure the perception of your organization and employee engagement, using their language analysis technology, and improve top talent retention, acquisition, and overall productivity. Their Sentiment Analysis API highlights emotion and intention hidden in language and data, providing tangible results and actionable insights.
11. Social Searcher
Social Searcher is a free social media search engine where you can input mentions, users, or trends, for a real-time search. The results show you mentions, users, and a sentiment level. In addition, you can look at more detailed sentiment results that indicate the ratio of positive to negative mentions on various social platforms. It also links to a selection of popular positive posts, popular negative posts, and popular neutral posts on your selected search term.
Read More12. Critical Mention
Critical Mention focuses on media monitoring and analysis. You can use it to track, analyze, and share your earned media coverage. It differs from many of these other tools focusing on earned media mentions rather than social media (although it does include some social media analysis). Its primary focus is monitoring TV and radio, online news, podcasts, and licensed content (paywalled and print sources).
Critical Mention helps you understand the context of your earned media coverage with sentiment analysis, indicating whether each mention is negative, neutral, or positive. This analysis applies as much to broadcast content as to print and online material. You can pull metrics like share of voice, sentiment, and publicity value.
13. Lexalytics
Lexalytics focuses more on sentiment analysis and less on brand mentions than many other tools included here. The Lexalytics Intelligence Platform targets businesses that process high volumes of text data (30,000+ docs/month), need on-premise security; to run the system behind your firewall, or want deep access to tune and configure your text analytics.
It recognizes that sentiment analysis is vital for social media monitoring (SMM). Lexalytics uses natural language processing (NLP) and machine learning to transform mountains of hashtags, slang, and poor grammar into structured data and valuable insights. The platform analyzes social text data to understand the conversations surrounding products, brands, people, and services.
14. Sentiment Analyzer
Sentiment Analyzer is a free tool that allows you to conduct sentiment analysis on virtually any text written in English. The system computes a sentiment score that reflects your input text’s overall sentiment, tone, or emotional feeling. Sentiment scores range from -100 to +100, where -100 indicates a very negative or serious tone and +100 indicates a very positive or enthusiastic manner.
While this is a much simpler tool than the full brand analysis platforms, it is free and easy to use. You paste your selected text into a box on the page, and the software performs its calculations, then gives an interpretation.
15. Rosette
Rosette is an adaptable platform for text analytics and discovery. It has many AI-based linguistic capabilities and can efficiently analyze documents in more than 30 languages.
One of its specialized tools is a sentiment analyzer. You can use it to detect emotional hotspots in text about companies, people, and products. It has trained its machine learning models on tweets and reviews to detect strong positive and negative sentiment in a document overall and toward specific entities. Rosette applies entity extraction to identify products and determines the sentiment for each one by relating the sentiment expressed in a review to each product.
Read More16. Meaning Cloud
Meaning Cloud offers multilingual text analytics – from news headlines and social media to video subtitles and call transcriptions. One of its tools carries out sentiment analysis. Automatic sentiment analysis allows you to process high volumes of data with minimum delay, high accuracy and consistency, and low cost, which complements human analysis.
Their Sentiment Analysis API performs detailed, multilingual sentiment analysis on information from different sources. It analyzes selected text to determine if it expresses a positive, neutral, or negative sentiment (or if it is impossible to detect). It identifies individual phrases and evaluates the relationship between them. This results in a global polarity value of the text as a whole.
17. Clarabridge
You can use Clarabridge to connect to all digital channels: Facebook, Twitter, Instagram, WhatsApp, SMS, WeChat, email, forums, blogs, and more. It analyzes this content, giving you real-time insights and understanding into customer effort, emotion, cries for help and queries using a best-in-class text analytics engine.
You can use Clarabridge Engage to automatically identify topics of social conversations and route mentions to the right agent at the right time.
Read More18. Awario
Awario is a brand mentions tool that searches for mentions of your brand across Twitter, Facebook, Reddit, YouTube, Instagram, blogs, forums, news, and the web. Awario crawls over 13 billion web pages daily, in addition to the APIs.
It incorporates sentiment analysis, which you can use to measure the tone of your mentions. Mention Statistics graphs the growth of neutral, positive, and negative sentiment. You can also watch social media sentiment on your Dashboard in real-time. Another practical use case for sentiment analysis on Awario is to create an alert to monitor your competitors’ brand sentiment on social media. Then, you can create a sentiment analysis report that compares your brand to your competitors’.
