Interactive topic models & tree-based models #195
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difficulty hard
Hard issue: required deep gensim understanding & high python/cython skills
feature
Issue described a new feature
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Feature request
Some recent cool work done on evaluating topic models & extending LDA with "word group" correlations:
http://www.cs.umd.edu/~ynhu/publications/mlj2013_itm.pdf
It's based on gibbs sampling (like MALLET's "sparse bucket sampling") and contains many interesting experiments.
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