Progressive EM for Latent Tree Models and Hierarchical Topic Detection
Progressive EM for Latent Tree Models and Hierarchical Topic Detection
Hierarchical latent tree analysis (HLTA) is recently proposed as a new method for topic detection. It differs fundamentally from the LDA-based methods in terms of topic definition, topic-document relationship, and learning method. It has been shown to discover significantly more coherent topics and better topic hierarchies. However, HLTA relies on …