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一种结合文本情感分析的微博僵尸粉识别模型.docx

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一种结合文本情感分析的微博僵尸粉识别模型 Title:TextSentimentAnalysis-basedModelforWeiboZombieFollowersRecognition Abstract: Withtherapiddevelopmentofsocialmediaplatforms,suchasWeibo,theissueofzombiefollowershasbecomeasignificantconcern.Zombiefollowersrefertofakeaccountsorinactiveusersthatareusedtoartificiallyinflatethefollowercountofauser,leadingtoinflatedsocialinfluence.Recognizingandclassifyingthesezombiefollowersisessentialformaintainingtheauthenticityandcredibilityofsocialmedianetworks.Inthispaper,weproposeanovelmodelthatcombinestextsentimentanalysistechniquestoidentifyWeibozombiefollowers.Ourmodelleveragesmachinelearningalgorithmstoanalyzethetextualcontentandsentimentpatternsoffollowerprofiles,enablingaccuratedetectionofzombiefollowers.Experimentalresultsdemonstratetheeffectivenessandefficiencyofourproposedmodel,highlightingitspotentialforapplicationinreal-worldscenarios. 1.Introduction Socialmediaplatforms,suchasWeibo,havewitnessedexponentialgrowthoverthepastdecade,revolutionizingthewaywecommunicateandshareinformation.However,theincreasingprevalenceoffakeaccounts,bots,andzombiefollowersposesaseriousthreattotheauthenticityandreliabilityoftheinformationsharedontheseplatforms.Zombiefollowersareparticularlyproblematicastheyartificiallyinflateusers'followercounts,leadingtodistortedsocialinfluencemetrics.Therefore,itbecomescrucialtodevelopeffectivemethodsforidentifyinganddistinguishingthesezombiefollowersfromgenuineusers. 2.RelatedWork Priorresearchhasfocusedonvariousapproachesforidentifyingfakeaccounts,includinganalyzinguserbehaviors,networkanalysis,andcontentanalysis.However,fewstudieshavecombinedtextsentimentanalysiswiththesetechniquestoidentifyzombiefollowers.Thispaperbridgesthisresearchgapandproposesanovelapproachthatcombinessentimentanalysiswithmachinelearningalgorithmsforaccurateidentification. 3.ProposedModel Ourproposedmodelconsistsofseveralkeysteps:datacollection,preprocessing,featureextraction,sentimentanalysis,andclassification. 3.1DataCollection WecollectalargedatasetofWei