Top 12 – Best Text Analysis Software

Top 12 - Best Text Analysis Software

Text Analysis Software is a type of software that helps users to analyze text and extract meaningful insights from it. It can be used for a variety of tasks, such as extracting keywords and phrases, understanding sentiment, summarizing large texts, or extracting entities like people, places, or organizations.

Text Analysis Software can be applied in many fields including customer feedback analysis, market research, and opinion mining.

This type of software often uses natural language processing (NLP) and machine learning techniques to process the text data which allows it to understand more complex relationships between words than traditional keyword-based search algorithms are capable of.

If you’re looking for the best Text Analysis Software, you’ve come to the right place. We’ve compiled a list of the top options on the market, so you can find the perfect one for your needs.

Here are our top picks for Text Analysis Software

1. Chattermill

Chattermill is a text analysis software that uses artificial intelligence to help companies understand their customers better.

By analyzing customer feedback and support interactions, companies can get valuable insights into how they can improve their customer experience and drive business growth.

With Chattermill, companies have access to powerful analytics tools that enable them to identify areas for improvement in order to boost customer loyalty and brand advocacy.

2. Relative Insight

Relative Insight is a text analysis software that uses AI to help brands and agencies generate insights from customer, target audience, and competitor data.

The platform provides a scalable solution for uncovering actionable insights from social listening conversations, survey responses, reviews, and customer service transcripts.

The software uses comparative analysis to reveal what makes audience groups and brands unique and similar to one another, providing insights that can be used to inform marketing messaging, product development, customer service strategy, and more.

3. Forsta

Forsta is a company that provides a technology platform called the HX (Human Experience) Platform.

This platform is designed to help companies get a deeper understanding of the experiences of their customers and employees.

The HX Platform gathers and analyzes data, and translates the findings into shareable actions to inform decision-making and drive growth.

Forsta’s technology, combined with its team of expert consultants, serves organizations across a variety of industries including financial services, healthcare, hospitality, market research, professional services, retail, and technology.

4. RapidMiner

RapidMiner is a comprehensive and powerful data science platform that allows organizations to quickly and easily transform their data into actionable insights.

It provides easy-to-use tools for all levels of analytics users, from the novice to the experienced practitioner, enabling them to create sophisticated models with minimal effort.

The platform also offers an extensive library of tutorials, courses, videos, and other resources to help users quickly become proficient in constructing high-quality AI solutions. With RapidMiner’s enterprise-grade capabilities it can be used by large businesses to make complex decisions faster than ever before possible.

5. IBM Watson Studio

IBM Watson Studio on IBM Cloud Pak for Data is a top data science/ML solution that accelerates AI-powered digital transformation. Automate the AI lifecycle, explore & prep data, optimize decisions and manage model risk. Code-optional platform w/ AutoAI, Text Analytics, SPSS Modeler, flat files/spreadsheets access, Python 3 Notebooks & stunning visualizations; deployable via cloud pak or service.

6. Thematic

Thematic is an AI-powered feedback analytics solution that helps companies grow through customer-led insights.

It automatically analyzes every comment, from any channel in real-time, so businesses can identify issues before they lead to churn.

Thematic doesn’t require manual coding, making it easy for product, operations and insights teams to be aligned on the same priorities and issues to fix.

Top brands such as LinkedIn and DoorDash are already taking advantage of this software’s powerful capabilities and its ability to deliver accurate results quickly.

7. Kapiche

Kapiche is a feedback analytics platform that analyzes customer feedback quickly, allowing you to provide deep insights and help your company make better decisions.

With Kapiche, you can get insights 30x faster, easily measure the impact of themes on customer experience (CX) metrics, drill down to identify root causes, and be notified about new trends in customer feedback.

Kapiche also helps you share insights across your organization with confidence.

8. Canvs AI

Canvs AI is the perfect tool for extracting meaningful insights from text-based data. It uses sophisticated natural language processing (NLP) algorithms to quickly and accurately analyze unstructured data, such as social media posts, emails, surveys, and more.

By leveraging its powerful machine learning capabilities, it can help organizations better understand their customers’ needs and wants in a fraction of the time it would take humans to manually go through each piece of text.

In addition to providing valuable analytics about customer sentiment, Canvs AI also offers solutions that enable users to discover trends within large datasets and identify topics that are being discussed across different networks.

This makes it an ideal platform for companies looking to gain real-time insights into what their consumers think or feel about certain products or services.

Furthermore, its intuitive user interface allows businesses of all sizes with varying levels of technical expertise to access these features without needing any specialized training or knowledge.

9. is a platform that allows customer support teams to build AI models to improve and automate support processes. It integrates with Zendesk and Salesforce and takes care of tedious and manual tasks so that agents can focus on the customer.

Customers are using Lang for the following use cases, and with our plug-and-play technology, they can be up and running in 48 hours with no model training or maintenance required.

10. Amazon Comprehend

Amazon Comprehend is a powerful machine-learning tool that can be used to analyze text and gain valuable insights.

It uses natural language processing (NLP) to quickly process large amounts of data, identifying the language in which it is written, extracting key phrases and entities from the text, understanding its sentiment, and even clustering documents by topic.

With this tool, you can quickly get an overview of how users feel about your product or service, identify trends in customer feedback or reviews, and even detect potential frauds or anomalies in emails or other textual data sources.

The possibilities are endless when using Amazon Comprehend’s sophisticated algorithms for text analysis.

11. Stratifyd

Stratifyd is the only next-gen experience analytics platform powered by Smart AI™, a groundbreaking technology that provides insights previously unavailable through traditional customer experience analytics.

Stratifyd Smart AI™ takes manual analysis out of the equation and proactively searches for key signals and themes 24/7 so you can make data-driven decisions with confidence.

Organizations of all sizes can benefit from Stratifyd’s sophisticated approach to unlocking actionable insights from their data sources.

With this powerful tool, teams are empowered to monitor mission-critical KPIs, grow revenue, boost loyalty, reduce costs and increase efficiency more effectively than ever before.

12. InMoment Text Analytics

Understand customer voice with Wootric CXInsight™. Get ROI from qualitative feedback, instantly.

Use machine learning to auto-categorize and assign sentiment in any language, from any source. Visualize data by any business driver and create a tag hierarchy.

Automatically alert stakeholders to changes in feedback trends so they can address issues quickly.

Easily investigate hypotheses without a data analyst and import feedback from any source for a unified view of customer/employee sentiment.