neural-topic-models

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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.

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

Updated Apr 4, 2022
Python

MIND-Lab / OCTIS

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OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)

nlp natural-language-processing hyperparameter-optimization topic-modeling nlp-library bayesian-optimization hyperparameter-tuning latent-dirichlet-allocation evaluation-metrics neural-topic-models latent-semantic-analysis topic-models hyperparameter-search non-negative-matrix-factorization nlproc

Updated Feb 26, 2022
Python

pbhatia243 / neural_topic_models

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neural_topic_models

tensorflow topic-modeling neural-topic-models

Updated Jan 9, 2017
Python

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