Discovers "invisible threads" - non-obvious insights that connect across 300+ podcast episodes or a collection of essays using LLM extraction and graph-based clustering. Extract insights, find connections, discover patterns.
A Python framework for analyzing conversational dynamics using SentenceTransformers, BERTopic, and NetworkX. Features include a custom "Hybrid TextTiling" algorithm for topic boundary detection, Sankey diagram visualizations of narrative flow, and statistical metrics for measuring narrative pacing (velocity) and historical topic shifts (drift).
Add a description, image, and links to the podcast-analysis topic page so that developers can more easily learn about it.
To associate your repository with the podcast-analysis topic, visit your repo's landing page and select "manage topics."