Text Analytics
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
Text Categorization Demystified: Does It Really Deliver on Advanced Analytics? (Part 3/5) Paid Members Public
Explore text categorization for analyzing feedback: its machine learning power, the crucial role of training data, and the four key challenges it faces in real-world applications.
Manual Rules for Text Analytics: Why They Often Miss the Mark (Part 2/5) Paid Members Public
Manual rules are a popular text analytics approach, but they have significant flaws. Discover why they struggle with multiple meanings, sentiment, and evolving language.
Word Spotting for Text Analytics: Quick & Dirty (But When Does It Fail?) (Part 1/5) Paid Members Public
Is 'word spotting' a valid text analytics method? Learn its pros, cons, and when it's actually useful (hint: rarely for serious insights). Discover better alternatives.