Bayesian Sparse Topical Coding
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DOI: 10.1109/tkde.2018.2847707
Abstract: Sparse topic models (STMs) are widely used for learning a semantically rich latent sparse representation of short texts in large scale, mainly by imposing sparse priors or appropriate regularizers on topic models. However, it is… read more here.
Keywords: bayesian sparse; topical coding; topic models; sparse ... See more keywords