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	TopicSpam: A topic-model-based approach for spam detection
	Li, Jiwei ; Cardie, Claire ; Li, Sujian
	2013
英文摘要	Product reviews are now widely used by individuals and organizations for decision making (Litvin et al., 2008; Jansen, 2010). And because of the profits at stake, people have been known to try to game the system by writing fake reviews to promote target products. As a result, the task of deceptive review detection has been gaining increasing attention. In this paper, we propose a generative LDA-based topic modeling approach for fake review detection. Our model can aptly detect the subtle differences between deceptive reviews and truthful ones and achieves about 95% accuracy on review spam datasets, outperforming existing baselines by a large margin. ? 2013 Association for Computational Linguistics.; EI; 0
语种	英语
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/412133]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Li, Jiwei,Cardie, Claire,Li, Sujian. TopicSpam: A topic-model-based approach for spam detection. 2013-01-01.

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