10 Sentiment Analysis Tools Marketers Should Use In 2024

Apr 15, 2023 12 min read

Emotions play a major role in your customer’s buying decisions. While it might sound impossible to measure how anyone feels about your brand, there are ways to do it. Customer sentiment analysis tools have become an integral part of every decision for successful businesses.

Understanding how your customers feel about your business is referred to as customer sentiment analysis. They might dislike you, like you, or be completely indifferent toward you. In order to figure out these emotions of your customers, the first step is listening to what they say about your brand by monitoring your social mentions and online reviews.

If you are on the fence about investing in a sentiment analysis tool, take a look at our top pick and explore the benefits they can deliver for your business.

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What To Consider When Selecting A Sentiment Analysis Tool?

Below we have listed 7 essential features and capabilities for you to consider when selecting a sentiment analysis tool that best fits your business’s needs:

Accurate Text Analysis Algorithm

Most customer opinions are expressed through written text in the online world (through comments, reviews, etc.). Hence, one of the most important factors to consider is that to interpret written human language accurately, the tool should use advanced text analysis AI.

The keyword you should look for here is “natural language processing” (NLP). NLP is a subfield of AI and linguistics concerned with analyzing large volumes of natural language data.

The sentiment analysis tool won’t be accurate enough to deliver meaningful insights if it uses outdated or primitive NLP technology. And if it can’t do that, then it’s a wasted investment for your business.

Ease Of Setup

The sentiment analysis tool you choose shouldn’t require excessive training to function properly. All NLP tools are not created equally. Some models require manual training to label language and detect industry-specific topics accurately.

Hence, you should select a sentiment analysis software that has a quick and easy setup process and uses state-of-the-art technology to minimize the efforts required on your side.

If you are planning on analyzing large datasets, ensure that the tool you select has the ability to handle it in order to avoid lagging technology prone to crashing.

Multiple Sources For Data Collection

You ideally want a sentiment analysis tool that’s capable of processing data across numerous sources. Opting for a sentiment analysis tool that consolidates data from social media channels, news sources, surveys, CRM data, and more to avoid information silos.

Intuitive Reporting

Your team will make more use of a sentiment analysis tool when it is easy for them to garner actionable insights from your data. Don’t use a tool with unintuitive data visualizations and complex interfaces; they are off-putting to users. You will only have a hard time convincing your teams to use the tool to its fullest advantage.

Real-time Notification

If it's important for your business to respond in real-time, go with a tool that offers immediate notifications on the platforms of your choice if. For instance, whenever there’s a strong downward trend in your customer's sentiments, you should be notified by your sentiment analysis platform at the earliest. This will enable rapid-fire responses to help you mitigate PR disasters right at the start.

Competitive Analysis

Some sentiment analysis tools are designed to analyze only one brand, while others can also be used to compare performance with the main players in your industry. Competitive sentiment analysis is useful for benchmarking, gaining useful market insights, and finding your niche.

Image & Video Recognition

Today, the amount of visual video content circulating on social media has increased drastically. Hence, it makes sense for your business to opt for a sentiment analysis tool that integrates with image and video recognition technology. Some tools can even identify brand images, such as logos and other brand artwork.

For instance, fashion brands might find it useful to use video recognition AI technology to identify videos featuring Instagram influencers wearing their branded clothing.

10 Must-have Sentiment Analysis Tools For Marketers In 2024



Statusbrew is a comprehensive social media management platform that offers a wide range of features to help businesses manage their social media presence effectively. One of the standout features of Statusbrew is its advanced sentiment analysis ability, which allows monitoring public sentiment around your brand and products across various social media platforms.

Key Features

Statusbrew's sentiment analysis tool helps you stay on top of public sentiment, enabling you to make informed decisions and optimize your social media strategy for better engagement and growth. Here's how:

  • Multi-language support: Statusbrew supports sentiment analysis in several languages, including English, Spanish, German, French, Italian, Japanese, Korean, Hindi, Arabic, and Chinese languages.

  • Automated sentiment detection: With highly trained AI for human interaction and language, Statusbrew instantly marks each conversation as positive, negative, or neutral based on the content.

  • Manual sentiment tagging: You can change and update the sentiment manually if you feel the automated sentiment detection is inaccurate (which is very, very rare).

  • Filter conversations by sentiment: Statusbrew provides the ability to filter conversations based on sentiment to quickly identify and respond to negative sentiment and amplify positive sentiment. You automate assigning conversations to your internal team members based on the sentiment so that the best people can address them.


  • Sentiment analysis report: Statusbrew provides insightful reporting on public sentiment around a brand's engagements across social media platforms. This will help you to get a complete picture of public sentiment and measure the success of your social media campaigns.

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Brand24 is a media monitoring tool that helps you to keep track of your brand's online presence. With its advanced sentiment analysis feature, Brand24 enables you to determine the overall sentiment around your brand by analyzing mentions in real time.

