Concept information
Preferred term
BERTopic
Definition(s)
- "BERTopic is a topic modeling technique that leverages transformers and c-TF-IDF to create dense clusters allowing for easily interpretable topics whilst keeping important words in the topic descriptions." (source: https://github.com/MaartenGr/BERTopic).
Broader concept(s)
Bibliographic citation(s)
- • Grootendorst, M. (2022). BERTopic: Neural topic modeling with a class-based TF-IDF procedure (arXiv:2203.05794). arXiv. https://doi.org/10.48550/arXiv.2203.05794
based on
has application field
has design country
- Netherlands
has for input language
has repository
implements
is encoded in
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In other languages
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French
URI
http://data.loterre.fr/ark:/67375/LTK-GH9G13TM-W
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