Identifying Emotions in Social Media: Comparison of Word ...

In recent years, emotions expressed in social media messages have ... the performance of the lexicons as well as with respect to emotion ... SkiptosearchformSkiptomaincontentSkiptoaccountmenuYouarecurrentlyoffline.Somefeaturesofthesitemaynotworkcorrectly.DOI:10.1109/FiCloudW.2017.75CorpusID:1055916IdentifyingEmotionsinSocialMedia:ComparisonofWord-EmotionLexicons@article{Kusen2017IdentifyingEI, title={IdentifyingEmotionsinSocialMedia:ComparisonofWord-EmotionLexicons}, author={EmaKusenandGiuseppeCascavillaandKathrinFiglandMauroContiandMarkStrembeck}, journal={20175thInternationalConferenceonFutureInternetofThingsandCloudWorkshops(FiCloudW)}, year={2017}, pages={132-137} }EmaKusen,GiuseppeCascavilla,+2authorsMarkStrembeckPublished1August2017ComputerScience20175thInternationalConferenceonFutureInternetofThingsandCloudWorkshops(FiCloudW)Inrecentyears,emotionsexpressedinsocialmediamessageshavebecomeavividresearchtopicduetotheirinfluenceonthespreadofmisinformationandonlineradicalizationoveronlinesocialnetworks.[...]KeyMethodTothisend,wedesignedandimplementedanalgorithmthatappliesnaturallanguageprocessing(NLP)techniquesalongwithanumberofheuristicsthatreflectthewayhumansnaturallyassessemotionsinwrittentexts.ExpandViewonIEEEiris.uniroma1.itSavetoLibrarySaveCreateAlertAlertCiteShareThisPaper24CitationsBackgroundCitations5MethodsCitations9ViewAllFigures,Tables,andTopicsfromthispaperfigure1figure2tableItableIItableIIIViewAll5Figures&TablesLexiconSocialmediaNaturallanguageprocessingAlgorithmNorm(social)Correctness(computerscience)Heuristic(computerscience)EmbeddedsystemSadnessSocialnetwork24CitationsCitationTypeCitationTypeAllTypesBackgroundCitationsMethodsCitationsHasPDFPublicationTypeAuthorMoreFiltersMoreFiltersFiltersSortbyRelevanceSortbyMostInfluencedPapersSortbyCitationCountSortbyRecencyWhysoEmotional?AnAnalysisofEmotionalBot-generatedContentonTwitterEmaKusen,MarkStrembeckComputerScienceCOMPLEXIS2018TLDRBotsemotionallypolarizeduringcontroversialeventsandeveninjectpolarizingemotionsintotheTwitterdiscourseonharmlesseventssuchasThanksgiving,andhumansgenerallytendtoconformtothebaseemotionoftherespectiveeventwhilebotscontributetothehigherintensityofshiftedemotions.Expand11PDFView4excerpts,citesbackgroundandmethodsSaveAlertEmotionalValenceShiftsandUserBehavioronTwitter,Facebook,andYouTubeEmaKusen,MarkStrembeck,M.ContiComputerScienceInfluenceandBehaviorAnalysisinSocialNetworksandSocialMedia2019TLDREmpiricalevidenceisfoundthatprospectivelynegativereal-worldeventsexhibitasignificantamountofshiftedemotionsinthecorrespondingmessages,whichisthefirststudythatprovidesempiricalevidencefortheundoinghypothesisinonlinesocialnetworks(OSNs).Expand8SaveAlertSomethingdrawsnear,Icanfeelit:Ananalysisofhumanandbotemotion-exchangemotifsonTwitterEmaKusen,MarkStrembeckComputerScienceOnlineSoc.NetworksMedia20197SaveAlertInvestigationofEmotionExchangeMotifsinBot/HumanInteractionsDuringRiotEventsEmaKusen,MarkStrembeckComputerScience2018FifthInternationalConferenceonSocialNetworksAnalysis,ManagementandSecurity(SNAMS)2018TLDRAnemotion-annotatedn-layermultiplexnetworkmodelisproposedtostudytheinvolvementofbotsintheexchangeofemotionalmessagesandfindsthatbotstendtosendmessagesofahigheremotionalintensity,ascomparedtohumans.Expand3PDFView1excerpt,citesmethodsSaveAlertHowDramaticEventsCanAffectEmotionalityinSocialPosting:TheImpactofCOVID-19onRedditValerioBasile,FrancescoCauteruccio,G.TerracinaPsychologyFutureInternet2021TLDRStructuralvariationsinsocialpostingbehavior,emotionalreactionsunderthePlutchikmodelofbasicemotions,andemotionalreactionunderunconventionalemotions,suchasskepticismareconsidered,particularlyrelevantintheCOVID-19context.Expand4PDFView1excerpt,citesmethodsSaveAlertOnthePublicPerceptionofPoliceForcesinRiotEvents-TheRoleofEmotionsinThreeMajorSocialNetworksDuringthe2017G20RiotsEmaKusen,MarkStrembeckPsychologyCOMPLEXIS2018TLDRItisfoundthatnegativeemotionsofhigharousal(angerandfear)dominateinmessagesmentioningthepoliceonallthreesocialnetworks,andincontrasttopreviousstudies,emotionshaveaconsiderablylargerimpactontheretweetingbehaviorthanthenumberofhashtagsamessagecontains.Expand5PDFView4excerpts,citesbackgroundandmethodsSaveAlertBuildingblocksofcommunicationnetworksintimesofcrises:Emotion-exchangemotifsEmaKusen,MarkStrembeckComputerScienceComput.Hum.Behav.2021PDFView4excerpts,citesmethodsSaveAlertAnanalysisofemotion-exchangemotifsinmultiplexnetworksduringemergencyeventsEmaKusen,MarkStrembeckComputerScienceAppl.Netw.Sci.2019TLDRAsystematicstructuralanalysisofthemultiplexcommunicationnetworkderivedfromadata-setincludingmorethan1.9milliontweetsthathavebeensentduringfiverecentshootingsandterroreventssuggeststhatemotion-exchangemotifsonlyemergewhenusersexchangemessagesthatconveyangerorfear.Expand9PDFView4excerpts,citesbackgroundandmethodsSaveAlertStructuralSimilaritiesofEmotion-exchangeNetworks:Evidencefrom18CrisisEventsEmaKusen,MarkStrembeckBusinessCOMPLEXIS2021TLDRNewfindingsindicatethatnotallnegativeemotionsareexchangedinthesameway,andexchangesofsadnessontheonehand,andjoy/loveontheothershowmorestructuralsimilaritythananyotherpairofemotions.ExpandPDFView2excerpts,citesmethodsSaveAlertHellHathNoFury?CorrectingBiasintheNRCEmotionLexiconSamiraZad,JoshuanJimenez,MarkA.FinlaysonComputerScienceWOAH2021TLDRAprocedureforsemi-automaticallycorrectingproblemsintheNRClexiconisdescribed,whichincludesdisambiguatingPOScategoriesandaligningNRCentrieswithotheremotionlexiconstoinfertheaccuracyoflabels.Expand1PDFView1excerpt,citesbackgroundSaveAlert...123...ReferencesSHOWING1-10OF37REFERENCESSORTBYRelevanceMostInfluencedPapersRecencyHBE:Hashtag-BasedEmotionLexiconsforTwitterSentimentAnalysisFajriKoto,M.AdrianiComputerScienceFIRE2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