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15 Best Sentiment Analysis Tools

Would you prefer leave it all to the automation specialist, artificial intelligence, or examine consumer sentiment in feedback response by response?

Of course, going with option two is the best move.

Making decisions manually when you can automate them is a crime against your company because it consumes a significant amount of your time and money.

And how can the procedure be automated in the greatest way? – Check out our top sentiment analysis tools.

Finding the ideal answer can be challenging given the wide variety of available tools. In order to be of assistance, we have carefully selected a list of the top sentiment analysis tools, providing you with choices that are appropriate for a range of budgets, usability levels, and features.

What are Tools for Sentiment Analysis?

Tools for sentiment analysis use machine learning and natural language processing to decipher the emotions of the reader in the text.

Simply said, by gathering data from various sources, sentiment analysis technologies assist organizations in comprehending the emotional intent underlying both spoken and written consumer comments.

Businesses from many sectors utilize sentiment analysis to equip their customer service, sales, and marketing teams to deliver a seamless customer experience as a whole.

What is the Process of a Sentiment Analysis Tool?

A sentiment analysis tool monitors replies to surveys, chat support chats, consumer reviews on various online review sites, etc. The sentiment analysis program then examines the information gathered and finds the words that were used in the feedback.

It selects words that express intentions and feelings and presents them to you as a word cloud for analysis. The spectrum of different emotions contained in the examined data is also displayed by a sentiment analysis tool.

In this approach, businesses can comprehend the level of client service they provide and what areas require improvement. Using sentiment analysis, they may distinguish between supporters and detractors in order to make dissatisfied customers happy once more.

What are the Benefits of Sentiment Analysis Tools for You?

Adding anything to your tech stack only makes sense when it helps your company. And we definitely receive that.

So how about we outline the advantages of employing a sentiment analysis instrument for your organization so that you can appreciate its significance?

  • You can use it to compile and present customer feedback from many platforms.
  • Customer feedback is automatically processed, and emotional intentions are given to it.
  • Competitor analysis can help you determine what they are doing incorrectly so you can improve lead generation.
  • Enables you to recognize your devoted customers and add them to your loyalty program.
  • It draws attention to customer pain issues that you might not have anticipated in order to address them.

Your marketing efforts, catchphrases, and social media posts occasionally may not elicit the responses you were hoping for from your target demographic. Utilize a brand sentiment tool to gauge the success of your marketing initiatives.

Let’s get to the meat of our conversation now that the matter is clear.

Also Read: How to Become a Pilate Instructor

The Top 15 Sentiment Analysis Tools

Here is our carefully compiled list of the best sentiment analysis tools to enhance your brand’s reputation and customer experience.

1. Qualaroo

The impressive sentiment analytics component of Qualaroo, a sentiment analysis tool powered by IBM Watson, is well-known. With the help of this sentiment analysis program, you may classify and evaluate the survey’s free-form responses.

Sentiment Analysis Tools


During your feedback mining, you can also tag responses so you can access them later. Qualaroo almost eliminates human labour by fully automating your feedback analysis and mining process.

Let’s go through some of its amazing features in greater detail.

  • Best for: Text analysis, market and user research, testimonial gathering, feedback sentiment analysis, and testimonial gathering.
  • Suitable for: Small- to medium-sized companies
  • Price: Beginning at $69 per month.


  • allows you to design several survey types to gather a variety of qualitative and quantitative data, including NPS, CES, CSAT, Exit-intent, SUS, and more.
    assists in real-time customer service based on personalized CTAs created in accordance with the emotional sentiment scores of the responses.
  • includes a thorough sentiment analysis dashboard that presents data as word clouds, charts, and bars.
  • identifies important words for the main topic in the open-text responses.
  • assists you in classifying responses according to the sentiment score.
  • based on the keywords in the responses, assign responses to the relevant teams.
  • offers connection with a variety of tools, including HubSpot, Zapier, and Salesforce.


  • Data into programs like Tableau, Google Data Studio, and Chartio
  • Modern Targeting
  • Branching and skip logic


  • Does not analyze data from social media

2. HubSpot Service Hub

A well-known tool is HubSpot Service Hub thanks to its various functions, which include sentiment and text analysis. It effectively separates the qualitative data into responses with neutral, negative, and positive intent.

The program provides a thorough dashboard that makes it easy to swiftly examine feedback. Service Hub is simple to integrate with HubSpot’s CRM so you can examine responses from particular contacts.

  • Best for: AI-based market research and sentiment analysis
  • Suitable for: Small- to medium-sized companies
  • Price: $45 per month to start.


