Detection of Fraud Apps using Sentiment Analysis


Authors : Gauri Rao, Shashank Bajaj, Nikhil Nigam, Priya Vandana, Srishti Singh.

Volume/Issue : Volume 3 - 2018, Issue 5 - May

Google Scholar : https://goo.gl/DF9R4u

Scribd : https://goo.gl/Yp2rGA

Thomson Reuters ResearcherID : https://goo.gl/3bkzwv

Rank misrepresentation in the portable Application advertise alludes to extortion/misleading exercises whose lone object is to have a reason for hitting up the Applications in the prominence list. It turns out to be more incessant for Application designers to utilize terrible means, for example, expanding their Application deals or posting false App evaluations, to confer positioning extortion. It is vital to avoid positioning fraudas there is restricted comprehension and research in this field. Up till now, in this paper, we have given a comprehensive perspective of positioning misrepresentation and recommended positioning extortion identification framework.

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