Discovering the core themes of user reviews has never been this quick and easy. Using code interpreter with GPT, I streamlined the analysis of hundreds of reviews. Here’s how:
Fast-Track Selection: Out of around 700 recent reviews, I zeroed in on five-star ones with GPT’s help.
Deep Dive into Content: Examined both the headlines and body text of these reviews.
Word Analysis: Identified specific words, bigrams (two-word combinations), and trigrams (three-word combinations).
Topic Segregation: Requested GPT to categorize these into clear topics using LDA, followed by a concise summary for each.
Spotting Patterns: Investigated the proportions of each topic and then nudged GPT to highlight overlapping themes.
The outcome? A clear, efficient insight into user sentiments and preferences. For me, it’s a quick accurate and easy way to understand what people are thinking
Brendan McNulty 