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Combining sentimental and content analysis for recognizing and interpreting human affects

dc.contributor.authorNiklander S.
dc.contributor.authorNiklander G.
dc.date.accessioned2020-09-02T22:24:42Z
dc.date.available2020-09-02T22:24:42Z
dc.date.issued2017
dc.identifier10.1007/978-3-319-58750-9_64
dc.identifier.citation713, , 465-468
dc.identifier.issn18650929
dc.identifier.urihttps://hdl.handle.net/20.500.12728/5615
dc.descriptionDuring the last years, sentimental computing has gained special attention as the improvements achieved related to human affects, which are required abilities for many HCI applications. Particularly, sentimental analysis has successfully been used on social networks to extract useful information for different purposes. However the task remain difficult due to the several complex requirements that the correct human affect analysis implies. In this paper we propose a combination of sentimental and content analysis for the recognition and interpretation of human affects. We provide interesting results using as case study the #NiUnaMenos (Not One Less) social movement, which demands for an end to femicide and violence against women. © Springer International Publishing AG 2017.
dc.language.isoen
dc.publisherSpringer Verlag
dc.sourceStephanidis C.
dc.subjectAffective computing
dc.subjectContent analysis
dc.subjectEmotional computing
dc.subjectSocial networks
dc.subjectComplex networks
dc.subjectSocial networking (online)
dc.subjectSocial sciences computing
dc.subjectAffect analysis
dc.subjectAffective Computing
dc.subjectContent analysis
dc.subjectEmotional computing
dc.subjectSocial movements
dc.subjectHuman computer interaction
dc.titleCombining sentimental and content analysis for recognizing and interpreting human affects
dc.typeConference Paper


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