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Emotional computing and discourse analysis: A case study about brexit in Twitter

dc.contributor.authorNiklander S.
dc.date.accessioned2020-09-02T22:24:39Z
dc.date.available2020-09-02T22:24:39Z
dc.date.issued2017
dc.identifier10.1007/978-3-319-58750-9_65
dc.identifier.citation713, , 469-472
dc.identifier.issn18650929
dc.identifier.urihttps://hdl.handle.net/20.500.12728/5593
dc.descriptionDuring the last years, emotional computing has emerged as a field of Human Computer Interaction, where algorithms are able to recognize emotions in order to take better decisions in a given context. However correctly recognizing emotions is known to be a difficult task, specially in social networks which is plenty of stereotypes, metaphors, ironies and multi-word expressions that make the process hard to succeed. In this paper, we propose to pre-process the data by using emotional computing algorithms to then employ discourse analysis for the study of the information viralyzed through social networks. We provide interesting results using as case study the Brexit. © Springer International Publishing AG 2017.
dc.language.isoen
dc.publisherSpringer Verlag
dc.sourceStephanidis C.
dc.subjectAffective computing
dc.subjectDiscourse analysis
dc.subjectEmotional computing
dc.subjectSocial networks
dc.subjectHuman computer interaction
dc.subjectSemantics
dc.subjectSocial sciences computing
dc.subjectAffective Computing
dc.subjectDiscourse analysis
dc.subjectEmotional computing
dc.subjectMulti-word expressions
dc.subjectRecognizing emotions
dc.subjectSocial networking (online)
dc.titleEmotional computing and discourse analysis: A case study about brexit in Twitter
dc.typeConference Paper


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