Top 20 Sentiment Analysis Tools & Software: Unlocking the Voice of Your Customers

Sure, feedback, reviews, likes, and shares tell a story. But what about the silent whispers of dissatisfaction, the sparks of delight hidden within abandoned carts, or the hesitant clicks that reveal indecision? 

These are the voices often missed, the emotions left unread. 

Sentiment analysis tools help cut through the noise, listen to the customer's emotions, and dive into the heart of customer experience, revealing the unspoken emotions hidden within text data.

In this blog, we have covered the top tools for sentiment analysis. 

TL;DR 

• Want to understand what your customers truly think and feel? Ditch the guesswork and embrace sentiment analysis tools. 
• These platforms translate customer feedback into actionable insights, helping you improve products, refine marketing, and boost customer satisfaction. 
• Dive into this guide to discover the best sentiment analysis software for different needs, learn how to choose the right one for your business, and even explore some free options.
• In this blog, we have enlisted the best sentiment analysis tools including names like Zonka Feedback, Qualtrics, Brandwatch, Brand24, SentiSensum, and more. 
• We've also shared a quick guide to help you choose the best sentiment analysis tool for your business.  
• Zonka Feedback is a powerful survey software that uses the power of Artificial Intelligence, Natural Language Processing, and Machine Learning to convert unstructured data from text and comments into structured analysis. Sign up for a free 14-day trial or schedule a demo to get a first–hand experience with this AI survey tool. 

Measure & Analyze Customer Sentiments 

With Sentiment Analysis Software, understand what users feel and learn ways to delight your customers.

What is Customer Sentiment Analysis?

Imagine being able to eavesdrop on a conversation where your customers discuss your brand, products, and services, but without the awkwardness of actually eavesdropping. 

That's the magic of sentiment analysis. 

It uncovers the hidden emotions, intent, and sentiments behind written words. A text can have mixed or multiple emotions. Using technologies like Natural Language Processes, Artificial Intelligence, and Machine Learning, sentiment analysis can analyze the hidden emotions behind the comments. 

What are Sentiment Analysis Tools?

Sentiment analysis tools scan text data like feedback, reviews, comments, social media posts, and survey data to uncover the underlying emotions and opinions. 

These tools use natural language processing (NLP) and machine learning algorithms to figure out emotions from text and categorize words and phrases as positive, negative, or neutral. Thus, in turn, revealing valuable insights into customer satisfaction, brand perception, and areas for improvement.

The best sentiment analysis tools even go beyond simply analyzing sentiments. They even offer statement-based sentiment analysis to help you judge the sentiments hidden in comments with mixed or multiple emotions. Further, they can identify the entities that are referred to in a comment. An advanced sentiment analysis software will identify entities like products, staff, locations, etc., and share the sentiments, intent, or emotions connected with them. 

Top Sentiment Analysis Tools & Software for Different Use Cases

Sentiment analysis software can be used by businesses of all scales and sizes and their use can vary based on different use cases. Some of the common uses for sentiment analysis tools:

• Customer feedback analysis: Many customer feedback tools also analyze customer reviews, surveys, and emails to identify pain points and improve customer satisfaction.
• Market research: These can be add-on features of market research tools to help you understand public opinion about your industry and your competitors.
• Social media monitoring: Track brand mentions and understand public perception on social media platforms.
• Brand Monitoring: Monitoring brand’s perception across the web.
• Product development: Gather product feedback on existing products and inform the development of new ones.

For Customer Feedback Analysis & Personalization

When it comes to customer feedback, identifying the hidden emotions behind the reviews, and what the customers were actually feeling while sharing the feedback can help you analyze it better and make informed decisions. 

Here are some tools to help you.

#1. Zonka Feedback

With Zonka Feedback's AI-powered Sentiment Analysis, you can experience advanced automated analysis for every incoming feedback, in real-time. The tool goes beyond the basics of categorizing the feedback with sentiments and expands to feedback intent, emotions, urgency, and entities.

All your unstructured text and comments get analyzed to give you feedback-wise analysis as well as in-depth insights and CX reports. Use these to get a deeper understanding of your business and operations, as well as take crucial CX decisions at ease.

Driven by AI and refined by the experts at Zonka Feedback, this full-featured Sentiment Analysis Software allows businesses to access advanced Sentiment Analysis with simplicity and accuracy.

