Suwon Suh

Two-dimensional correlated topic models

Latent Dirichlet allocation (LDA) is a widely-used topic model where a set of hidden topics is learned to model a collection of data in the form of bag-of-words. Correlated topic model (CTM) extends LDA, modelling topic correlation by using logistic normal prior for topic proportion vectors, instead…