  • based on the open-text responses, distinguishes between satisfied and dissatisfied clients.
  • offers many survey formats, such as NPS and CSAT, to help users categorize and quickly assess their comments.
  • integrated with numerous apps, including Salesforce, Qualaroo, Zapier, and more.
  • includes a variety of tools, including a CRM, a marketing hub, a sales hub, an operations hub, etc.


  • Great word clouds
  • Easy to set up
  • Friendly and intuitive UI


  • A slow speed
  • Pricing rises as the number of interactions rises.

3. MonkeyLearn

One of the best readily available internet sentiment analysis tools is MonkeyLearn. Its entire arsenal of text analytics techniques yields precise results.

Thanks to its MonkeyLearn API, this free social media sentiment analysis tool connects seamlessly with your company’s environment, allowing you to create a sentiment analysis model that meets your needs without having to write any code.

Social listening, feedback analysis, and free sentiment analysis are the best uses.

  • For: Medium-sized to large businesses
  • Price: The team plan begins at $299. Free version is offered


  • aids in the non-programming creation of a customized sentiment analysis model for reliable outcomes.
  • trains its model to recognize the language unique to the industry.
  • recognizes a variety of feelings, including happiness, rage, annoyance, concern, etc.
  • has good integration with external platforms like Zendesk and Google Sheets.
  • comments are automatically tagged.


  • Text and response labels
  • Simple setup
  • Minimal learning curve
  • Creates custom data within of texts


  • Only a few integrations
  • Unsuitable for startups or small businesses

4. Lexalytics

Lexalytics is another program on our list of sentiment analysis tools. Tracking brand sentiment is one of the tool’s many popular functions.

In order to accurately do text analysis, it breaks down the response text into its syntax and semantics. Lexalytics visualizes the data results for simpler analysis, just like other tools do.

  • Recommended for: Text analysis and sentiment analysis.
  • For: Medium-sized to large businesses
  • Price: Upon request


  • uses natural language processing (NLP) to evaluate text and assign an emotional rating.
  • provides connectivity with useful tools like Leanstack,, Voziq, Angoss, Zapier, and Zapier, among others.
  • features a Semantria Cloud-based API with variable language options that offers numerous industry packs.
  • using its Cloud API to analyze various types of documents.
  • provides 30 language support.


  • investigates the causes of customers’ feelings
  • complete control over customizing NLP analytics features
  • using Microsoft Excel compatible
  • reports are transformed into graphs and tables.


  • Only Excel exports

5. Brandwatch

Brandwatch is one of the top social media sentiment analysis tools available today. It exclusively focuses on the feedback posted on social networking websites like Facebook, Twitter, LinkedIn, and Instagram.

If you want to evaluate and track brand mentions from various forums and web portals, you should think about using this application. You may gauge customer sentiment and how they feel about your brand with the tool.

  • Best for: Text analysis, social media sentiment analysis, and image sentiment analysis
  • For: Medium-sized to large businesses
  • Price: Upon request


  • evaluates and keeps track of in-the-moment customer sentiment changes and brand awareness.
  • has an integrated tool called Image Insights that keeps track of and finds images that are associated with or relevant to your brand.
  • assembles relevant photos for your brand into a collection for quick study and identifies their source.
  • tracks several data, including volume, the most recent activity, followers overall, etc.
  • identifies the performance of your brand images among your target market on various channels.


  • very programmable system
  • thorough categorization of online conversational data is supported.
  • versatile and scalable


  • occasionally slows while categorizing bigger sets of data

6. Brand24

Brand24 is another well-liked social sentiment analysis tool. Sentiment and language analysis are two of its most prominent media monitoring features.

Using this sentiment analysis tool, you may watch social media and the web in real-time and gather useful data.

  • Best for: Brand sentiment tracking, social sentiment analytics, market research
  • For: Medium-sized to large businesses
  • Price: $49 per month for a single user, $99 per month for a team.


  • uses its technology to track social media posts that mention your brand.
  • includes coverage of important social media networks, news sources, review portals, podcasts, newsletters, etc.
  • observes the tone of brand references in posts, comments, and news articles on social media.
  • encourages benchmarking, audience and behavior tracking, rival monitoring, etc.
  • aids in managing campaigns, trend research, managing customer feedback, and press monitoring, to mention a few.
  • includes a volume chart that displays the loudness of the conversation.
  • enables connectivity with NapoleonCat and Slack.


  • Amazing customer service
  • Sends notifications for any reference made on social media.


  • Cost-prohibitive for microbusinesses
  • Few keywor.ds in languages other than English

7. Social Searcher

Social Searcher is a wonderful free alternative for sentiment analysis on social media. The program checks factors you provide into the algorithm, such as keywords, hashtags, usernames, etc., and analyzes the tone of discussions surrounding the issues.

