Salience Rank: Efficient Keyphrase Extraction with Topic Modeling

Abstract

Topical PageRank (TPR) uses latent topic distribution inferred by Latent Dirichlet Allocation (LDA) to perform ranking of noun phrases extracted from documents. The ranking procedure consists of running PageRank K times, where K is the number of topics used in the LDA model. In this paper, we propose a modification of TPR, called Salience Rank. Salience… (More)
DOI: 10.18653/v1/P17-2084

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