BERTopic: Topic Modeling using Transformers in NLP

Опубликовано: 20 Июнь 2026
на канале: TechViz - The Data Science Guy
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#bert #topicmodel #Shorts
BERTopic is a topic modeling technique that leverages BERT embeddings and a class-based TF-IDF to create dense clusters allowing for easily interpretable topics whilst keeping important words in the topic descriptions.

BERTopic Github: https://github.com/MaartenGr/BERTopic/
Author: Maarten Grootendorst (  / mgrootendorst  )
HDBSCAN - https://hdbscan.readthedocs.io/en/lat...
UMAP - https://umap-learn.readthedocs.io/en/...

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