In today’s data-driven world, businesses are swimming in unstructured data—think customer reviews, emails, and social media posts. Did you know this type of data accounts for a whopping 80% of enterprise data?

Without the right tools, all that potential goes untapped. Enter the power of text analysis. With the right text analytics software, you can transform unstructured feedback into valuable insights, turning chaos into clarity and enabling smarter decisions.

Of course, finding the right solutions can be exhausting with so many tools out there. So we curated the best text analytics software that could turn your data into actionable insights and help you make an informed choice.

Let’s go!

Features to Look For in Text Analytics Tools

Choosing the right text analytics tool starts with understanding the features that matter most. A user-friendly interface is essential—after all, not everyone on your team is a data scientist. The best tools make it easy for non-technical users to analyze text without getting overwhelmed by complexity.

Real-time processing is another must-have. Imagine being able to spot trends and customer concerns as they happen. Whether it’s social media feedback or surv

ey results, near-instant analysis helps you stay ahead of the curve. This is especially useful when tackling trend identification for quick decision-making.

Integration across data sources, from CRM systems to emails and surveys, is another must-have. Tools that handle qualitative data analysis with ease ensure all your feedback—structured or unstructured—works together for more comprehensive insights.

Customizable outputs allow you to tailor dashboards and reports to your specific goals. Want insights into recurring themes or customer sentiment? A flexible analytics platform ensures you get what you need.

Finally, scalability is key. Scalability matters, too. As businesses grow, so does the volume of feedback they collect. The best tools adapt while leveraging natural language understanding and advanced AI to extract actionable insights from unstructured text data efficiently.

As your organization grows, so will your data needs. A robust tool should handle increasing volumes while leveraging AI and natural language understanding for deeper insights from unstructured text data.

By prioritizing these features, you can transform feedback into action and drive your business forward.

Top Text Analytics Tools

Text analytics is complex, and not all solutions are equal. You could consider building an in-house solution - but this will take considerable time and resources. So, choosing the right tools can make all the difference.

With the explosion of social media data and customer feedback, having platforms that specialize in natural language processing NLP and actionable insights is no longer optional.

The best text analytics software demonstrates why text analytics is important for understanding customers better and making smarter decisions.

Keep your core needs in mind as you dive into our list of the best text analytics software platforms - after all, you don’t want to end up with useless word clouds!

#1 Thematic: Transforming Feedback into Insight

Businesses today deal with mountains of feedback from customers—think surveys, reviews, and social media comments. Making sense of all this unstructured data requires advanced tools. Thematic is an NLP-powered platform that excels at turning customer feedback into actionable insights. By focusing on thematic text analytics, the platform identifies recurring themes and patterns, enabling businesses to make informed decisions faster.

One of Thematic’s strengths is its ability to perform sentiment analysis entity recognition, giving you insights not just into what customers are saying, but how they feel about it. Its features, powered by natural language processing NLP, are designed to simplify the process of extracting key insights from unstructured data.

Key Features

• Automated Theme Discovery: Detects recurring themes in customer feedback without manual tagging, leveraging the power of thematic tag and theme tools.
• Sentiment Analysis and Entity Recognition: Understand emotional tones and pinpoint specific topics that matter most to your customers.
• Real-Time Insights: Provides instant feedback analysis, allowing businesses to act quickly.
• Seamless Integrations: Thematic integrates with platforms like CRMs and surveys, ensuring smooth data flow and adaptability for Thematic connect.
• Generative AI: Offers predictive insights and trends, revolutionizing customer experience strategies. It uses AI to theme qualitative data.
• Customizable Dashboards: Through Thematic insights, tailor analytics to suit your organization’s unique goals.
• Conversational Analytics: Analyzes chat and speech data to uncover deeper customer perspectives.

By combining advanced machine learning with user-friendly designs, Thematic makes analyzing feedback intuitive and impactful. Learn more about Thematic’s functionality and explore the role of Thematic text analytics in uncovering key business trends.

Text analytics approach:

Thematic uses Natural Language Processing to automate sentiment analysis and thematic analysis. The algorithm learns on its own, and does not require pre-defined categories or annotated data. Thematic discovers themes bottom-up: this means it can identify ‘unknown unknowns’ in your data as well as new, emerging and existing themes.

Thematic’s themes model is flexible, and editable - it’s designed to be enhanced with human input. You can add, merge, or delete themes to ensure insights are as specific and actionable as possible.

How long does it take to get up and running?

It’s quick and easy to get set up - usually a couple of days to a week.

What data sources are supported?

You can add every source of feedback into Thematic: internal (surveys, contact center, support tickets, complaints, CRM notes) and external (review sites, forums, social media). Our data onboarding is easy and secure. Thematic has several native integrations that pull data continuously, as well as its own API. The platform supports CSV and sFTP, and the team can help you set up custom integrations as needed.

