Topic Discovery

Previously topic models such as PLSI (Prob- abilistic Latent Semantic Indexing) and LDA (Latent Dirichlet Allocation) were developed for modeling the contents of plain texts. Re- cently, topic models for …...

The rich user-generated content found on internet blogs have always attracted the interest of scientific communities for many different purposes, such as from opinion and sentiment mining, information extraction or …...

AbstractSpatial aggregation refers to merging of documents created at the same spatial location. We show that by spatial aggregation of a large collection of documents and applying a traditional topic …...

AbstractTopic models have been widely used to learn text representations and gain insight into document corpora. To perform topic discovery, most existing neural models either take document bag-of-words (BoW) or …...