With Zonka Feedback's sentiment analysis capabilities, businesses can enjoy a number of benefits. These include:

• Route issues based on the feedback analyzed to the right teams using workflows
• Spend more time on improvements than understanding why
• Discover drivers based on sentiments, emotions, and intent for various CX metrics
• Work at scale, the tool lets you scale without any limitations
• Generate reviews using workflows
• Identify trending issues and resolve them before they make customers churn
• Gauge general sentiment, perform intent analysis and emotion detection
• View theme-based and sentiment-based reports

What you get in the reports-

• Sentiments: Understand the sentiment behind the feedback. For instance, whether the feedback sentiment was positive, negative, or neutral.
• Intent: This plays a key role in understanding the intention of the feedback. Was it to praise the business, to complain, give suggestions, and so on? Using intent, you can build powerful workflows to resolve issues, gather reviews, and much more.
• Emotions: wide range of emotions including satisfaction, delight, dissatisfaction, anger, anticipation, loyalty, confusion, appreciation, hopefulness, skepticism, etc. 
• Entities: The basic entities customers can attach sentiments, emotions, or intent with like organization, product, amenities, services, person, location, etc. 
• Themes: Anything that’s broad and fits the requirements of the feedback.
• Sub-themes: Going a little more specific within the theme. 
• Tags: Different tags that can be auto-created by AI or can be fed into the system by the organization as well.

Key Features

No technical know-how required: This tool requires no coding. Teams can focus on making strategies based on the data without having to struggle with the setting up process. 

Advanced AI Reports: This sentiment analysis tool offers in-depth survey reports with sentiment summary, response level, common emotions, key/negative drivers, response intent, text cloud, trends based on sentiments, themes, sub-themes, and tags.

Customized Sentiment Analytics Models: Zonka Feedback offers custom models based on every organization’s unique needs. It also has models developed specifically for use cases like customer services as well as industries like healthcare, retail, etc. 

Automated Tag Generation: AI Tagger offers tags that match, suggest new tags, and even automatically generate new tags based on the responses received. 

#2. Qualtrics

Qualtrics, the industry leader in Experience Management (XM), comes with a powerful suite of tools to help you assess your customer’s sentiments. Its Voice of Customer Tools offers advanced sentiment analysis that helps transform your customer feedback from raw data into actionable gold.

Its advanced dashboards and reporting tools present sentiment insights in real time, allowing you to proactively address negative feedback, capitalize on positive trends, and continuously optimize your customer experience.

Key Features

Go Beyond Basic Numbers: Forget about just counting positive, negative, and neutral responses. Qualtrics delves deeper, identifying subtle nuances in emotion like disappointment, frustration, delight, and anticipation. 

Personalization at Scale: Qualtrics helps you tailor every customer interaction to their specific emotion and needs by automatically segmenting your audience based on sentiment. 

Text iQ: Your AI-Powered Copilot: Qualtrics' proprietary Text iQ technology goes beyond sentiment analysis. It extracts key themes, identifies topics of interest, and even automatically generates tags for easy categorization. This AI-powered assistant saves you time and effort, helping you uncover hidden patterns and gain a deeper understanding of your customer feedback.

You can also check out the top Qualtrics alternatives if you feel the tool is too enterprise-y or complex for your requirements. 

#3. Woopra

Woopra's AI-powered engine reads between the lines, deciphering emotions behind actions, uncovering hidden motivations, and revealing the true story behind every click. With its end-to-end customer journey and experience analytics, it allows businesses to better understand the pain points and perspectives of their customers. 

Key Features

Complete Analysis: Woopra drills down to the individual level, understanding how each customer feels at every touchpoint. 

Real-Time Empathy: Forget waiting for surveys or static reports. Woopra delivers live emotional insights, allowing you to respond to customer sentiments instantaneously. I

#4. Reputation

The next sentiment analysis tool in the list is Reputation. It converts feedback into opportunities by deciphering text to extract information. Using natural language processing, this tool helps you manage customer feedback and unlock the hidden emotions behind it. 

It identifies feedback as positive, negative, and neutral. Further, its machine learning algorithms help trace down detailed trends and patterns within the feedback. 

Key Features

Rich Sentiment Maps: It offers an easy-to-assess visual representation of the top-mentioned topics along with the sentiments attached to them. 

Auto-categorization: The tool instantly groups comments and customer data into categories, specifically designed for each industry to get feedback volume, sentiment score, and different sentiments by score. 

