smacawi/bert-topics
Bridging the gap between supervised classification and unsupervised topic modelling for social-media assisted crisis management (Adapt-NLP EACL 2021)
When a crisis hits, this helps emergency response teams quickly understand the main topics emerging from social media messages. It takes in a stream of social media text, like tweets during a snowstorm, and identifies key themes and categories. This is for crisis managers, social media analysts in public service, or emergency responders who need to make sense of large volumes of real-time public sentiment.
No commits in the last 6 months.
Use this if you need to rapidly categorize and understand the dominant subjects within social media data during an unfolding crisis or event.
Not ideal if you're looking for a general-purpose topic modeling tool for everyday text analysis that isn't focused on crisis management.
Stars
8
Forks
4
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Apr 20, 2021
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/smacawi/bert-topics"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
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
bobxwu/TopMost
A Topic Modeling System Toolkit (ACL 2024 Demo)