Concurrent Inference of Topic Models and Distributed Vector Representations

ECML/PKDD, 2015.

Cited by: 4|Bibtex|Views6|Links
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Abstract:

Topic modeling techniques have been widely used to uncover dominant themes hidden inside an unstructured document collection. Though these techniques first originated in the probabilistic analysis of word distributions, many deep learning approaches have been adopted recently. In this paper, we propose a novel neural network based archite...More

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