Text Analytics
Text Analytics vs. Sentiment Analysis: Understanding the Key Differences Paid Members Public
Explore the key differences between text analytics and sentiment analysis, their methods, and their business applications.
What is Text Analytics? Your Beginner’s Guide to Transforming Data into Insight Paid Members Public
Discover what text analytics is, how it differs from related terms, and explore its tools, techniques, and technologies.
10 Ways Your Business Benefits from Text Analytics Paid Members Public
Explore the top benefits of text analytics, from customer insights to real-time decision-making and improved service
The Ultimate Guide to Text Analytics: Transforming Data into Business Intelligence Paid Members Public
Learn how text analytics transforms unstructured data into actionable insights for enhanced customer experience.
Voice of Customer Examples: How Different Industries Use VoC Insights Paid Members Public
Explore real-world examples of how various industries can use voice of the customer (VOC) insights to improve CX and business performance.
Why Thematic is superior to OpenAI for analyzing feedback Paid Members Public
ChatGPT is a powerful tool but isn't capable of the accurate and detailed analysis you can achieve with a specialized feedback analysis tool. Discover how ChatGPT can help, what to watch out for and how to overcome the limitations with Thematic.
Thematic Analysis for Feedback: The Secret Weapon Most Companies Miss (Part 5/5) Paid Members Public
Discover Thematic Analysis, the ONLY text analysis approach that's accurate, fast, and transparent. Learn how it outperforms other methods and uncovers hidden insights in your feedback.
Topic Modeling for Text Analysis: The Hype vs. Reality (Part 4/5) Paid Members Public
This is the 4th article in my series of Text Analytics posts explaining popular approaches to feedback analysis. Last week, we talked about text categorization, a Machine Learning approach that requires training data. We concluded that it can’t detect emerging themes in people’s feedback and that it’s