Unveiling Clustering in BERTopic Topic Modeling
Explore the intricacies of clustering in BERTopic topic modeling through this 27-minute conference talk from Conf42 ML 2023. Delve into the world of topic modeling use cases, understand why BERTopic is a preferred choice, and examine its end-to-end flow. Learn about HDBSCAN clustering algorithm, its foundations in DBSCAN, and how it utilizes k-NN and minimum spanning trees to define density-based spatial clustering. Discover the concept of stability score "λ" and its role in determining final clusters. Analyze HDBSCAN's performance, strengths, and weaknesses through a practical demo and comprehensive explanation. Gain insights into future scope and access valuable references for further exploration of this powerful topic modeling technique.