KEST: A graph-based keyphrase extraction technique for tweets summarization using Markov Decision Process

作者：

Highlights：

• The patterns for word co-occurrence network evolved from social media data.

• The Markov Decision Process over Graph of Words.

• Propose transition and controlling parameters to approximate chain of words.

• Keyphrase extraction by retaining lexical sequence of words.

摘要

•The patterns for word co-occurrence network evolved from social media data.•The Markov Decision Process over Graph of Words.•Propose transition and controlling parameters to approximate chain of words.•Keyphrase extraction by retaining lexical sequence of words.

论文关键词：Graph of words,Interest -specific keyphrases,Markov decision process,Tweet summarization

论文评审过程：Received 4 February 2022, Revised 30 June 2022, Accepted 6 July 2022, Available online 10 July 2022, Version of Record 2 August 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.118110