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

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

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

implemented : lsa, plsa, lda

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

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

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)

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.

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.

Topic Embedding, Text Generation and Modeling using diffusion

Code for On the Affinity, Rationality, and Diversity of Hierarchical Topic Modeling (AAAI 2024)

The official repository of TeamGabru.

Quality Metrics for Topic Modeling

Dynamic Dynamic Topic-Discourse Memory Networks (DTDMN)

Comparing the scalability and quality of topic models in Gensim and PySpark

Sentence Topic Prediction using Topic Modeling

This is the repository of the paper "Unsupervised Graph-based Topic Modeling from Video Transcriptions"