Advanced Text Analytics: It also analyzes text feedback to determine the positivity or negativity of the comments. 

#5. Sentisum

In today's customer-centric landscape, superficial data simply won't cut it. SentiSum empowers you to go beyond basic sentiment analysis and delve into the rich emotional tapestry of your customer feedback. Its AI-powered platform dissects every interaction, from emails and chats to surveys and reviews, unveiling the hidden themes, sub-themes, and individual entities that drive customer emotions and influence behavior.

This tool is designed specifically to automatically analyze the conversations through different channels in over 100 languages. It also tags the responses based on different sentiments to help you bifurcate the data more efficiently.

Key Features

Auto-applied Sentiment: This sentiment analysis tool can automatically identify sentiments behind every feedback and tell you how the customer feels about your brand, product, service, etc. 

Smart Prioritization: It lets you intelligently prioritize tickets and other tasks based on the sentiments conveyed through the comment. It identifies, tags, and categorizes tickets that are churn-prone, harmful to business, or time-sensitive and assigns them.  

Auto-tagging & Reporting: Powered by Natural Language Processing, Sentisum is one of the most popular sentiment analysis tools that auto-apply tags in real-time. 

For Market Research & Competitor Analysis

#6. Brandwatch

Brandwatch is a comprehensive social listening and analytics platform that helps businesses understand online conversations about their brand, industry, and competitors. It's particularly adept at sentiment analysis, providing valuable insights into the public's perception of your brand and its offerings.

Its powerful sentiment analysis capabilities, comprehensive data collection tool, social listening, and insightful reporting make it a one-stop shop for gathering the information you need to make informed business decisions. This sentiment analysis tool allows brands to monitor brand mentions, campaigns, competitors, trends, and audience sentiment.

Key Features

Advanced Sentiment Analysis: Brandwatch's advanced sentiment analysis engine goes beyond simply classifying mentions as positive, negative, or neutral. It delves deeper, identifying the specific emotions and opinions expressed, giving you a richer understanding of the public's true feelings. 

Topic and Theme Detection: Brandwatch automatically identifies key topics and themes emerging from the data. This helps you pinpoint what people are talking about most and how your brand fits into the overall conversation.

#7. MonkeyLearn

MonkeyLearn isn't just a sentiment analysis tool, it's a text analysis playground. It helps businesses perform in-depth analysis of reviews, social media mentions, and survey responses to understand how people view the brand, products, and competitors. It can also help identify market trends by tracking sentiments around industry topics and emerging trends to inform strategy and product development.

This sentiment analysis software is also powerful in analyzing competitor communication and customer perception to identify their strengths and weaknesses, enabling businesses to differentiate in the market. 

Key Features

Versatile Data Sources: Analyze public social media conversations, customer analysis, emails, surveys, and even internal documents. Gain insights from any text data you have.

Pre-trained & Custom Models: Choose from ready-made sentiment models for various languages and domains, like social media platforms or product reviews. Or, build a custom model tailored to your specific needs and industry jargon.

Granular Analysis: Highlight specific phrases, sentences, or paragraphs within your text to understand how different parts contribute to the overall sentiment. This helps pinpoint why people feel a certain way and identify key talking points.

Visualizations & Insights: Transform data into visually compelling insights. MonkeyLearn's dashboards and reports help you track trends, compare competitors, and easily share findings with your team.

For Social Media Monitoring

#8. Sprout Social

Sprout Social goes beyond sentiment analysis, offering a comprehensive suite of tools for social media engagement, publishing, and reporting. It's a one-stop solution for businesses of all sizes to gain valuable insights from social media platforms and their data and turn those insights into actionable strategies.

Key Features

Real-time Sentiment Analysis: It offers word cloud, sentiment breakdown for mentions, and performs sentiment research to analyze the sentiments behind hashtags, keywords, and competitor mentions.

Audience Analysis: The tool also helps identify the preferences of the audience to help businesses create a more informed marketing strategy. 

Competitor Comparison: This helps you get a better understanding of the attitude of your target audiences towards your competitors. 

Smart Reporting & Dashboard: It uses artificial intelligence to offer smart categories and tags to filter out the reports and get a better understanding of their sentiments. 

#9. Hootsuite

Hootsuite acts as a leading sentiment analysis software for monitoring your social media data and footprint. This tool allows businesses to track brand mentions, industry trends, and competitor activity across platforms in real-time, all under one roof. 

