中文微博信息可信度分析方法研究

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1、万方数据ABSTRACTAlongwiththepopularizationanddevelopmentofinternettechnologychangerapidly,andsinceJiwaiandFanfouliketheTwitterwebsiterepresentedthefirstgenerationofChinesemicrobloggingserviceavailable，micro-blogwithitsconvenience，”backtotheface”form，originality,grassrootsquicklydevelopedintoasocia

2、lnetworkinthe”pet”，theuserCansharewhattheysee，hearandfeelwheneverandwherever．Floodingandbindinginverylowmicro-blogeasilyleadtofalseinformation．Howtodeeplyminingthecharacteristicsinformationofmicro-bloguser，todesignthecorrespondingalgorithm，toestablishdecisionmodel，ithasimportantpracticalsignif

3、icanceforthegovernmentdepartmentsintheidentifyinginformation，clarifyideas，guidethought，preventthefalseinformationspreadandotheraspects．Intheresearchofmicro—blogcredibilityanalysismethod，thispaperresearchedfromthedirectionoftheindexsysteminstatisticsandmachinelearningclassificationalgorithmidea

4、srespectively．Thegoalwastoresearchmethodsandtechnologyaccuratejudgementofmicro-blogInformationCredibility．Aimingatcalculatingtheuserinformationauthorityvalueandthestructureandcontentofshorttextsmicro—bloguniqueness，thispaperconstructedusercredibilitymodelandcontentcredibilitymodelofmicro·bloga

5、ndintegratedthetwomodelwithweightanalysisofideas．Finally,thispaperdevelopedasetofmicro-bloginformationcredibilityevaluationsystem．ThesystemCanautomaticevaluatethedegreeofcredibilityofthestripmicro-blogaccordingtotheuserandusersubmittedmicro-bloginformation．Themainresearchcontentsincludethefoll

6、owingaspects：1)Thispaperachievedmicro—blogtheschemeofdatacollectionandatthesametimepreprocessedthemicro-blogusersandmicro-blogcontentindetail．AnalysingoftheadvantagesanddisadvantagesofsinaAPIandtraditionalwebpagecollectiontechnology,thispaperrealizedthecombinationoftraditionalwebpagecollection

7、technologyandSimulationuserlogin，madethemicro-bloguserinformationcollectingindexselectionandanalysiseduserspotentialcharacteristics．Alsothemodelprocessedsentimentclassificationfeaturesandmicro—blogrumorsclassificationoftheextractedfeatu