Best Sentiment Analysis Tools 2024: to empower your business

Discover sentiment analysis tools for an insightful, data-driven understanding of emotion in copy that enables better decision making and engagement strategies.

Businesses and people are looking for tools that can accurately measure public opinion, sentiment, and emotions across a number of platforms. This is called sentiment analysis. Using the right sentiment analysis tools can make it much easier to make decisions, come up with marketing plans, and keep up with the reputation of your brand. Out of all the options out there, the search for the best sentiment analysis tools comes down to those that are accurate, flexible, and easy to use.

Lexalytics, IBM Watson Natural Language Understanding, and Google Cloud Natural Language API are some of the best tools for analyzing sentiment. These tools use complex algorithms and machine learning to look at text, social media posts, and other digital messages to find out how people feel, what they’re saying, and what the context is. Below, we have mentioned the best sentiment analysis tools.

What is Sentiment Analysis Tools?

Software programs called sentiment analysis tools can read and figure out what feelings, thoughts, and opinions are being expressed in text. For example, these tools use machine learning and natural language processing to figure out whether a piece of text is neutral, positive, or negative. Sentiment analysis tools help businesses figure out how people feel about things in the public eye, make decisions based on data, and respond well to customer complaints and feedback. They are often used for market research, social media monitoring, and customer feedback analysis.

Best Sentiment Analysis Tools Comparison Table

Textual sentiments are analyzed using natural language processing and machine learning. These tools analyze social media posts, customer reviews, and other online content to gauge public opinion and help businesses improve products and services using data.

Sentiment AnalysisYesYesYesYesYes
Social Media SourcesVariousGlobalGlobalBroadGlobal
Language SupportMultipleMultipleMultipleMultipleMultiple
Real-time MonitoringYesYesYesYesYes
Historical DataLimitedYesYesLimitedYes
Influencer AnalysisLimitedYesYesYesYes


Best Sentiment Analysis Tools


  • Sentiment analysis and text analytics
  • Multilingual natural language processing
  • Customizable machine learning models
  • Social media and web data insights

Repustate is equipped with a sophisticated application programming interface (API) for text analysis, which accurately evaluates the sentiment behind customer responses. Slang and short-form text, such as lol, rofl, and smh, are able to be recognized by the software that it uses. Emojis are also analyzed, and their meanings within the context of a message are determined by the software. Still, it is one of the best sentiment analysis tools that you can consider.

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  • Advanced sentiment analysis and natural language processing capabilities.
  • Multilingual support for analyzing content in various languages.
  • Customizable APIs for integration with other business applications.


  • Smaller user base compared to some larger competitors.
  • The learning curve for advanced customization may be steep for some users.


Best Sentiment Analysis Tools


  • Social media listening and analytics
  • Real-time monitoring of online mentions
  • Influencer identification and tracking
  • Competitive benchmarking and reporting

Talkwalker’s customer service platform includes Quick Search sentiment analysis. This tool is best for social media because it shows how people feel about your company’s accounts. Quick Search analyzes mentions, comments, engagements, and other data to give your team a complete picture of customer response to your social media activity. Overall, it is one of the best sentiment analysis tools that you can consider.


  • Comprehensive social media listening and analytics platform.
  • Real-time monitoring and customizable dashboards for data visualization.
  • Competitive benchmarking and influencer identification features.


  • Pricing may be higher for smaller businesses or individual users.
  • Some users may find the interface overwhelming due to the abundance of features.


Best Sentiment Analysis Tools


  • Social listening and analytics platform
  • Consumer insights and trend analysis
  • Image and video analysis
  • Brand reputation management tools

The 2020 Forrester Wave for social listening platforms named Brandwatch a leader. The platform’s sentiment analysis tools were judged to be more accurate and precise than those of other vendors. Companies utilize Brandwatch to keep an eye on online mentions of their brand, hear what customers have to say, spot changes in sentiment, and find out how visible their brand is at all times, 24 hours a day, seven days a week. This is the best sentiment analysis tools that you can consider.


  • Powerful social media analytics with advanced sentiment analysis.
  • Robust data visualization and reporting tools.
  • Competitive intelligence and market research features.


  • Higher cost compared to some other social media monitoring tools.
  • Learning curve for users new to social media analytics.


