A.PRANAY KUMAR, S. SAMRUTH, A. ADITHYA REDDY, M. SAI GNANESHWAR, M. SAI GNANESHWAR,

Abstract

nthecurrentscenario,thedataonthewebisgrowingtoalargerextent.SocialMediaisgeneratingalargeamountofdatasuchasrev iews,commentsandcustomer’sopinionsonadailybasis.Thishugeamountofusergenerateddataisworthlessunlesssomeminingtechniqu esareappliedtoit.Nowadays,thereareseveralpeopleusingsocialmediareviewstoorderanythingthroughonline.Onlinespamdetectionis oneoftheherculeanproblemssincetherearemanyfauxorfakereviewsthatarecreatedbyorganizationsorbythepeoplethemselvesforvario uspurposes.Suchorganizationstendtowritefakereviewstomisleadreadersorautomateddetectionsystemsbypromotingordemotingtheta rgetedproductservices.Fakereviewsdetectionhasrecentlybecomealimelightthat’scapturingattention.Fakereviewsaregeneratedinten tionallytomisleadreaderstobelievefalsedatathatmakesittoughandnon- trivialtodiscoversupportedcontent.Hence,itishighlynecessarytocreateamonitoringsystemwhichthoroughlychecksforfakereviewsam ongvariousproductwebsitesandremovesthempromptly.