Text Analytics
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.