bobxwu/TopMost
A Topic Modeling System Toolkit (ACL 2024 Demo)
This system helps you understand the main subjects or themes within large collections of text documents, such as news articles, research papers, or customer reviews. You input your collection of documents, and it outputs a list of topics with their most representative words, along with which topics are present in each document. This is ideal for researchers, data analysts, or anyone needing to distill insights from extensive textual data.
286 stars. No commits in the last 6 months. Available on PyPI.
Use this if you need to automatically identify and categorize the core themes or subjects across a large body of text, like survey responses, academic literature, or product descriptions.
Not ideal if your primary goal is to perform sentiment analysis, named entity recognition, or highly granular text classification rather than broad topic discovery.
Stars
286
Forks
26
Language
Jupyter Notebook
License
Apache-2.0
Category
Last pushed
Oct 14, 2025
Commits (30d)
0
Dependencies
8
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/bobxwu/TopMost"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related tools
MIND-Lab/OCTIS
OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models...
i-dot-ai/themefinder
A topic modelling Python package for analysing one-to-many question-answer data.
andifunke/topic-labeling
The project proposes a framework to apply topic models on a text-corpus and eventually topic...
bab2min/tomotopy
Python package of Tomoto, the Topic Modeling Tool
AnFreTh/STREAM
ACL Python package engineered for seamless topic modeling, topic evaluation, and topic...