If there is fully labelled data available, e.g., labelled documents, our model will account for the full supervision from document labels during the generative process, where each document can associate with a single class label or multiple class labels.
if the dataset contains both labelled and unlabelled data, our model will account for the available labels during the generative process as well as incorporate the labelled features as above to constrain the Dirichlet prior.