A graph based keyword extraction model using collective node weight

作者：

Highlights：

• This paper proposes a keyword extraction method called KECNW.

• KECNW is a novel unsupervised graph based keyword extraction method.

• It determines node weight by collectively taking various influencing parameters.

• This model is validated with five datasets.

• Its performance is far better than the other existing methods.

摘要

•This paper proposes a keyword extraction method called KECNW.•KECNW is a novel unsupervised graph based keyword extraction method.•It determines node weight by collectively taking various influencing parameters.•This model is validated with five datasets.•Its performance is far better than the other existing methods.

论文关键词：Sentiment analysis,Keyword extraction,Graph based model,Centrality measure,Text mining

论文评审过程：Author links open overlay panelSaroj Kr.BiswasMonaliBordoloiJacobShreya

论文官网地址：https://doi.org/10.1016/j.eswa.2017.12.025