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Spam Detection Techniques Used In Online Social Media Reviews

K. Arun, M. Manoj

Abstract


In Online Social Networks (OSNs) created the number of fake accounts and that is used to rank of some targets or products. This fake accounts knows as spammers, which can be generated by human beings or programs making them very difficult to identify. The proposed spammer detection method used to detect the near-duplicate accounts to write the review of a product. The recently used techniques are NetSpam and Three automated Approach. The Netspam, which is metapath concept used to detect the spam features for review datasets as heterogeneous information networks to spam detection procedure into a problem in such networks. The Three automated approach method used to find deceptive spam opinion by using metric parameters are used on digital world review datasets from Yelp and Amazon websites.

Keywords


Social Media, Online Social Networks, Spammer, Deceptive Spam Opinion, Heterogeneous Information Network

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References


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