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1、Analysisofmicro-blogsentimentorientationbasedonSVMSpecialty:TechnologyofComputerApplicationName:LiKeKeSupervisor:ProfZhengQiushengAbstractWiththeadventoftheeraofWeb2.0,webdevelopmenthasenteredallareasofpeople'slives,inrecentyears,theemergenceofmicroblogging,makelifericher
2、.Microblogginginfluencegrowth,attractingalargenumberofscholarsin-depthstudyofthemicro-blog,andemotionalwordrecognitionandsentimentanalysishasbecomeanimportantissue.Intheopenmicrobloggingplatform,providingfunctionscanaccessinfonnation,youcanalsopublishinfonnationtootherspo
3、intofview.Atthesametime,withthereleaseofawiderangeofinformation,alongwithcreatingnewproblems,suchas,theemergenceofnewwordsemotionandemotionalpolarityanalysisofmicrobloggingsentences,newwordsappeartohavealotofChineseworddifficulttoidentify.HloosestringsHandndebrisH;disciim
4、inatingemotionaltendencieswhenmicroblogtextsentimentanalysis,judgmentbelongstopositive,negative,neutraljudges.Emotionaltendencyofthesetexts,userscanhaveagraspofemotions,notonlyhavesomecommercialvalue,butalsobeneficialtothecommunity,canalsohelpustoimproveintheareasofpublic
5、opinionmonitoring,thesaurusupdates,naturallanguageprocessing.EveiydaytensofthousandsofChinesemicroblogginguserstorefreshtheinformationonthemicrobloggingemotionalwordgenerationandanalysisofpolarconsequentproblems,doagoodjobofunderstandingtheuser'sattitudeisveryimportantand
6、urgent.Inthispaper,datafromtheexperimentsprovidedbytheairportemotionalconditionwithwordrecognition,carriedtagging,combinedwithcontextualinformationfeature,thefeaturevectortobuildonthetrainingcorpusdatamodelconstructionandtesting,andfinallygetemotionalwordcoirectmte(Precis
7、ion),recall(Recall)andF-values.EmotionalwordsonWeiboeffectivelycorrecttextrecognitionisdiscriminatingmicrobloggingemotionaltendentiouspremiseandfoundation.Firstly,combinedwithChineseinformationprocessing,naturallanguageknowledge,combinedwithlaboratoryemotionaldiscoveryand
8、analysisofnewwordsemotionnltendencies,emotionaltendenciesdiscussedvaiiousrelationshipsrelevantto