Hootsuite automatically labels mentions as positive, negative, or neutral, giving you a quick pulse of overall sentiment. But it goes deeper, identifying specific emotions like joy or anger to truly understand how people feel. 

Key Features

Real-time Monitoring: Imagine a central dashboard where you can track brand mentions, industry keywords, and competitor activity across multiple platforms like Facebook, Twitter, and Instagram, all in real-time. With Hootsuite's Stream View, that's exactly what you get. 

Iris: Personal AI Assistant: It detects any significant fluctuations in social conversations, especially peaks, and lets businesses know the real cause behind the jump. 

Reports for Mention: It offer in-depth insights on brand mentions. Be it classification, mention details, see mentions based on sentiments, add/delete tags, and do much more. 

#10. Meltwater

Meltwater empowers businesses of all scales to cut through the digital noise and grasp the true social narrative around the brand. Utilizing advanced AI and NLP, Meltwater delves beyond surface sentiment, dissecting emotions and uncovering nuanced opinions from every corner of the online world. Real-time alerts keep the business at the pulse of conversations, while comprehensive dashboards unveil actionable insights. 

One can easily use this sentiment analysis tool to craft targeted strategies, identify market shifts, and proactively address concerns – all empowered by the in-depth social intelligence Meltwater delivers.

Key Features

Global Scope for Data Research: Capture mentions across all channels, languages, and geographies, leaving no corner of the online conversation unexplored.

Advanced AI & NLP: Meltwater's AI identifies nuanced emotions like joy, anger, and trust, revealing the true drivers of public perception. Its powerful algorithms discover emerging trends and themes within conversations.

Alert System: React promptly to critical mentions, negative sentiment spikes, or competitor activity with customizable alerts.

#11. Synthesio

This social media sentiment analysis tool analyzes your global social media mentions, extracting emotions and insights from every corner of the web. It goes beyond basic sentiment, revealing the "why" behind opinions, helping you identify brand champions, address concerns early, and tailor strategies for each niche audience. 

From real-time alerts to AI-powered trend detection, Synthesio lets you listen more deeply, understand truly, and respond confidently, turning social media data into your ultimate feedback loop.

Key Feature

Track Fluctuating Sentiment: The tool’s sentiment analysis feature uses proprietary machine learning algorithms to analyze any fluctuations in the sentiments shown by the target audience on social media channels. 

Intuitive Dashboard: It has a visually appealing dashboard with a clear representation of how the brand is performing. 

#12. Lexalytics

Lexalytics dives deeper than just "like" or "dislike." Its social media analysis unlocks the true emotions behind online chatter, revealing hidden insights beyond basic customer sentiment. Understand why customers love (or loathe) your brand, pinpoint emerging trends, and personalize strategies for diverse audiences. 

Real-time alerts keep you on top of conversations, while AI-powered insights guide your responses, transforming social media into a rich feedback loop and fuel for smarter decisions. 

Key Features

Smart APIs: This tool offers text analytics and sentiment analysis API that can be easily integrated into any product, app, or platform to add the power of Natural Language Processing to it. 

Intention Detection: The tool also helps businesses detect the true intentions of the customers or the respondents behind the feedback they share. 

Entity Extraction: It also extracts entities like people, dates, places, products, etc., from text data to help businesses make more sense of it. 

For Brand Monitoring

#13. Brand24

Brand24 transcends mere mentions, unveiling the true customer sentiment swirling around your brand across the vast online landscape. Unlike most sentiment analysis tools, Brand24 goes beyond likes and dislikes, dissecting nuanced opinions through opinion mining and emotions in real-time across blogs, videos, forums, social media, customer review sites, news sites, and much more. 

This tool offers instant alerts to help businesses react swiftly to customer concerns, identify influential voices, and track the brand's reputation minute by minute.

Key Features 

Intuitive Dashboard: Key metrics like mentions, reach, sentiment scores trend,  sentiment trends, and influencer engagement are readily available, allowing you to grasp your brand's online performance at a glance. 

Brand Sentiment Comparison: Brand24 allows its users to track how positive, negative, neutral, and critical mentions of the competitors evolve, identify areas where they excel or lag, and tailor the strategies accordingly.

Detailed Emotion Analysis: It showcases how different emotions like admiration, joy, anger, etc., have changed over time to enable businesses to address concerns effectively, craft targeted content, and build stronger emotional connections with the audience.

