Du, Lan; Buntine, Wray; Jin, Huidong (Warren); Chen, Changyou
Understanding how topics within a document evolve over the structure of the document is an interesting and potentially important problem in exploratory and predictive text analytics. In this article, we address this problem by presenting a novel variant of latent Dirichlet allocation (LDA): Sequential LDA (SeqLDA). This variant directly considers the underlying sequential structure, i. e. a document consists of multiple segments (e. g. chapters, paragraphs), each of which is correlated to its...[Show more]
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