MilaNLProc / contextualized-topic-models

A python package to run contextualized topic modeling. CTMs combine contextualized embeddings (e.g., BERT) with topic models to get coherent topics. Published at EACL and ACL 2021 (Bianchi et al.).

Date Created 2020-04-04 (4 years ago)

Commits 569 (last one 4 months ago)

Stargazers 1,176 (1 this week)

Watchers 17 (0 this week)

Forks 140

License mit

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RepositoryStats indexes 523,840 repositories, of these MilaNLProc/contextualized-topic-models is ranked #41,280 (92nd percentile) for total stargazers, and #125,879 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #6,205/100,813.

MilaNLProc/contextualized-topic-models is also tagged with popular topics, for these it's ranked: nlp (#293/2227), transformer (#96/896), bert (#82/530), embeddings (#34/287)

Other Information

MilaNLProc/contextualized-topic-models has 3 open pull requests on Github, 37 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 7 open issues and 100 closed issues.

All Topics

nlp bert embeddings nlp-library transformer text-as-data topic-modeling topic-coherence multilingual-models neural-topic-models nlp-machine-learning multilingual-topic-models

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updated: 2024-05-28 @ 12:41pm, id: 253079431 / R_kgDODxWvhw