CT
contextualized-topic-models
NLP·infrastructure·open·#729 of 944·+70·Surging
63.0
Low
High confidence
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.).
Pillar Breakdown
Adoption
35%
60.4
Maintenance
30%
66.8
Friction
20%
99.9
Ecosystem
15%
32.6
Momentum
1.00Surging
7d change +1.91
High confidenceIn NLP
Ranked #26 of 32