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UniC: a dataset for emotion analysis of videos with multimodal and unimodal labels

 
dc.contributor.authorDu, Quanqi
dc.contributor.authorLabat, Sofie
dc.contributor.authorDemeester, Thomas
dc.contributor.authorHoste, Veronique
dc.contributor.imecauthorDemeester, Thomas
dc.contributor.orcidimecDemeester, Thomas::0000-0002-9901-5768
dc.date.accessioned2025-05-26T13:09:59Z
dc.date.available2025-05-25T05:33:57Z
dc.date.available2025-05-26T13:09:59Z
dc.date.issued2025
dc.description.wosFundingTextThis research received funding from the Flemish Government under the Research Program Artificial Intelligence (174K02325) and from the Research Foundation Flanders (FWO-Vlaanderen) with grant number 1S96322N. We would also like to thank the anonymous reviewers for their valuable and constructive feedback.
dc.identifier.doi10.1007/s10579-025-09837-0
dc.identifier.issn1574-020X
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/45707
dc.publisherSPRINGER
dc.source.beginpage1
dc.source.endpage36
dc.source.issue/
dc.source.journalLANGUAGE RESOURCES AND EVALUATION
dc.source.numberofpages36
dc.source.volume2025
dc.subject.keywordsRECOGNITION
dc.title

UniC: a dataset for emotion analysis of videos with multimodal and unimodal labels

dc.typeJournal article
dspace.entity.typePublication
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