Multi-dimensional Topic Modeling with Determinantal Point Processes

Abstract

Probabilistic topics models such as Latent Dirichlet Allocation (LDA) provide a useful and elegant tool for discovering hidden structure within large data sets of discrete data, such as corpuses of text. However, LDA implicitly discovers topics along only a single dimension. Recent research on multi-dimensional topic modeling aims to devise techniques that… (More)

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