Best Sentiment Analysis Tools


  • Social media monitoring and listening
  • Real-time alerts for brand mentions
  • Influencer identification and engagement
  • Competitor analysis and benchmarking

Awario is a social listening tool that works in real time and uses sentiment analysis to look at things like tweets, posts, Reddit threads, and more. You can get up-to-date information about your business by finding out how people feel about brand mentions in real time. You can also keep an eye on how people feel about certain keywords that you want to track. Overall, this is one of the best sentiment analysis tools.


  • Real-time monitoring of mentions across social media, news, and the web.
  • Sentiment analysis and influencer identification.
  • User-friendly interface with customizable reporting.


  • Limited features compared to some larger, more comprehensive platforms.
  • Smaller user community compared to industry leaders.


Best Sentiment Analysis Tools


  • Media monitoring and intelligence
  • News and social media analytics
  • Reputation management tools
  • Competitive benchmarking and market insights

Natural language processing (NLP) algorithms are used by Meltwater’s sentiment analysis to look at how people feel about things in articles, social media posts, and other online content. There are many types of sentiment analysis that the Meltwater can do, such as text processing, lexicon-based analysis, contextual understanding, weighting and scoring, and collecting and summarizing. Currently, this is one of the best sentiment analysis tools.


  • Global media monitoring, including social media, news, and online sources.
  • Advanced analytics and reporting for PR and marketing professionals.
  • Competitive intelligence and benchmarking features.


  • Higher pricing, making it less accessible for smaller businesses.
  • Some users may find the interface complex, especially for beginners.

Tips for Effective Sentiment Analysis

The goal of sentiment analysis is to figure out the emotional tone or sentiment of a piece of writing. If you want to do good sentiment analysis on text data, like customer reviews, social media comments, or anything else, here are some tips:

Understand the Context: The meaning of words and how they are used can change depending on the situation. To get better results, think about the text around it and the specific domain or industry you are looking at.

Use a Robust Dataset: Make sure that your sentiment analysis model is trained on a dataset that is diverse and true to life. The model will be better able to adapt to different situations if the dataset is well-balanced and includes a range of emotions and situations.

Preprocess Text Data: It is important to clean and prepare the text data before analyzing it. This could mean getting rid of characters that aren’t needed, changing the text to lowercase, and fixing problems with punctuation or special characters that could affect how well sentiment analysis works.

Pay Attention to Negations and Modifiers: Read the text carefully and pay attention to the negations and modifiers. Words like “not” can completely change the meaning of a sentence, so your model needs to be able to pick up on these subtleties so that it can analyze correctly.

Look into Pre-trained Models: You could use natural language processing (NLP) frameworks like BERT, GPT, or others to train pre-trained sentiment analysis models. These models can do accurate sentiment analysis right out of the box because they have been trained on a huge amount of data.

Tips for Choosing the Right Sentiment Analysis Tool for Your Business

It is very important to pick the right sentiment analysis tool for your business if you want to understand what customers think, what they say, and what the market trends are. To help you make an informed choice, here are some tips:

Describe your goals: Make your business’s goals and objectives for sentiment analysis very clear. Figure out exactly what you want to learn, like how satisfied your customers are, how people feel about your brand, or how market trends are changing.

Accuracy and Precision: Check to see how accurate and precise the language analysis tool is. Try to find a tool that gives you accurate results with few false positives and negatives. To get better accuracy, look into tools that use both machine learning and natural language processing.

Language Support: Make sure the sentiment analysis tool works with the languages that your business and audience speak. Some tools may work better with certain languages than others, so pick one that fits your needs.

Capabilities for Customization: Look for a tool that can be changed to fit your business or industry better. One of the ways you can customize something is by making small changes to the algorithms or sentiment analysis models to better fit your needs.

Real-time Analysis: If your business needs quick insights, pick a sentiment analysis tool that can do real-time analysis. This is especially important for fields that need to respond quickly to how customers feel.


Can ChatGPT do sentiment analysis?

ChatGPT can analyze customer reviews, monitor social media, identify issues, and tailor responses based on sentiment analysis, among other business use cases.

Can GPT-3 be used for sentiment analysis?

Explore how OpenAI’s GPT-3 and Python can be used to create powerful sentiment analysis pipelines that classify text as positive, negative, or neutral for insights.

Editorial Staff
Editorial Staff
The Bollyinside editorial staff is made up of tech experts with more than 10 years of experience Led by Sumit Chauhan. We started in 2014 and now Bollyinside is a leading tech resource, offering everything from product reviews and tech guides to marketing tips. Think of us as your go-to tech encyclopedia!


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