基于中文微博的情感-分析研究

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1、华中科技大学硕士学位论文AbstractMicroblogisbecomingamostpopularinternetapplication.Accordingtothestatis-tics,morethan100milliontweetspublichedineveryday.Thesetweetsnotonlyconveythedescriptionoffacts,butalsocontaintheemotionalstatesofmassivemicroblogusers.Andtheseemotionalinformationsmaybehelpfo

2、rusertodecidewhetherbuyaproduct,provideveryimportantreferencevalueforcompaniestomakemarketstrategy,andevenmakemassivedataavailableforgovernmenttomonitoringpublicopinion.Inlightofthis,weproposedasentimentanalysismethodbasedonacombinationofsyntacticdependenciesandtextclassificationtec

3、hniquesforChinesetweets.Themethodadoptsthesyntacticdependenciestoperformsentimentanalysis,atthesametime,com-putesaconfidenceforeverytweet.Choosentweetswhichconfidenceaboveacertainthresholdastrainingsamples,trainatwo-stepsentimentclassifierbyusingthecontentfeaturesandmediafeaturesoft

4、weets.Finally,classifythesentimentorientationoftweetsagain.Inaddiation,wealsoproposedamethodthatservescommonemoticonsasthesen-timentclasslabelsoftweetsandimplementsanincrementallearningmethodtotackletheproblemofreal-timesentimentanalysis.Experimentalresultsshowthattheproposedmethodd

5、ramaticallyimprovesthepre-cisionandtherecallby6%and3%repectivelycomparedtothemethodthatonlybasedonsyntacticdependencies.Andtheperformanceofourtwofeaturesetsarealsobetterthanunigramfeatures,theprecisionandtherecallbothare88%intermofsubjectiveclassifier,andtheyare72.1%and71.5%forsenti

6、mentclassifier.Apartfromthis,themediafeaturesaregoodfortracklingtheproblemofreal-timesentimentanalysis.Keywords:ChineseMicroblog,SentimentAnalysis,Syntacticdependencies,TextClassi-ficationII华中科技大学硕士学位论文目录摘要·············································································

7、······IABSTRACT···········································································II1绪论1.1课题研究背景···································································(1)1.2课题的研究目的和意义·······················································(2)1.3国内外研究现状····························

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