基于微博的情感分析关键技术研究

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1、万方数据II万方数据AbstractResearchonSentimentAnalysisandOpinionMiningofWeiboCandidate：JuYu，Supervisor：Prof．QiaoWANGSchoolofInformationScienceandEngineering,SoutheastUniversity,ChinaAftersteppingintotheeraofmobileinternet，peoplearebecomingmorewillingtosharetheiropinionsandlifeexperiencesw

2、ithothersthroughinternet．Meanwhile，itresultsinanexplosiveaccumulationofsubjectiveinformationonsocialnetworkslikeWeibo．Andinthiscontext，thesentimentanalysisofWeibokeepsbothgreatsocialandcommercialvalues；asforgovernors，itCanfacilitatetheirunderstandingtowardspublicopinions；whilefor

3、merchants，ithelpsthemtofollowupconsumers’attitudes．HereIaimtodevelopasetofmethodsforsentimentanalysisandopinionminingofWeibo．Myworkmainlycomprisesfourparts，i．e．unknownwordsrecognition，Weibocorpuspre-processing，sentimentlexiconsextensionandalgorithmsforsentimentanalysis．Throughthe

4、work，wehavesignificantlyimprovedtherecognitionrateofthewordsegmentationsystem．Andasentim、entlexiconforWeibowasbuiltbyus．WehavealsoconstructedintelligentminingmethodforthesentimentpolarityanalysisofWeibo．Finally,weachievedtobuildupaproto—systemforthesentimentanalysisandopinionmini

5、ngofhottopicsonWeibo．Andthroughitwecangetthesentimentpolarityoftopics，aswellasacquiretherealopinionsofWeibousers．Inthispaper,wefirstgiveabriefintroductiontothecurrentstudyofsentimentanalysisandopinionmining，anditssocialandcommercialvalue．Afterthedissectionofthelinguisticcharacter

6、isticofcontentonWeibo，weevaluatedtheeffectivenessofdatapre—processingmethodsandalgorithmsforsentimentanalysisofWeibo．Ondatapre—processing，weprovideanalgorithmforunknownwordsrecognitionwhichbasedonco-occurrencefrequency,anditcaneffectivelyrecognizeunknownwordsfromWeiboandimproveth

7、eperformanceofwordsegmentationsystem．Thesentimentlexiconsexpansionisstartedbypre—processingofWeibocorpusbasedonthewordsegmentationsystem．Andthenistheclarificationofroughdatatomakeitwellstructured．Eventuallyweexpandtheprimarysentiment1exiconsbasedonwell．processeddata．Andinthisproc

8、ess，wehavecomparedtheadvantagesanddisadv