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.).

1.3k 151 +0/wk

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

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stars 1.3k

forks 151

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Metric	contextualized-topic-models	detext	KGQA-Based-On-medicine	Transformers4Rec
Stars	1.3k	1.3k	1.3k	1.3k
Forks	151	134	288	159
Weekly Growth	+0	-1	+0	+2
Language	Python	Python	JavaScript	Python
Sources	1	1	1	1
License	MIT	BSD-2-Clause	N/A	Apache-2.0

Capability Radar vs detext

contextualized-topic-models

detext

Maintenance Activity 0

Last code push 259 days ago.

Community Engagement 60

Fork-to-star ratio: 11.9%. Active community forking and contributing.

Issue Burden 70

Issue data not yet available.

Growth Momentum 30

No measurable growth in the current period (first-day cold start expected).

License Clarity 95

Licensed under MIT. Permissive — safe for commercial use.

Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.