Self service / ease of use:

Thematic is an intuitive, collaborative platform that the whole company can use - you don’t need to be a data scientist! User roles and permissions are customizable so everyone can access the insights they need. You can tailor insights to product, CX, operations and the executive team within minutes - and our CS team is always able to lend a hand.

#2 RapidMiner: Versatile Data Science Platform

RapidMiner is a comprehensive text analysis software tailored for data scientists and analysts. Known for its versatility, the platform supports both structured and insights from textual data, allowing users to seamlessly work with a variety of sources, from emails to large-scale databases.

Key Features

• Machine Learning Models: RapidMiner integrates advanced ML capabilities, empowering users to build and deploy predictive models efficiently.
• Customizable Workflows: The platform offers flexibility, enabling users to design workflows that align with their specific business needs.
• Support for Diverse Data Types: Whether you’re working with structured datasets or unstructured feedback, RapidMiner handles it all effortlessly.

With its focus on flexibility and scalability, RapidMiner allows users to manage and analyze text data without limitations. Its ability to integrate machine learning with text analytics makes it a go-to tool for extracting deep insights and driving smarter decisions.

#3 Chattermill: Customer Feedback Made Simple

Chattermill is a platform designed specifically to make sense of customer feedback. By focusing on predefined taxonomies and leveraging AI, it helps businesses uncover meaningful insights from unstructured text data like surveys, customer service logs, and reviews on social media.

Key Features

• Predefined Taxonomies: Streamlines the organization of customer feedback, saving time and ensuring consistency across analyses.
• Sentiment Analysis: Detects customer emotions and sentiments, helping businesses understand how customers feel about their experiences.
• Actionable Insights: Identifies key trends and pain points, enabling businesses to make impactful changes quickly.

With its strong emphasis on natural language understanding, Chattermill goes beyond the surface to help businesses figure out what’s driving customer satisfaction—or dissatisfaction. It’s a tool that helps companies take feedback and turn it into tangible improvements, one insight at a time.

#4 Kapiche: Simplifying Customer Insights

Kapiche is an AI-driven analytics platform built to make sense of customer data without relying on predefined taxonomies. Unlike other text analysis tools, it gives users the flexibility to discover insights on their own terms, making it ideal for businesses that value simplicity and adaptability.

Key Features

• No Predefined Taxonomies: Allows businesses to explore their data freely, uncovering patterns and themes without the constraints of fixed frameworks.
• Customizable Insights: Tailors analysis to match specific business needs, ensuring the results are actionable and aligned with strategic goals.
• User-Friendly Interface: Designed to make analyzing text data intuitive, even for those without technical expertise.Kapiche combines powerful AI with a user friendly interface, enabling businesses to focus on understanding what their customers are really saying. Whether you’re identifying trends or addressing pain points, this tool empowers teams to turn customer feedback into meaningful actions.

#5 Lexalytics: Advanced NLP for Deep Insights

Lexalytics is a powerful natural language processing NLP platform designed to help businesses dive deep into their text data. By combining sentiment analysis entity recognition with customizable features, it transforms raw feedback into actionable insights. Whether you're analyzing product reviews, customer surveys, or support logs, Lexalytics provides the tools to uncover patterns and trends with ease.

Key Features

• Sentiment and Entity Analysis: Captures the emotions behind customer feedback and identifies specific entities like products, locations, or services mentioned.
• Customizable Models: Adapts to your unique needs, offering flexibility to fine-tune the system for industry-specific applications.
• Intuitive Dashboards: Simplifies complex data, delivering insights from textual data in a clear and accessible format.

Lexalytics’ focus on NLP and advanced analytics ensures that businesses can better understand what their customers are saying and feeling. Its user-friendly approach and customizable options make it a standout choice for teams looking to transform feedback into meaningful strategies.

#6 Google Natural Language AI: Flexible Text Analytics

Google Natural Language AI is a robust solution for businesses looking to analyze unstructured data with ease. Built on advanced natural language processing NLP technology, it offers a combination of pretrained models and customizable capabilities, making it ideal for extracting insights from diverse sources like emails, reviews, and documents.

Key Features

• Pretrained Models: Quickly implement text analysis without starting from scratch, perfect for businesses needing fast results.
• Custom NLP Capabilities: Tailor the analysis to suit your specific needs, ensuring highly relevant and actionable outcomes.
• Extensive Integration Options: Works seamlessly with other Google tools and platforms, making it a versatile choice for various workflows.

Google Natural Language AI excels at trend identification, helping businesses uncover patterns and emerging themes within their data. Whether you're performing sentiment analysis or categorizing text, this tool’s flexibility and power make it a go-to for efficient and reliable text analytics.

