Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/94859
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dc.contributorDepartment of Chinese and Bilingual Studiesen_US
dc.creatorLee, SYMen_US
dc.date.accessioned2022-08-30T07:33:12Z-
dc.date.available2022-08-30T07:33:12Z-
dc.identifier.issn0302-9743en_US
dc.identifier.urihttp://hdl.handle.net/10397/94859-
dc.descriptionChinese Lexical Semantics : 18th Workshop, CLSW 2017, Leshan, China, May 18-20, 2017en_US
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.rights© Springer International Publishing AG 2018en_US
dc.rightsThis version of the contribution has been accepted for publication, after peer review (when applicable) but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://dx.doi.org/10.1007/978-3-319-73573-3_37. Use of this Accepted Version is subject to the publisher’s Accepted Manuscript terms of use https://www.springernature.com/gp/open-research/policies/accepted-manuscript-terms.en_US
dc.subjectEmotion Expressionen_US
dc.subjectFigurative Languageen_US
dc.subjectSocial Mediaen_US
dc.titleFigurative language in emotion expressionsen_US
dc.typeConference Paperen_US
dc.identifier.spage408en_US
dc.identifier.epage419en_US
dc.identifier.volume10709en_US
dc.identifier.doi10.1007/978-3-319-73573-3_37en_US
dcterms.abstractThis paper examines the use of figurative language in expressing emotions in social media. Based on the analysis of 300 posts from Weibo.com, we argue that there is a close interaction between figurative language and emotion. It is found that 27% of the posts contain figurative devices such as metaphor, simile, rhetorical questions, and irony. Among the five basic emotions, the emotion of anger has the greatest tendency to be expressed via the figurative devices, followed by sadness, fear, surprise, and happiness. In addition, the data shows that rhetorical questions are the most frequently used figurative device for evoking negative emotions, i.e. anger and sadness. We believe that the linguistic account of figurative language in emotion expressions will significantly enhance the effectiveness of the existing automatic emotion classification systems.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationLecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics), 2018, v. 10709, p. 408-419en_US
dcterms.isPartOfLecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics)en_US
dcterms.issued2018-
dc.identifier.scopus2-s2.0-85045293644-
dc.relation.conferenceChinese Lexical Semantics Workshop [CLSW]en_US
dc.identifier.eissn1611-3349en_US
dc.description.validate202208 bckwen_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumbera1345, CBS-0301en_US
dc.identifier.SubFormID44648-
dc.description.fundingSourceRGCen_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS9613799en_US
dc.description.oaCategoryGreen (AAM)en_US
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