Leveraging BERT and c-TF-IDF to create easily interpretable topics.

A Toolkit for Industrial Topic Modeling

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

Python package of Tomoto, the Topic Modeling Tool

A Topic Modeling System Toolkit

Biterm Topic Model

An R package for Keyword Assisted Topic Models

implemented : lsa, plsa, lda

✨ Awesome - A curated list of amazing Topic Models (implementations, libraries, and resources)

A package to run embedded topic modelling with ETM. Adapted from the original at: https://github.com/adjidieng/ETM

A Java package for the LDA and DMM topic models

Biterm Topic Model (BTM): modeling topics in short texts

Papers of Neural Topic Models (NTMs)

A Latent Dirichlet Allocation implementation in Python.

A collection of topic diversity measures for topic modeling

Code for Effective Neural Topic Modeling with Embedding Clustering Regularization (ICML2023)

A versatile 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.

Repo for EMNLP 2020 paper, "Improving Neural Topic Models using Knowledge Distillation"

Abstractive Multi-Document Summarisation, generating Wikipedia lead sections for specific domains. Exploiting target summaries content structure. Specific categories from WikiSum dataset.

How are topics encoded in semantic space? Repository to accompany PNAS article: https://www.pnas.org/doi/10.1073/pnas.2108801119