By repeatedly resampling from this distribution we obtain individual word assignments which in turn allow us to estimate the topic multinomials and the per-document mixing proportions.
the topic multinomials are estimated as: while the per-document mixing proportions θ d can be estimated as: Although we experimented with hyper-parameter learning (Dirichlet concentration parameter η), doing so did not significantly impact the final model.