Thematic

AI-powered software to transform qualitative data into powerful insights that drive decision making.

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#7 MonkeyLearn: Easy and Efficient Text Analysis

MonkeyLearn is a low-code text analysis software designed to make text processing accessible to everyone. Whether you're a data expert or a beginner, this platform simplifies the process of analyzing feedback, reviews, or any other unstructured data. Its focus on usability, paired with powerful machine learning models, helps businesses extract actionable insights with ease.

Key Features

• Text Classification: Categorize text into predefined labels, streamlining the organization of your data.
• Keyword Extraction: Quickly identify the most important terms in your datasets to uncover key trends.
• Seamless Integration: Works effortlessly with tools like Excel, Google Sheets, and CRMs, ensuring smooth workflows.

MonkeyLearn strikes the perfect balance between simplicity and functionality. Its powerful machine learning models ensure accurate and efficient text processing, while its low-code design makes it ideal for teams looking to adopt text analysis software without steep learning curves.

#8 Qualtrics XM Discover (formerly Clarabridge)

Qualtrics XM Discover is an all-in-one platform built to help businesses unlock deep insights into the customer experience. By analyzing feedback from surveys, support tickets, and even social media data, it transforms raw input into actionable strategies. This platform leverages advanced natural language understanding to interpret what customers are saying—and why they’re saying it.

Key Features

• Root Cause Analysis: Pinpoints the underlying reasons behind customer behaviors and trends.
• Industry-Specific Templates: Offers pre-built models tailored to unique business needs, simplifying the setup process.
• Seamless Integration: Works seamlessly with the Qualtrics ecosystem, combining insights from surveys, unstructured text data, and more.

With its ability to handle insights from unstructured text data, Qualtrics XM Discover makes it easy for teams to understand customer needs across channels. Whether it's social media data or internal feedback, this tool brings clarity to complex data, helping businesses create impactful experiences.

Quick Tips for Choosing the Right Text Analytics Tool

The big data and analytics market is set to grow to $693 billion by 2032 as more businesses turn  data into action. Choosing the right analytics platform is crucial here. With the overwhelming variety of options available, you must focus on what really matters.

Here are some steps to guide your decision:

• Define Your Business Goals: Understand what you want to achieve. Are you aiming to improve customer satisfaction, track trends, or address pain points? Your objectives will dictate the features you need.
• Evaluate Budget and Scalability: Ensure the tool fits your current budget but can also grow with your business. A scalable platform will adapt as your data volume increases.
• Assess Data and Integration Needs: Consider the types of data you’ll analyze, such as surveys, emails, or social media. Look for tools that can integrate seamlessly with your existing systems.
• Pilot Test Tools: Shortlist your options and test them with real-world data. Evaluate how effectively they provide valuable insights and whether they meet your unique requirements.

By following these steps, you’ll be well-equipped to choose a tool that turns your data into actionable insights and supports your business goals.

Real-World Applications of Text Analytics

Text analytics has become a cornerstone for businesses aiming to understand their customers better. By analyzing social media data, customer reviews, and surveys, companies can unlock valuable insights into what drives satisfaction and improvement.

This is why thematic analysis software has become essential for organizations looking to harness the power of text analysis to make smarter decisions.

The examples below illustrate why text analytics is important for any business looking to understand customer needs and stay ahead in competitive markets.

Vodafone: Transforming Customer Experience

Vodafone used text analytics to efficiently process and analyze customer feedback, identifying key pain points and addressing them proactively. By focusing on trend identification in customer interactions, Vodafone improved satisfaction across their customer-facing teams.

Read more in the Vodafone Case Study.

DoorDash: Enhancing Product Offerings

DoorDash utilized Thematic to analyze reviews on social media and other feedback channels, uncovering trends in customer sentiment. These insights helped refine their product offerings, ensuring they stayed aligned with customer expectations.

Explore the full story in the DoorDash Case Study.

Instacart: Optimizing Feedback Loops

Instacart demonstrated the power of text analysis by using advanced tools to streamline their feedback loops. They leveraged insights from unstructured data to make quick, impactful changes to their services.

Learn more about their journey in the Instacart Case Study.

Unlock Insights with the Best Text Analytics Software

Choosing the best text analytics software can transform how your business understands customer feedback. With the right tool, you can uncover trends, analyze social media data, and turn unstructured input into meaningful actions. From automated insights to seamless integrations, the featured tools in this guide highlight the power of text analysis to drive smarter decisions and improve customer experiences.

Ready to elevate your strategy? Explore these tools and see how they fit your needs. Try Thematic on your own data to experience its capabilities firsthand.

The future of customer understanding starts here!