Leveraging BERT and c-TF-IDF to create easily interpretable topics.
Identify and create understandable topics from text data using advanced topic modeling techniques.
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BERTopic has 7.7k stars on GitHub. It has been forked 909 times. BERTopic is written mainly in Python. It has been in active development since 2020. BERTopic is available under the MIT license. Its main topics are bert, ldavis, machine-learning, nlp.
Leveraging BERT and c-TF-IDF to create easily interpretable topics.
BERTopic is an open-source project. It is released under the MIT license.
Yes. BERTopic is free and open source — you can use, modify and self-host it.
BERTopic is available under the MIT license.
BERTopic is written mainly in Python.
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Measured from GitHub topics shared by both projects, weighted by how rare each topic is.