acl acl2013 acl2013-350 acl2013-350-reference knowledge-graph by maker-knowledge-mining

350 acl-2013-TopicSpam: a Topic-Model based approach for spam detection


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Author: Jiwei Li ; Claire Cardie ; Sujian Li

Abstract: 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 dif- ferences between deceptive reviews and truthful ones and achieves about 95% accuracy on review spam datasets, outperforming existing baselines by a large margin.


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