ChatGPT Reviews Analysis — Python

Overview

Sentiment and trend analysis on ChatGPT user review data to understand satisfaction levels, common issues, and feature feedback patterns.

Problem Statement

Understanding what users love or dislike about AI products helps product teams prioritize improvements.

Tools Used

• Python (Pandas, Matplotlib, Seaborn)
• NLP techniques for sentiment scoring
• Jupyter Notebook

Key Findings

• Identified top positive and negative sentiment themes
• Analyzed rating trends over time
• Segmented feedback by user type and use case

How to Run

pip install pandas matplotlib seaborn jupyter notebook Chatgpt_Reviews_Analysis.ipynb