doi: 10.4304/jsw.9.9.2246-2250
Wikipedia Based Approach for Clustering Keyword of Reviews
- 1 Institute of Software and Intelligent Technology, Hangzhou Dianzi University, Hangzhou, 310018, China
- 2 Zhejiang Provincial Engineering Center on Media Data Cloud Processing and Analysis, Hangzhou Dianzi University, Hangzhou, 310018, China
- 3 College of Computer Science and Technology, Zhejiang University, Hangzhou, 310027, China
Abstract
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%.
Keywords
- Wikipedia
- keyword of reviews
- semantic
How to Cite
Ming Jiang, Wencao Yan, Xingqi Wang, Jingfan Tang, and Chunming Wu, "Wikipedia Based Approach for Clustering Keyword of Reviews," Journal of Software, vol. 9, no. 9, pp. 2246-2250, 2014. https://doi.org/ 10.4304/jsw.9.9.2246-2250
Copyright & License
Copyright © 2014 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).