Discovering topic structures of a temporally evolving document corpus

25 Dec 2015Adham BeykikhoshkOgnjen ArandjelovicDinh PhungSvetha Venkatesh

In this paper we describe a novel framework for the discovery of the topical content of a data corpus, and the tracking of its complex structural changes across the temporal dimension. In contrast to previous work our model does not impose a prior on the rate at which documents are added to the corpus nor does it adopt the Markovian assumption which overly restricts the type of changes that the model can capture... (read more)

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