The Java package jLDADMM is released to provide alternative choices for topic modeling on normal or short texts. It provides implementations of the Latent Dirichlet Allocation topic model and the one-topic-per-document Dirichlet Multinomial Mixture model (i.e. mixture of unigrams), using collapsed Gibbs sampling. In addition, jLDADMM supplies a document clustering evaluation to compare topic models. See the usage of jLDADMM in its website at http://jldadmm.sourceforge.net/

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Information Analysis, Machine Learning

License

GNU General Public License version 2.0 (GPLv2)

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  • ttv4 Posted 2015-07-02
    jLDADMM is very easy to use, easy to be extended
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Programming Language

Java

Related Categories

Java Information Analysis Software, Java Machine Learning Software

Registered

2015-06-06
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