By applying Bayes rule, the full conditional of assigning topic k to z ds is obtained as follows: The possible combinations of i ds is exponential in the length of the sentence s. Similar to (Nguyen et al., 2015), we conduct approximation of the above equation and integrate out i ds , Exactly calculating P (v w |x w ) is computational infeasible, since the normalization term involves all the words in the vocabulary.
by applying LTE, we obtain coherent latent topics and the embedding generated by LTE are effective for identifying topical words of documents.