#14. Mention

Mention is one of the best sentiment analysis tools for managing and monitoring a brand’s global narrative. It listens across languages and platforms, from mainstream giants to hidden corners. One can monitor over 1 billion sources across the web using this sentiment analysis tool. 

Key Features

Alerts of each mention: The tool sends out real-time alerts to its users whenever it is mentioned anywhere by people on the internet. 

Media Identification: By giving a better idea of the channels where the brand is buzzing, it helps identify what media could be great to focus on. 

Crisis Management: The tool helps identify potential PR disasters early, react swiftly with pre-built workflows, and mitigate negative impacts.

For Product Development & Innovation

#15. Medallia

Medallia doesn't just measure customer satisfaction, it unlocks the human stories behind the product. Its powerful Text Analytics engine dives deep into customer feedback, reviews, and conversations, extracting valuable insights beyond simple ratings. 

Businesses can uncover hidden frustrations, discover unmet needs, and understand the emotional drivers behind user behavior. 

This rich tapestry of sentiment fuels innovation, guiding product roadmaps, prioritizing features, and shaping experiences that truly resonate with your audience. From concept to launch, Medallia empowers you to build products people love, not just products they tolerate.

You can also check out the top Medallia alternatives that offer intelligent analysis that can help drive business decisions with precision. 

#16. Canny

Canny helps uncover the hidden emotions of the users to drive product innovation. This powerful sentiment analysis tool digs deep into user feedback of the product, reviews, and support conversations, unearthing not just what they think, but why they feel it. 

Canny fuels innovation by prioritizing features based on emotional impact, optimizing user journeys, and crafting experiences that touch hearts, not just click-through rates. Unlike many of the Canny alternatives that focus less on emotions and more on numbers, Canny lets you embrace the power of user emotion and watch your product evolve into a customer magnet.

#17. UserVoice

UserVoice is one of the most powerful sentiment analysis tools for informing product decisions. Its AI-powered Feedback Intelligence Suite delves into every piece of feedback, automatically detects themes, tracks what’s most important, and helps uncover user trends based on the sentiments showcased in their feedback. 

It comes with an Urgency Alert that not only categorizes the feedback based on the sentiment intensity but also sends instant alerts, highlighting areas that require instant attention to avoid churn. 

Some Free Sentiment Analysis Tools

For individuals or businesses that simply want to analyze a straight string of text, a sentence, or a paragraph, one can easily find a few free sentiment analysis tools. 

Here are some of the tools you can use for free to analyze the sentiments:

#18. Social Mention: This free sentiment analysis tool scans the web for brand mentions and offers basic sentiment categorization for free. It can be used for basic analysis but its interface and features are somewhat outdated.

#19. MeaningCloud Sentiment Analysis API: One can easily integrate it with their product and use it to analyze sentiments from short texts. Give 500 queries a month. 

#20. SentiStrength: This free sentiment analysis tool acts as an opinion mining program that assesses short text to analyze positive and negative sentiments along with their strength. Also gives binary, trinary, and single-scale reports. 

But these do just that, you feed the text and they share the emotions. 

They can offer basic analysis. Even some of the tools that we’ve mentioned above have a free version for sentiment analysis. You can try them and switch to the premium version if you like the analysis offered. 

Benefits of Adopting a Sentiment Analysis Tool

There are multiple benefits of adopting a sentiment analysis tool. These revolve around identifying true customer emotions and ensuring that your interaction with them is based on how they feel. 

Here are some of the top benefits:

