The training of topic models is unsupervised, i.e., there is no ground truth for labeling a topic, which makes it difficult to analyze the effect of transfer learning.
after calculating P x T , we take an additional step called reverse valida-tion, where we design and calculate a measurecircular validation loss-to quantify the transfer.