Beyond the topics: how deep learning can improve the discriminability of probabilistic topic modelling
The article presents a discriminative approach to complement the unsupervised probabilistic nature of topic modelling. The framework transforms the probabilities of the topics per document into class-dependent deep learning models that extract highly discriminatory features suitable for classificati...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
PeerJ Inc.
2020-01-01
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Series: | PeerJ Computer Science |
Subjects: | |
Online Access: | https://peerj.com/articles/cs-252.pdf |