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1、ABootstrappingApproachtoIdentifyingRelevantTweetsforSocialTVOvidiuDan∗JunlanFengBrianD.DavisonLehighUniversityAT&TLabsResearchLehighUniversityBethlehem,PA,USAFlorhamPark,NJ,USABethlehem,PA,USAovd209@lehigh.edujunlan@research.att.comdavison@cse.lehigh.eduAbstractbootstrappin
2、gapproachtotrainingaclassifierusingalim-itedamountoftrainingdataandalargedatasetofunla-ManufacturersofTVsetshaverecentlystartedaddingsocialbeledmessages.Theclassifierisdesignedtogeneralizetomediafeaturestotheirproducts.Someoftheseproductsdis-TVshowsthatwerenotpartofthetrainin
3、gset.Second,playmicrobloggingmessagesrelevanttotheTVshowwhichbasedonourintuitionandexperiments,wedevelopfeaturestheuseriscurrentlywatching.However,suchsystemssufferfromlowprecisionandrecallwhentheyusethetitleofthewhichcanbeusedtofiltermessagesforSocialTVappli-showtosearchfor
4、relevantmessages.Titlesofsomepopularcations.Third,weevaluateourbootstrappedclassifieronashowssuchasLostorSurvivorarehighlyambiguous,result-combinationoftwomanuallylabeleddatasets.Weshowthatinginmessagesunrelatedtotheshow.Thus,thereisaneedtoourclassifierachieveshighprecision,s
5、uccessfullygeneral-developfilteringalgorithmsthatcanachievebothhighpreci-izestounseentelevisionshows,andmatchesorsurpassessionandrecall.FilteringmicrobloggingmessagesforSocialthebaselinewhichistrainedonspecifictelevisionshows.TVposesseveralchallenges,includinglackoftrainingda
6、ta,OnlinesocialnetworkssuchasTwitterhaveattractedlackofpropergrammarandcapitalization,lackofcontextmuchinterestfromtheacademiccommunityinthelastfewduetotextsparsity,etc.years(Kwaketal.2010).SocialTVprojectshaveusedau-Wedescribeabootstrappingalgorithmwhichusesasmalldio,video
7、,andtextchatlinkstotestinteractionbetweenmanuallylabeleddataset,alargedatasetofunlabeledmes-userswatchingTVinseparaterooms.Morerecentlytheresages,andsomedomainknowledgetoderiveahighprecisionhasbeenworkoncombiningthesetwofieldsbydisplay-classifierthatcansuccessfullyfiltermicrob
8、loggingmessagesingmessagesfromsocialnetworksinSocialTVinterfaceswhichdiscusstelevi