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Author:
Maarten P. Grootendorst
License:
MIT License
Copyright (c) 2024, Maarten P. Grootendorst
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and...
Summary:
BERTopic performs topic Modeling with state-of-the-art transformer models.
Latest version:
0.17.4
Required dependencies:
hdbscan
|
llvmlite
|
numpy
|
pandas
|
plotly
|
scikit-learn
|
sentence-transformers
|
tqdm
|
umap-learn
Optional dependencies:
accelerate
|
bertopic
|
datamapplot
|
fastembed
|
flair
|
gensim
|
matplotlib
|
mkdocs
|
mkdocs-material
|
mkdocstrings
|
mkdocstrings-python
|
pillow
|
pytest
|
pytest-cov
|
ruff
|
spacy
|
tensorflow
|
tensorflow-hub
|
tensorflow-text
|
torch
|
transformers
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