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Classroom Contents
Unveiling Clustering in BERTopic Topic Modeling
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- 1 intro
- 2 preface
- 3 who are we?
- 4 agenda
- 5 topic modeling use case
- 6 why bertopic?
- 7 bertopic end-to-end flow
- 8 clustering
- 9 dataset description
- 10 demo
- 11 what is hdbscan?
- 12 to understand hdbscan we need to know dbscan
- 13 what if there was no fixed radius?
- 14 k-nn algorithm to define radius
- 15 minimum spanning tree finds density and hierachy
- 16 density based spatial clustering
- 17 stability score "λ"
- 18 final clusters
- 19 hdbscan steps
- 20 hdbscan - performance comparison
- 21 hdbscan - strenghts and weaknesses
- 22 conclusion and future scope
- 23 references & ressources
- 24 thank you
