Description:

This software implements the DeltaLDA model, which is a modification of the Latent Dirichlet Allocation (LDA) model. DeltaLDA can use multiple topic mixing weight priors to jointly model multiple corpora with a shared set of topics. The inference method is Collapsed Gibbs sampling. The program can also be used to do "standard" LDA as a special case, and is implemented as a Python C extension module.

Changes to previous version:

-fixed some npy_intp[] memory leaks -fixed phi normalization bug

BibTeX Entry: Download

Corresponding Paper BibTeX Entry: Download

Supported Operating Systems: Linux

Data Formats: None

Tags: Python, Topic Analysis, Topic Modeling

Archive: download here

Other available revisons

Version	Changelog	Date
0.1.1	-fixed some npy_intp[] memory leaks -fixed phi normalization bug	July 16, 2009, 21:52:18
0.1	Initial Announcement on mloss.org.	November 12, 2008, 21:53:00

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