19. OpenText
OpenText provides various tools to assist large businesses and enterprises with their information management, product and solutions, cloud management, and more. One of their AI and analytics tools is Magellan Text Mining. This enables you to make sense of text, millions of pages at a time. You can use it to analyze your unstructured text data, billions of pages of textual content and imagery from internal documents, emails, social media, web pages, and more. Its powerful algorithms analyze that content to determine what a given piece of text is about and assess its relevance.
Read More20. ParallelDots
ParallelDots focuses on retail image recognition and text analysis. One of its solutions for retailers is SmartReader, an Excel-based SaaS solution. It automatically analyzes open-ended customer responses using artificial intelligence and classifies them into positive, neutral, or negative, based on the sentiment behind them.
SmartReader displays its insights in an interactive dashboard, and you can also download them in .csv format.
21. Hitech BPO
Hitech BPO offers a range of data collection, data processing, data cleansing, data analytics, and sentiment analysis services. It includes opinion mining, text mining, social listening, and social sentiment as part of its sentiment analysis.
The company combines natural language processing (NLP) and machine learning algorithms to perform sentiment analysis and extract meaning from product and service reviews in the form of text, speech, emoji, images, visuals, etc. They glean insights from feedback expressed as tweets, Facebook posts, comments in blogs or forums, and emails around brands, markets, employers, and more. You can extract, identify and characterize sentiments to set customers’ moods right, and enhance your brand value.
22. Sentigem
Sentigem is a platform that offers an easy-to-use sentiment analysis tool for English language-based documents or text blocks. It is free and straightforward to use. You paste the block of text you want to analyze into a box on the Sentigem page and click on Analyze. The software then tells you the overall sentiment and splits the text into sections, showing the sentiment: positive, negative, and neutral.
Sentigem suggests some typical use cases for their product. These include price movement predictions in the financial markets, reputation and brand management, product marketing and purchase planning, and entity polling.
23. SentiStrength
SentiStrength provides automatic sentiment analysis of up to 16,000 social web texts per second with up to human-level accuracy for English. It estimates the strength of positive and negative sentiment in short texts, even for informal language. It reports two sentiment strengths: -1 (not negative) to -5 (extremely negative), 1 (not positive) to 5 (extremely positive).
SentiStrength is free for academic research. A commercial license for SentiStrength is available for other uses.
24. NCSU Tweet Sentiment Visualization App
NCSU Tweet Sentiment Visualization App is an online solution that helps small businesses capture, map, and analyze Twitter data. Marketing teams can comprehend and visualize user sentiments across tweets through heat maps, topic clusters, narrative threads, affinities, and more. Businesses search specific keywords to automatically pull data on recent tweets from the previous week, visualize individual tweets in circles and analyze sentiments based on color, brightness, size, and transparency assigned to each post. Users can segment posts’ sentiments into four categories: relaxed, happy, unhappy, and upset.
25. RapidMiner
RapidMiner provides a data science platform to deliver transformational business impact. This includes text mining, where you can use insights from unstructured data to improve marketing, product development, risk management, and more. Online reviews, social media chatter, call center transcriptions, claims forms, research journals, patent filings, and many other sources all become rich resources that you can tap through data science to advance your business and organizational mission.
You can use RapidMiner’s sentiment analysis to glean attitudes towards your brands, products, and services from what people are saying about you on social media and elsewhere. As a result, you can target your communications to adjust perceptions.
Frequently Asked Questions
What free tool can be used to measure sentiment?
One of the best free tools to measure sentiment is Social Searcher. This social media monitoring platform includes a free sentiment analysis tool for users.
How good is sentiment analysis?
Sentiment analysis is an important tool for market research, brand monitoring and product reputation monitoring as well as customer experience analysis. Sentiment analysis tools can be used for analysis as well as predictions.
How do you do a brand sentiment analysis?
Brand sentiment analysis is the best way to determine the general attitude toward your brand, product, or service. The easiest way to do this, nowadays, is through social media monitoring tools and sentiment analysis tools.
What is AI sentiment analysis?
AI sentiment analysis is also known as opinion mining or emotion AI. These AI sentiment analysis tools can use natural language processing, text analysis, computational linguistics, and biometrics to identify, quantify, and study subjective information.
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