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

topmost

A Topic Modeling System Toolkit (ACL 2024 Demo)

fastopic

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

antm

Aligned Neural Topic Model (ANTM) for Exploring Evolving Topics: a dynamic neural topic model that uses document embeddings (data2vec) to compute clusters of semantically similar documents at different periods, and aligns document clusters to represent topic evolution.

stream-topic

A python package for expanded topic modeling and metrics