基于SVM的微博情感倾向性分析分析

基于SVM的微博情感倾向性分析分析

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时间:2019-10-10

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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

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