There are 11 repositories under topic-models topic.
OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)
✨ 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 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"
How are topics encoded in semantic space? Repository to accompany PNAS article: https://www.pnas.org/doi/10.1073/pnas.2108801119
Abstractive Multi-Document Summarisation, generating Wikipedia lead sections for specific domains. Exploiting target summaries content structure. Specific categories from WikiSum dataset.
Topic-Specific Diagnostics for LDA and CTM Topic Models
This repository is designed for students in DIGI405 at the University of Canterbury to do topic modeling through their browser using Google Colab. It is relevant for others who want to do topic modeling through a browser with their own corpus.
Application of topic models for topic extraction and similarity search
Topic Embedding, Text Generation and Modeling using diffusion
[AAAI2019] AutoSense Model for Word Sense Induction
Semi supervised Topic Modeling using Neural Network
Code for On the Affinity, Rationality, and Diversity of Hierarchical Topic Modeling (AAAI 2024)
A rolling version of the Latent Dirichlet Allocation.
The objective of this project is to monitor the trends in data science job opportunities. We achieve this through scraping of the jobserve website.
Quality Metrics for Topic Modeling
Determine a Prototype from a number of runs of Latent Dirichlet Allocation.
Dynamic Dynamic Topic-Discourse Memory Networks (DTDMN)
LABS Final Project: Yelp_GoogleMaps_Reviews - Roles: Data Engineer, Data Analyst, Machine Learning Engineer, Data Scientist | Bootcamp Henry: Data Science Career | DataFT Cohort 17
Comparing the scalability and quality of topic models in Gensim and PySpark