ChatGPT User Review Analysis Project
Cleaned and analyzed 1,026,556 ChatGPT user reviews to assess sentiment and identify actionable feedback. Classified negative reviews by pain point and issue cause, and built a priority scoring framework to highlight key improvement areas such as stability, pricing, answer quality, and performance. Used SQL to find high-impact negative examples and produce sentiment distributions, summaries, and recommendation outputs for decision-making.