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1、上海交通大学硕士学位论文EVENTEXTRACTIONANDSENTIMENTANALYSISONMIRCOBLOGABSTRACTWiththedevelopmentofsocialnetworkingservicesandthepopularityofsmartphones,microblogginghasbecomeanimportantcommunicationandspreadflatroofforpeople,everydaytherearealargenumberoftextsonthisplatform,whichcontainalotofsocialhotproblemsa
2、ndtheemotioninformationoftheuserstowardstheseissues.Tofindthetopicsocialpointsandanalyzetheuser'ssentimentabouttheseeventsishelpfulfortacklingoutburstincident,publicopinionsurveyandmarketanalysis,ithasagreatapplicationvalueonpublicopinionmonitoringandmarketingmanagementasthehighcoverageandtimelines
3、sofinformationonmicroblogging.Informationextractionbasedonmicrobloggingisaraisingresearchtopic,includingsentimentclassification,automaticabstraction,eventextractionetc.Thetraditionalworkoneventextractionmainlyfocusesonnewswebsitetexts,however,thereproducibility,fragmentation,noisyandrandomnessofthe
4、microbloggingtextsmakestheprevioustechnologyisnotproperforthetextsonmicroblogging.ThispaperdescribesanopendomaineventextractionandsentimentanalysissystembasedonChinesemicroblogging.Firstly,thissystemwilldoadatapretreatmenttoexperimentaldata,andgettheeventinformationthroughnamedentityrecognitionandt
5、imeresolvedtechnology,thenanalyzesandcalculatestheproportionabouteveryeventtothetotalevents,atlastoutputstheeventwhichhasalargevariationofthenumberagainstthetimeline.Aboutsentimentanalysis,itsmainideaistoconstructclassificationmodelwithSVMclassifier,thekeyisthechoiceabouteigenvalueoftexts,II万方数据上海交
6、通大学硕士学位论文thispaperfocusonchoosingthenetworkemoticonsandwordswithsubjectiveemotionalasfeatures.Theexperimentsdemonstratethatthewaythispaperproposedforeventextractionandsentimentclassificationisfeasible.KEYWORDS:microblogging,hotevents,informationextraction,eventextraction,sentimentanalysisIII万方数据上海交
7、通大学硕士学位论文目录基于微博的热点事件挖掘与情感分析·······················································I摘要································································································IABSTRACT················