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CompareLDA: A Topic Model for Document Comparison

Comparative Latent Dirichlet Allocation (CompareLDA) learns predictive topic distributions that comply with the pairwise comparison observations.


This is a GoLang project and can be assembled using standard GoLang infrastructure:

  • cmd/eval/chibeval.go is a Chib-style estimator of the predictive log-likelihood;
  • cmd/fit/rldafit.go is a CompareLDA trainer;
  • cmd/inf/rldainf.go is a CompareLDA predictor.
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