To effectively assess your position on each platform, you can also view reports from several platforms on various dashboard pages.

  • Best for: User and market research, sentiment analysis of social media
  • For: Small to medium-sized companies
  • Prices start at 3.49 euros per month. Free version is offered.


  • possesses an API that enables smooth integration into business systems.
  • you can integrate with numerous third-party tools using the built-in API.
  • provides a variety of additional features, including the Google Social Search engine, Social Buzz, Media Monitoring, and more.
  • it’s accessible without registering.
  • all mentions are given green, red, and gray dots to aid with categorisation.
  • provides emotional filters to view comments and responses that correspond to a particular feeling.
  • separately offers analytics on every media platform.
  • incorporates Zapier, RapidMiner, and other programs.


  • Responsive assistance
  • AP native


  • Integrations lacking

8. MeaningCloud

Using its sentiment analysis API, MeaningCloud creates a wonderful sentiment analysis platform that supports multiple languages.

The best feature of this application is how it analyzes and displays which subjects are discussed positively, negatively, and neutrally. The following features will help you determine if this tool is right for you.

  • Best for: Market research and multilingual sentiment analysis
  • Suitable for: Small- to medium-sized companies
  • Price: $99 per month and above. Free version is offered


  • provides a broad, worldwide perspective on how customers feel about your brand.
  • enables you to expand your lexicon with words related to your industry.
  • analyzes and distinguishes between facts and opinions.
  • excellent for sarcasm and irony detection.
  • multiple languages are supported.
  • shows which languages are used in the material.


  • topic selection
  • text categorization


  • only a few integrations

9. Talkwalker Quick Search

Online sentiment analysis tool Quick Search by Talkwalker is ideal for your social media monitoring requirements. It recognizes and analyzes the intentions behind your social remarks, discussions, etc.

If you want to assess the results of your campaigns, spot content trends and ideas, and find influencers, you should think about using this tool.

  • Suitable for: Social media monitoring and multilingual emotion analysis.
  • For: Small- to medium-sized companies
  • Price: Upon request


  • provides picture recognition, assisting organizations in analyzing the sentiment included in both written and visual media.
  • analyzes comments in over 20 languages.
  • aids in the discovery of emoji, hashtags, and themes for keywords.
  • allows you to do a comparative analysis by comparing several brands or goods.
  • analyzes your campaigns’ volume, engagement, demographics, etc.


  • Customizable
  • UI is friendly to users


  • a little learning curve
  • less characteristics
  • lacks compatibility with outside apps

10. Rosette

If your company is international and you want to examine feedback in a variety of languages, Rosette is the right solution for you. An astonishing amount of 30+ languages are supported.

It requires manual labor to translate the feedback into a particular language for analysis. Since the algorithm is trained on tweets, it makes for a fantastic platform for Twitter sentiment research.

  • Best for: Sentiment analysis and multilingual feedback analysis
  • Suitable for: Small- to medium-sized companies
  • Price: $99 per month and above. Free version is offered


  • efficiently evaluates the content’s language and assigns emotional ratings.
  • includes an API that allows you to incorporate this product into your business process easily.
  • assists you in gathering sentiment information for various products through categorisation.
  • uses morphological analysis to identify speech constituents.
  • uses lemmatization to aggregate inflected words for collective analysis.
  • provides cloud functionality and a field training kit for classification.


  • name similarity
  • extraction of relationships
  • languages recognized


  • provides a 600 KB maximum download size
  • has a character count cap of 50,000 characters.

11. Repustate

Repustate is a tool that accurately evaluates customer reviews using sentiment analysis and a text-analysis API. The algorithm is quite good at identifying slang, abbreviated language, emojis, etc. to ascertain the text’s underlying intentions.

  • Best for: Multilingual emotion analysis and social sentiment analysis
  • For: Medium-sized to large businesses
  • Starting at $200 per month,


  • allows you to train the algorithm to understand different slang meanings.
  • allows you to set a filter for language specific to your industry by customizing the rules of its API.
  • about 1000 comments are examined every second.
  • brings you accurate sentiment data by analyzing videos, photos, documents, polls, and social media postings.
  • integrates with social media sites including Douyin, Twitch, TikTok, Google Reviews, and YouTube.
  • examines content in 23 different languages.


  • quicker than other tools
  • setting up the API does not involve any coding.
  • scalable


  • limited integration with tools at an enterprise-level.
  • not appropriate for new and small enterprises

12. Clarabridge

Another well-known text analysis tool is Clarabridge, which analyzes comments from a variety of sources, including emails, chats, social media, and surveys, and provides the overall sentiment.