Key Features

  • Web and social media monitoring for all major social media networks, web, news sites, blogs, forums, podcasts, and newsletters
  • Real-time collection of mentions for robust media monitoring analytics
  • The sentiment analysis algorithm is applied to all collected mentions and social media posts
  • Machine learning algorithms & natural language processing to analyze text data in real-time
  • Ability to determine brand sentiment by tracking positive, negative, and neutral mentions
  • Sentiment analysis graph with green and red lines representing changes in sentiment score over time
  • Sentiment analysis filter to easily filter mentions based on sentiment
  • Analysis tab for deeper analysis of sentiment data
  • Summary tab for sentiment indicators
  • Exportable results in PDF reports for easy sharing with supervisors

Social Mention


Social Mention is a user-friendly social media search tool that brings together content from all over the web and gives you a comprehensive view of what people say about your brand in real-time, no matter where they are in the world.

And if you are looking for even more advanced monitoring capabilities, Social Mention is just one of the features included in BrandMentions. BrandMentions is an all-in-one tool that lets you track and engage with online conversations as they happen.

Key Features

  • As a free social media search tool, Social Mention aggregates user-generated content from across the internet into a single stream of information.
  • Track & measure what people are saying about your brand in real-time, anywhere globally.
  • Manage your online reputation by monitoring your brand and social presence 24/7 and responding to social mentions promptly.
  • Gain customer insights to understand better how your customers interact with your brand and improve your marketing media strategy & enhance customer experience.
  • Monitor multiple social networks, including Facebook, Twitter, Instagram, and others.
  • Find the right influencers & connect with them to create effective marketing strategies for your target audience.
  • Perform sentiment analysis to quickly sort and track negative social mentions from positive ones to craft your social media marketing strategy better.



Mention is a media monitoring tool that offers a variety of features to help businesses keep track of their brand, competitors, and industry trends.

One of the most valuable features of Mention is sentiment analysis, which allows users to monitor the tone and emotions associated with mentions of their brand or competitors. With a simple interface & excellent customer support, Mention is an essential tool for any business looking to stay ahead of the competition.

Key Features

  • Use sentiment analysis to monitor competitors and track their customer feedback and sentiments.
  • Target competitors' unhappy customers and turn them into your customers.
  • Borrow good ideas from competitors and use their tactics to your advantage.
  • Learn from your competitors' mistakes by monitoring their marketing and PR strategies.
  • Advanced filters allow you to filter information by sentiment, influence, source, and more.
  • Boolean queries enable you to be more precise in your alerts and hear only what you need to hear.
  • Mention's interface is user-friendly, and their support team is always ready to help.
  • Integrations with Twitter, Facebook, and Instagram allow access to social media accounts and scheduled social updates.
  • Filter mentions based on the reach of the person talking and identify valuable contacts for more favorable press.
  • Pulse alerts notify you when your keywords become popular, so you can react promptly to your brand's viral news, whether positive or negative.



MeaningCloud's Sentiment Analysis API provides detailed and multilingual sentiment analysis on information from various sources. By analyzing the text, the API determines whether it expresses a neutral, positive, or negative sentiment and uses advanced natural language processing techniques to detect the polarity associated with both the entities and the concepts of the text.

It also allows users to define their own entities and concepts, making the tool applicable to any scenario. This comprehensive approach to sentiment analysis makes MeaningCloud a powerful solution for businesses looking to analyze customer feedback, social media posts, and other forms of textual data.

Key Features

  • Global sentiment extraction to determine the general opinion expressed in text.
  • Sentiment analysis at the attribute level to detect specific sentiment for an object or its qualities, with detailed analysis of each sentence.
  • Identification of opinions and facts to distinguish between objective facts and subjective opinions.
  • Detection of irony to identify comments where the expressed sentiment is the opposite of what is said.
  • Graduated polarity to differentiate between very positive and very negative opinions, as well as the absence of sentiment.
  • Agreement and disagreement detection to identify opposing opinions and contradictory or ambiguous messages.



Awario is a web-based social listening tool that offers numerous features, including access to a sentiment analysis tool upon signing into its website. It collects data from various sources, such as social media platforms like Twitter and Reddit, as well as websites, blogs, and forums.

Key Features

  • Allows users to measure their brand's reputation by looking at Mention Statistics to see overall trends and patterns in their online presence.
  • Users can monitor their brand's overall social media sentiment and see whether it is positive, negative, or neutral and the percentage of complaints and praises they receive.
  • Prioritizes engagement by first helping users spot crises and react to urgent negative social mentions.
  • Tracks reactions to marketing campaigns and product releases in real-time and provides ongoing social media sentiment analysis to determine whether people's opinions are positive or negative about them.
  • Offers a filter to reveal negative mentions and answer complaints first, thus preventing potential crises.
  • Allows users to set up alerts for their campaigns or product launches and watch the reaction.
  • Offers a competitive analysis feature that enables users to monitor competitors' brand sentiment on social media and compare it to their own brand.
  • Provides sentiment analysis reports that help users discover their competitors' strengths and weaknesses and introduce social selling in a timely manner.



Qualtrics is a powerful sentiment analysis tool widely used by businesses to understand customer sentiment and behavior. It uses natural language processing (NLP) algorithms to analyze large volumes of unstructured data, such as customer feedback, social media posts, and online reviews, and extract meaningful insights to inform business decisions.

