For all documents in each test set, we use half of the words for training per-document topic proportion θ and predict the probability of word occurrence regarding the remaining half.
the predictive probability for a word in a test set w new with respect to the given words w obs and the training document D train is computed using the equation Figure 4 illustrates the per-word log-predictive probability in each corpus.