The instrument focuses on speech analytics and aids in analyzing audio feedback data to determine customer sentiment. This functionality is used by brands in their customer service and sales procedures.

  • Best for: Multilingual sentiment analysis and speech analytics
  • For: Medium-sized to large businesses
  • Price: Available upon request.


  • includes a range of CXM features, such as CX Social and CX Analytics.
  • utilizes an 11-point scale to index various feelings in the data.
  • provides features like intelligent grading and vendor-neutral transcribing.
  • possesses knowledge of managing challenges during speech analysis.
  • translates voice from call records into useful content that helps customers with their problems.
  • integrates with Microsoft, Aspect, Genesys, RedBox, Five9, and inContact.
  • 22 languages are supported for natural language understanding.


  • User-friendly
  • responsive client service
  • supports multiple languages


  • occasionally logs out of social networking accounts automatically
  • response tagging is ineffective.

13. Social Mention

A sentiment analysis service called Social Mention provides assistance with user and market research and informs you of the level of buzz you have created among your target market.

Since Social Mention allows you to accomplish anything from their website, there is no need for you to register or download any software. The search function allows you to enter keywords, and it will then gather the pertinent information from all social media sites and present it to you as a summary.

  • Best for: Text analysis, online sentiment analysis, social media sentiment analysis
  • Suitable for: Small- to medium-sized companies
  • Cost: Free


  • shows you the proportion of people who have varied emotional reactions to your brand, such as the number of people who are speaking badly compared to positively.
  • calculates the proportion of people who are most likely to continue referencing your brand online.
  • evaluates the effectiveness of the search terms you used.
  • monitors various websites, including Google News, Flickr, Reddit, Twitter, Instagram, and others.


  • campaign and performance monitoring in real time
  • future performance is predicted


  • monitors previous efforts that interfere with the analysis
  • unable to evaluate specific mentions
  • integrations lacking

14. Hootsuite Insights

One of the best brand sentiment analysis tools you can use to monitor your customer experience is Hootsuite Insights. It uses its patented IrisTM technology to transform your data into insightful customer information.

Sentiment Analysis Tools

The program is well-known for its various capabilities, including the ability to set alerts for uncharacteristic rises in unfavorable sentiment against your company.

  • Best for: Market research, multilingual emotion analysis, social media sentiment analysis
  • Suitable for: Small- to medium-sized companies
  • Price: $29 per month and above. Free version is offered


  • collects client feedback and evaluates the emotion it represents in real time.
  • aids in keeping track of social media trends that are relevant to your brand.
  • examines a huge amount of user-generated content.
  • identifies brand supporters and thinking leaders.
  • Excellent for market research because it indicates when to launch new products.
  • filters social mentions according to language, geography, and gender.
  • supports 50 different languages.
  • allows you to designate team members to respond to postings and conversations.
  • Rich in integrations with platforms like Yext, Talkwalker, Radarly, and Brandwatch.


  • encourages cooperation
  • daily/weekly wrap-ups
  • notifications for certain posts
  • endless mentions


  • With a large clientele, it can be challenging to remember what’s on the sidebar lists.

15. Rapidminer

Text mining is a popular feature of Rapidminer. This data science tool makes sentiment analysis easier. It examines stuff from several sources to produce qualitative revelations.

  • Best for: Text analysis and social media sentiment analysis
  • Suitable for: Small- to medium-sized companies
  • Price: Upon request


  • analyzes sources for sentiment analysis such as social media, academic publications, contact center transcriptions, forums, online reviews, and patent filings.
  • utilizes the same environment for extraction, modeling, data purification, and deployment.
  • provides model training, pre-built algorithms, and data visualization.


  • extracts knowledge from unstructured data.
  • no coding is necessary


  • crashes very a bit
  • occasionally randomly omits data points
  • incline learning curve

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Sentiment Analysis Tools

Frequently Asked Questions

How should sentiment analysis be done?

There are several ways to determine a sentiment score, but the most popular one is to utilize a dictionary of terms that are either positive, neutral, or negative. The number of negative and positive terms in the text is then examined. This can help us understand the text's tone in general.

To what extent does sentiment analysis require data?

Due to the vast amount of words and phrases, or n-grams, required for sentiment analysis or document classification problems, millions of samples may be needed. It is recommended that you have 10 times as many observations as features for many regression issues.

What distinguishes sentiment analysis from natural language processing?

A part of natural language processing (NLP) is sentiment analysis. It is a data mining method that uses NLP to gauge and attempt to comprehend people's positions and thoughts. Information from the web, social media, and many other online sources are examined through computational linguistics and text analysis.


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