We have hosted the application jldadmm in order to run this application in our online workstations with Wine or directly.


Quick description about jldadmm:

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/.

Programming Language: Java.
Categories:
Information Analysis, Machine Learning

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