Data as of Aug 25, 2026 · Based on 3,181,687 AI responses across 10,525 prompts · See how Parse measures this
BERTopic is a modern topic modeling framework that uses transformer-based embeddings like BERT for contextual document understanding and clustering. Developed by Maarten Grootendorst, it combines dimensionality reduction with HDBSCAN clustering and class-based TF-IDF for interpretable topic representation.
Parse Score
#40 of 104 in Voice of Customer Text Analytics Platforms
Sources
arxiv.org shapes more of what AI says about BERTopic than any other source, at 69% of its citations.
abstractapi.com · aemcorp.com · mercity.ai · sprinklr.com
The market map
Voice of Customer Text Analytics Platforms →Where AI ranks BERTopic