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An Approach for Detecting Fake Reviewers in Social Media


Author(s):

Dr. Nivas Mohideen Jinna , College of Administrative and Financial Sciences AMA International University, Salmabad, Kingdom of Bahrain

Keywords:

IP Address, Spam

Abstract:

As the majority of the general population require audit about an item before spending their cash on the item. So individuals run over different audits in the site however these surveys are bonafide or counterfeit is not distinguished by the client. In some survey sites some great audits are included by the item organization individuals itself with the end goal to make with the end goal to deliver false positive item surveys. They give great surveys for some, extraordinary items produced by their very own firm. Client will not have the capacity to see if the survey is veritable or counterfeit. In this paper the followings are talk about, to discover counterfeit reviews(Spam) made by posting counterfeit remarks about an item by distinguishing the Rate Filter, User Filter, IP address Filter alongside survey posting designs. To discover the audit is phony or real, It will discover the IP address of the client if the framework watch counterfeit survey send by a similar IP Address numerous multiple times. This framework causes the client to discover remedy audit of the item.


Other Details:

Manuscript Id :IJSTEV5I8019
Published in :Volume : 5, Issue : 8
Publication Date: 01/03/2019
Page(s): 56-59
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