Wikipedia based Approach for Clustering Keyword of Reviews

From Wikipedia Quality
Revision as of 23:09, 28 May 2019 by Hanna (talk | contribs) (Overview: Wikipedia based Approach for Clustering Keyword of Reviews)
(diff) ← Older revision | Latest revision (diff) | Newer revision → (diff)
Jump to: navigation, search

Wikipedia based Approach for Clustering Keyword of Reviews - scientific work related to Wikipedia quality published in 2014, written by Ming Jiang, Wencao Yan, Xingqi Wang, Jingfan Tang and Chunming Wu.

Overview

A novel method based on Wikipedia for clustering keyword of reviews is proposed. Users can quickly finding the themes they interest through it. First the method extracts keywords, then calculates word similarity based on Wikipedia to generate similarity matrix, finally uses k-means to cluster. The performance is better than the methods which based on How-net and Word-net. The accuracy is around 77%.