计算机科学与探索Issue(3)：313-320,8.DOI:10.3778/j.issn.1673-9418.1310040
基于语言结构和情感极性的虚假评论识别
Deceptive Reviews Detection Based on Language Structure and Sentiment Polarity
摘要
Abstract
With the development of electronic commerce, assessing the trustworthiness of reviews is becoming a key issue. Heuristic strategies or traditional supervised learning methods cannot effectively solve this task. There must be some differences on language structure and sentiment polarity between deceptive reviews and truthful ones. This paper defines the features related to the review text and uses genetic algorithm for the features selection of lan-guage structure and sentiment polarity. Then, this paper uses the selected features and combines two non-supervision clustering algorithms to identify deceptive reviews. The experimental results verify the effectiveness of the proposed methods.关键词
虚假评论/聚类/语言结构/情感极性/遗传算法Key words
deceptive reviews/clustering/language structure/sentiment polarity/genetic algorithm分类
信息技术与安全科学引用本文复制引用
任亚峰,尹兰,姬东鸿..基于语言结构和情感极性的虚假评论识别[J].计算机科学与探索,2014,(3):313-320,8.基金项目
The Key Program of National Natural Science Foundation of China under Grant No.61133012(国家自然科学基金重点项目) （国家自然科学基金重点项目）
the National Natural Science Foundation of China under Grant No.61173062(国家自然科学基金) （国家自然科学基金）
the Fundamental Research Funds for the Central Universities of China under Grant No.2012211020210(中央高校基本科研业务费专项资金) （中央高校基本科研业务费专项资金）
