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Vol. 7, June, Issue 6

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AUTOMATIC DETECTION OF FAKE PROFILES IN ONLINE SOCIAL NETWORKS


Abstract

ABSTRACT: In the present age, the socialexistence of everybody has moved toward becoming related with the online informalcommunities. These destinations have rolled out a radical improvement in theway we seek after our social life. Reaching them and their updates has turnedout to be simpler. Be that as it may, with their fast development, numerousissues like phony profiles, online pantomime have likewise developed. There areno practical arrangement exist to control these issues. In this venture, weconcocted a structure with which programmed identification of phony profiles isconceivable and is productive. This system utilizes order methods like SupportVector Machine, Nave Bayes and Decision trees to characterize the profiles intophony or bona fide classes. As, this is a programmed recognition technique, itcan be connected effortlessly by online informal organizations which has a hugenumber of profile whose profiles can't be inspected physically.

Keywords: Conceptual Similarity, Trademark Infringement,Trademark Retrieval, Trademark Similarity.


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