Key Features

  • Offers real-time sentiment analysis, allowing businesses to respond quickly to customer feedback and concerns
  • Allows users to filter and segment data based on criteria, such as product or service, customer demographics, or sentiment
  • Offers customizable dashboards and reports that allow users to visualize and share insights with stakeholders
  • Can be integrated with other business systems, such as CRM or marketing automation platforms, to provide a complete view of customer sentiment and behavior
  • Offers advanced analytics capabilities, such as predictive modeling and machine learning, to help businesses identify trends and patterns in customer feedback over time
  • Includes text analytics features, such as topic modeling and sentiment classification, that enable users to gain deeper insights into the underlying themes and emotions driving customer sentiment
  • Provides robust data security and compliance features to protect sensitive customer data and ensure regulatory compliance



MonkeyLearn is a no-code text analytics platform that offers pre-built and custom machine-learning models for sentiment analysis, entity recognition, topic classification, and more. It simplifies text analytics and visualization of customer feedback with its easy-to-use interface and powerful AI capabilities.

Key Features

  • Provides an all-in-one text analysis and data visualization studio that enables users to gain instant insights when analyzing their data
  • Users can use MonkeyLearn's ready-made machine learning models or build and train their own code-free
  • Offers a range of pre-trained classifiers and extractors, including sentiment analysis and entity recognition
  • Users can easily import their dataset, define custom tags, and train their models in a simple UI
  • Offers business templates tailored for different scenarios, equipped with pre-made text analysis models and dashboards
  • Users can upload data, run the analysis, and get actionable insights instantly visualized
  • MonkeyLearn's NPS Analysis template helps strengthen promoters, convert passives and detractors, and improve overall customer satisfaction

Microsoft Azure Text Analytics API


The Text Analytics API of Microsoft Azure Cognitive Services enables users to detect sentiment, language, key phrases, and topics from text inputs. Upon performing Sentiment Analysis, the API provides a numerical score between 0 and 1.

A score close to 1 denotes positive sentiment, while a score close to 0 represents negative sentiment. The sentiment score is generated using classification techniques that leverage n-grams, features extracted from part-of-speech tags, and word embeddings.

The API supports English, French, Spanish, and Portuguese languages. When it comes to Key Phrase Extraction, the API generates a list of strings that highlight the key discussion points in the text input.

Key Features

  • Sentiment analysis
  • Key phrase extraction
  • Language detection
  • Used to analyze unstructured text for tasks
  • Built with best-in-class Microsoft machine-learning algorithms
  • Training data is not required to use this API



Lexalytics offers state-of-the-art text analytics software solutions designed to provide businesses with advanced entity extraction, sentiment analysis, document summarization, and thematic extraction capabilities. Its proprietary multi-lingual text analytics engine, Salience, is currently integrated into various systems, including market research, social media monitoring, sentiment analysis, survey analysis/voice of the customer, enterprise search, and public policy.

Salience employs cutting-edge text processing, natural language processing, & text analytics technologies such as Sentiment Analysis, Theme (Context) Extraction, Named Entity Extraction, Entity-Level Sentiment Analysis, Summarization, and Facet and Attribute Extraction. With its highly tunable NLP engine, Lexalytics technology is widely considered one of the most advanced and adaptable sentiment analysis tool in the market.

Key Features

  • Cloud API
  • On-premise natural language processing engine
  • Text & sentiment analysis for surveys, social media, & reviews in Microsoft Excel
  • Precise and relevant topic detection
  • Industry-specific entity extraction

Make Informed Marketing Decisions With Sentiment Analysis Tools

Customer sentiment & purchase intent go hand in hand. Brands should design their marketing plan after knowing the positive & negative impressions of their potential & existing customers.

Now that you know about the top sentiment analysis tools available and how to choose them, you should start thinking about the one that you can implement in your business.

Social media has become the hub for new-age businesses for their growth and to acquire new customers. Hence, it's a must to keep track of what your target audience's sentiments are on social media.

Interested in checking out a social media sentiment analysis tool? Book a demo today to get a FREE tour of the platform.

Try Statusbrew

Statusbrew is an all-in-one social media management tool that supports Facebook, Instagram, WhatsApp, Twitter, LinkedIn, YouTube, and even Google My Business.

FAQs (Frequently Asked Questions)

Here are some commonly asked questions about sentiment analysis tools:

What are sentiment analysis tools?

Sentiment analysis tools provide insight into what your customers feel toward your brand online. They even help you determine what your customer’s needs are, which is an integral part of understanding how you can best serve your customer.

Which are the free sentiment analysis tools?

Social Mention is a free sentiment analysis tool. Social media sentiment analysis tools like Statusbrew even provide a free trial to test the tool completely before opting for a premium plan.

Which are the best sentiment analysis tools?

The top 3 best sentiment analysis tools are:

  1. Statusbrew
  2. Brand24
  3. Mention

Rushali Das

Rushali is a B2B SaaS content writer who specializes in writing research-driven blog posts around marketing for B2B SaaS brands.

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