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
No one has posted any comments yet. Perhaps you'd like to be the first?
Leave a comment
You must be logged in to post comments.