For example, a word has a topic vector ψ ] is the topic distribution matrix for all words with K topics; −−→ e (w i ) is the standard basis vector with 1 at the i-th position in the vocabulary V .
moreover, the regularizer can be constructed from either unlabeled data (e.g., LDA trained from the base corpus) or manually crafted resources such as a lexicon.