We want to regularize the LDA model such that two connected words u, v have similar topicword distributions (i.e., φ Note that the standard conjugate Dirichlet prior on φ is limited in that all words share a common variance parameter, and are mutually independent except normalization constraint (Minka, 1999).
it does not allow us to encode this knowledge.