• Deeper Customer Understanding: Go beyond surface-level metrics and truly grasp what your customers think and feel.
• Informed Decision Making: Leverage sentiment insights to prioritize product development, refine marketing campaigns, and enhance customer experience.
• Boosted Brand Reputation: Identify and address negative sentiment early on, preventing reputational damage and building trust with your customers.
• Improved Customer Satisfaction: Respond to customer needs and concerns effectively, creating a loyal and engaged customer base.
• Competitive Advantage: Gain a data-driven edge over your competitors by understanding customer preferences and tailoring your offerings accordingly.
• Personalizing Interactions: Sentiment analysis allows you to tailor your communication based on individual customer emotions. For example, you can offer empathetic support to those expressing frustration or send congratulatory messages to those sharing positive experiences.
• Predicting Customer Churn: By identifying negative sentiment trends in customer feedback, you can proactively address concerns and prevent potential churns before it's too late. Early intervention can save valuable customer relationships and revenue.
• Enhancing Product Development: Analyze customer feedback to uncover unmet needs and identify areas for product improvement. This data can guide your development team in creating products that truly resonate with your target audience.
• Optimizing Marketing Campaigns: Use sentiment analysis to understand how your marketing messages are received by different segments of your audience. This allows you to refine your messaging and targeting for maximum impact and ROI.
• Measuring Campaign Effectiveness: Track the sentiment around your marketing campaigns in real-time and adjust your strategies based on the feedback you receive. This data-driven approach allows you to maximize the effectiveness of your marketing efforts.
• Identifying Emerging Trends: Sentiment analysis can help you spot early signs of emerging trends and customer preferences. By staying ahead of the curve, you can adapt your offerings and messaging to capitalize on new opportunities.
• Improving Employee Performance: Analyze employee feedback from surveys and reviews to identify areas for improvement in training, communication, and overall employee satisfaction. This can lead to a more engaged and productive workforce.
• Monitoring Crisis Situations: Sentiment analysis can be a valuable tool during a crisis to understand public perception and track the effectiveness of your response efforts. This information can help you regain trust and minimize reputational damage.
• Strengthening Brand Advocacy: When you address customer concerns and demonstrate you care about their feedback, you encourage them to become loyal advocates for your brand. Sentiment analysis helps you identify these opportunities and nurture lasting relationships with your customers.

How to Choose a Sentiment Analysis Tool for your Business?

Choosing a sentiment analysis tool involves considering the things it has to offer and ensuring that it aligns with your business goals. 

So, the first thing that you need to do is define your goals. 

1. Define your Goals

Clearly outline your objectives for sentiment analysis. Are you looking to monitor social media, customer feedback, or internal communications? Are you looking to set up a social media approval process? Understanding your goals will guide your tool selection.

2. Understand Your Data Sources

Identify the sources of data you want to analyze. Different tools may specialize in social media, customer reviews, surveys, or internal communication channels. Ensure the tool can handle the types of data relevant to your business.

3. Assess The Features of the Tool

Here are some key features of sentiment analysis tools that you can look out:

• Automatic Sentiment Classification: They automatically assign positive, negative, or neutral sentiment scores to text data, allowing you to quickly gauge the overall mood of conversations.
• Emotion Detection: Some tools delve deeper, identifying specific emotions like joy, anger, sadness, or trust within the text, giving you a richer understanding of user attitudes.
• Topic and Theme Analysis: They can identify key topics and themes emerging from large data sets, helping you pinpoint what people are talking about most and how your brand fits into the overall conversation.
• Real-time Monitoring: Some tools offer real-time monitoring of any positive or critical mention and sentiment, allowing you to stay on top of conversations and respond quickly to potential issues.
• Advanced Analytics: They offer various data visualization and reporting tools to analyze trends, compare datasets, and track sentiment changes over time.

4. Other Aspects of the Sentiment Analysis Tool to Consider

Apart from the features, there are various factors of any product that should be considered before choosing it for your business. 

Here are some of the factors:

• Customization and Flexibility: Choose a tool that allows you to customize the sentiment analysis model based on your industry or specific requirements.
• Ease of Integration: Check how easily the tool can be integrated into your existing systems. A seamless integration process will save time and resources.
• Multilingual Support: If your business operates in multiple languages, choose a sentiment analysis tool that supports the languages relevant to your audience.
• Scalability: Will the tool handle your current data volume and cater to future growth?
• User-Friendly Interface: Look for tools with intuitive dashboards and clear visualizations.
• Compliance and Security: Ensure that the sentiment analysis tool complies with data protection regulations and offers robust security features. 

Get Started with Sentiment Analysis

Sentiment analysis tools empower businesses to go beyond the surface-level metrics, truly understanding what customers think and feel. By embracing these tools, businesses can convert feedback into actionable insights, refine marketing strategies, improve products, and ultimately enhance customer satisfaction. So, if you want to decipher the unspoken emotions within your customer data, it's time to dive into the world of sentiment analysis.

Zonka Feedback offers a powerful sentiment analysis engine to help businesses analyze the sentiments, emotions, entities, and hidden nuances behind customer feedback. You can sign up for a free 14-day trial or simply schedule a demo to understand the tool better.