Neural Topic Models Python Packages

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.).

octis

OCTIS: a library for Optimizing and Comparing Topic Models.

topmost

Topmost: A Topic Modeling System Toolkit

fastopic

A Fast, Adaptive, Stable, and Transferable Topic Model (NeurIPS 2024)

antm

Aligned Neural Topic Model for Exploring Evolving Topics

stream-topic

ACL Python package engineered for seamless topic modeling, topic evaluation, and topic visualization. Ideal for text analysis, natural language processing (NLP), and research in the social sciences, STREAM simplifies the extraction, interpretation, and visualization of topics from large, complex datasets.