https://github.com/wbuntine/topic-models

Topic modelling software using non-parametric methods
https://github.com/wbuntine/topic-models

Last synced: 3 months ago
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Topic modelling software using non-parametric methods

• Host: GitHub
• URL: https://github.com/wbuntine/topic-models
• Owner: wbuntine
• License: mpl-2.0
• Created: 2014-05-05T03:23:02.000Z (over 10 years ago)
• Default Branch: master
• Last Pushed: 2016-08-16T00:10:26.000Z (about 8 years ago)
• Last Synced: 2024-04-08T02:57:17.728Z (7 months ago)
• Language: C
• Size: 7.24 MB
• Stars: 70
• Watchers: 12
• Forks: 21
• Open Issues: 3
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

• awesome-topic-models - hca - C implementation using Gibbs sampling with/without burstiness modelling (Models / Hierarchical Dirichlet Process (HDP) [:page_facing_up:](https://papers.nips.cc/paper/2004/file/fb4ab556bc42d6f0ee0f9e24ec4d1af0-Paper.pdf))

README

        
topic-models

============

Topic modelling software using non-parametric methods.

The best release is available on http://mloss.org, search for "hca".

The MLOSS version packages up two required software 

so is easier to install.

	https://github.com/wbuntine/topic-models

	https://github.com/wbuntine/libstb

Older versions of the code, and some data files are available from:

       http://www.nicta.com.au/people/buntinew/softwareanddata