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1、中原工学院硕士学位论文摘要Analysisofmicro-blogsentimentorientationbasedonSVMSpecialty:TechnologyofComputerApplicationName:LiKeKeSupervisor:Prof.ZhengQiushengAbstractWiththeadventoftheeraofWeb2.0,webdevelopmenthasenteredallareasofpeople'slives,inrecentyears,theemergenceofmicroblogging,makeli
2、fericher.Microblogginginfluencegrowth,attractingalargenumberofscholarsin-depthstudyofthemicro-blog,andemotionalwordrecognitionandsentimentanalysishasbecomeanimportantissue.Intheopenmicrobloggingplatform,providingfunctionscanaccessinformation,youcanalsopublishinformationtoothers
3、pointofview.Atthesametime,withthereleaseofawiderangeofinformation,alongwithcreatingnewproblems,suchas,theemergenceofnewwordsemotionandemotionalpolarityanalysisofmicrobloggingsentences,newwordsappeartohavealotofChineseworddifficulttoidentify."loosestrings"and"debris";discriminat
4、ingemotionaltendencieswhenmicroblogtextsentimentanalysis,judgmentbelongstopositive,negative,neutraljudges.Emotionaltendencyofthesetexts,userscanhaveagraspofemotions,notonlyhavesomecommercialvalue,butalsobeneficialtothecommunity,canalsohelpustoimproveintheareasofpublicopinionmon
5、itoring,thesaurusupdates,naturallanguageprocessing.EverydaytensofthousandsofChinesemicroblogginguserstorefreshtheinformationonthemicrobloggingemotionalwordgenerationandanalysisofpolarconsequentproblems,doagoodjobofunderstandingtheuser'sattitudeisveryimportantandurgent.Inthispap
6、er,datafromtheexperimentsprovidedbytheairportemotionalconditionwithwordrecognition,carriedtagging,combinedwithcontextualinformationfeature,thefeaturevectortobuildonthetrainingcorpusdatamodelconstructionandtesting,andfinallygetemotionalwordcorrectrate(Precision),recall(Recall)an
7、dF-values.EmotionalwordsonWeiboeffectivelycorrecttextrecognitionisdiscriminatingmicrobloggingemotionaltendentiouspremiseandfoundation.Firstly,combinedwithChineseinformationprocessing,naturallanguageknowledge,combinedwithlaboratoryemotionaldiscoveryandanalysisofnewwordsemotional
8、tendencies,emotionaltendenciesdiscussedvariousrelation
