Sentiment Analysis in Twitter Based on Knowledge Graph and Deep ...

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This work proposes a new hybrid approach for Sentiment Analysis based on Knowledge Graphs and Deep Learning techniques to identify the sentiment polarity in ... SkiptosearchformSkiptomaincontentSkiptoaccountmenuDOI:10.3390/electronics10222739CorpusID:244032773SentimentAnalysisinTwitterBasedonKnowledgeGraphandDeepLearningClassification@article{Lovera2021SentimentAI, title={SentimentAnalysisinTwitterBasedonKnowledgeGraphandDeepLearningClassification}, author={FernandoLoveraandYudithCardinaleandMasunNabhanHomsi}, journal={Electronics}, year={2021} }FernandoLovera,YudithCardinale,MasunNabhanHomsiPublished10November2021ComputerScienceElectronicsThetraditionalwaytoaddresstheproblemofsentimentclassificationisbasedonmachinelearningtechniques;however,thesemodelsarenotabletograspalltherichnessofthetextthatcomesfromdifferentsocialmedia,personalwebpages,blogs,etc.,ignoringthesemanticofthetext.Knowledgegraphsgiveawaytoextractstructuredknowledgefromimagesandtextsinordertofacilitatetheirsemanticanalysis.ThisworkproposesanewhybridapproachforSentimentAnalysisbasedon… ExpandViewviaPublishermdpi.comSavetoLibrarySaveCreateAlertAlertCiteShareThisPaper1CitationsBackgroundCitations1MethodsCitations1ViewAllOneCitationCitationTypeHasPDFPublicationTypeAuthorMoreFiltersMoreFiltersFiltersSortbyRelevanceSortbyMostInfluencedPapersSortbyCitationCountSortbyRecencyANovelCascadeModelforEnd-to-EndAspect-BasedSocialCommentSentimentAnalysisHe-YuanDing,ShanHuang,WeiqiangJin,YuanShan,HangYuComputerScienceElectronics2022TLDRAnovelcascadesocialcommentsentimentanalysismodelforjointlytacklingtheE2E-ABSAproblem,namelyCasNSA,whichsubstantiallyoutperformsstate-of-the-artmethods,evenwhenusingfixedwordsembeddingratherthanpre-trainedBERTfinetuning.ExpandPDFView2excerpts,citesbackgroundandmethodsSaveAlertReferencesSHOWING1-10OF34REFERENCESSORTBYRelevanceMostInfluencedPapersRecencyLeveragingdeepgraph-basedtextrepresentationforsentimentpolarityapplicationsKayvanBijari,HadiZare,EmadKebriaei,H.VeisiComputerScienceExpertSyst.Appl.202026PDFSaveAlertKnowledge-BasedSentimentAnalysisandVisualizationonSocialNetworksJulioVizcarra,KoujiKozaki,MiguelTorresRuiz,R.QuinteroComputerScienceNewGener.Comput.2021TLDRAknowledge-basedmethodologyisproposedforsentimentanalysisonsocialnetworkstakingintoaccountthecontenthandlingthepublicuser’sopinionsasexcerptsofknowledgeandusingpolarity,sentiment,andapolarity–sentimenthybrid.Expand4SaveAlertAnOverviewofSentimentAnalysisinSocialMediaandItsApplicationsinDisasterReliefGhazalehBeigi,XiaHu,R.Maciejewski,HuanLiuComputerScienceSentimentAnalysisandOntologyEngineering2016TLDRThischapterexploresapplicationsofsentimentanalysisanddemonstrateshowsentimentmininginsocialmediacanbeexploitedtodeterminehowlocalcrowdsreactduringadisaster,andhowsuchinformationcanbeusedtoimprovedisastermanagement.Expand145PDFSaveAlertSentimentAnalysisofTwitterData:ASurveyofTechniquesV.A.Kharde,S.SonawaneComputerScienceArXiv2016TLDRAsurveyandacomparativeanalysesofexistingtechniquesforopinionmininglikemachinelearningandlexicon-basedapproaches,togetherwithevaluationmetricsareprovided,usingvariousmachinelearningalgorithmsontwitterdatastreams.Expand334PDFSaveAlertAsurveyonsentimentanalysischallengesD.M.E.M.HusseinComputerScienceJournalofKingSaudUniversity-EngineeringSciences2018320PDFSaveAlertCo-LSTM:ConvolutionalLSTMmodelforsentimentanalysisinsocialbigdataR.Behera,M.Jena,S.K.Rath,S.MisraComputerScienceInf.Process.Manag.202157SaveAlertOpinionMiningandSentimentAnalysisB.Pang,LillianLeeComputerScienceFound.TrendsInf.Retr.2007TLDRThissurveycoverstechniquesandapproachesthatpromisetodirectlyenableopinion-orientedinformation-seekingsystemsandfocusesonmethodsthatseektoaddressthenewchallengesraisedbysentiment-awareapplications,ascomparedtothosethatarealreadypresentinmoretraditionalfact-basedanalysis.Expand5,183PDFSaveAlertMorethanwords:Socialnetworks'textminingforconsumerbrandsentimentsM.MostafaBusiness,ComputerScienceExpertSyst.Appl.2013494PDFSaveAlertABCDM:AnAttention-basedBidirectionalCNN-RNNDeepModelforsentimentanalysisMohammadEhsanBasiri,ShahlaNemati,M.Abdar,E.Cambria,U.R.AcharryaComputerScienceFutureGener.Comput.Syst.2021184SaveAlertOpinionMiningandSentimentAnalysis:ASurveyM.Hajmohammadi,R.Ibrahim,Z.OthmanComputerScienceBIOINFORMATICS20122012TLDRTechniquesandapproachesforautomaticallyextractingandanalyzingindividualopinionfromwebdocumentssuchascustomerreviews,weblogsandcommentsonnews,usuallycalledOpinionMiningandSentimentAnalysisarecovered.Expand99PDFSaveAlert...1234...RelatedPapersAbstract1Citations34ReferencesRelatedPapersByclickingacceptorcontinuingtousethesite,youagreetothetermsoutlinedinourPrivacyPolicy,TermsofService,andDatasetLicenseACCEPT&CONTINUE

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