https://github.com/WHUIR/SATM

Our Java implementation of Self-Aggregation-Based Topic Model (SATM)
https://github.com/WHUIR/SATM

short-text topic-modeling

Last synced: about 2 months ago
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Our Java implementation of Self-Aggregation-Based Topic Model (SATM)

• Host: GitHub
• URL: https://github.com/WHUIR/SATM
• Owner: WHUIR
• Created: 2017-11-11T03:35:18.000Z (almost 7 years ago)
• Default Branch: master
• Last Pushed: 2022-11-04T14:28:20.000Z (almost 2 years ago)
• Last Synced: 2024-04-09T03:01:22.735Z (6 months ago)
• Topics: short-text, topic-modeling
• Language: Java
• Size: 28.3 KB
• Stars: 8
• Watchers: 1
• Forks: 7
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

• awesome-topic-models - SATM - Java implementation of Self-Aggregation Topic Model [:page_facing_up:](https://dl.acm.org/doi/10.5555/2832415.2832564) (Models / Topic Models for short documents)

README

        
# SATM

Our Java implementation of Self-Aggregation-Based Topic Model (SATM).

SATM is a short text topic modeling algorithm published in AAAI at 2015, the paper's name is : Short and sparse text topic modeling via self-aggregation.

The hyper-parameter settings and the way of loading dataset are included in src/Main.java , you should read it and change some codes(if necessary) before you apply it.

Wish our code can help your research.