计算机应用与软件2016，Vol.33Issue(5)：158-161,172,5.DOI:10.3969/j.issn.1000-386x.2016.05.039
基于情感特征和用户关系的虚假评论者的识别
SPOTTING FAKE REVIEWERS BASED ON SENTIMENT FEATURES AND USERS’RELATIONSHIP
邵珠峰 1姬东鸿1
作者信息
- 1. 武汉大学计算机学院 湖北 武汉 430072
- 折叠
摘要
Abstract
With the rapid development of e-commerce,online shopping becomes more and more appealing.Before shopping online, consumers usually tend to refer to the relevant comments to decide whether to buy the products or not.Therefore,to identify fake reviewers is of great significance.Based on the difference of emotional polarities between fake reviewers and real reviewers,we added the sentiment features of comment text to feature modelling process.Combined with the inter-relationship between users and specific commodities,we constructed a multi-edge graph model and came up with a method of spotting fake reviewers.Experimental results verified the effectiveness of the proposed algorithm.关键词
电子商务/虚假评论者/情感特征/用户关系Key words
E-commerce/Fake reviewers/Sentiment features/Users relationship分类
信息技术与安全科学引用本文复制引用
邵珠峰,姬东鸿..基于情感特征和用户关系的虚假评论者的识别[J].计算机应用与软件,2016,33(5):158-161,172,5.
