MaartenGr / BERTopic
Leveraging BERT and c-TF-IDF to create easily interpretable topics.
Why this job: works in the areas we cover, but does not say which job it does
What it does
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.
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uv add bertopic- Maintenance
- Active
- Last commit 2 months ago
- Stars
- 7,956
- +23 this week
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v0.17.4
- Released 11 months ago
- Built with
- Python
- 100% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 76% closed
- 441 still open
- Pull requests
- 201 merged
- 39 waiting
- Releases
- 38
- 2 in the last year
- Contributing guide (opens in new tab)
- No security policy
- No code of conduct
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| Repo | Stars | Last commit | Licence | Downloads for |
|---|---|---|---|---|
| AnswerDotAI / ModernBERT | 1,781 | 8 months ago | Apache-2.0 | No downloads |
| chtmp223 / topicGPT | 425 | 6 months ago | MIT | No downloads |
| ben1234560 / AiLearning-Theory-Applying | 3,590 | 25 days ago | MIT | No downloads |
More: languages, topics, project record and preview image
Languages
- Python 100%
- Makefile <1%
Topics
- bert
- transformers
- topic-modeling
- sentence-embeddings
- nlp
- machine-learning
- topic
- ldavis
- topic-modelling
- topic-models
Project record
- JobOther AI tools
- StatusListed
- Commits251
- Forks932
- Watching54
- Stars in 28 days+64
- CreatedSep 22, 2020
- First seen by usNov 7, 2026
- CheckedNov 8, 2026