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.

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Supported Operating Systems:

Linux

Tags:

Python, Topic Analysis, Topic Modeling

Archive:

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