Papers with RNNRSM

1 papers
Deep Temporal-Recurrent-Replicated-Softmax for Topical Trends over Time (N18-1)

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Challenge: a novel topic model is proposed to allow topical trends to be captured in temporal collections of documents.
Approach: They propose a novel unsupervised neural dynamic topic model where topics are influenced by topic discovery over time.
Outcome: The proposed model shows better generalization, topic interpretation, evolution and trends compared to state-of-the-art models .

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