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EmoTwiCS: a corpus for modelling emotion trajectories in Dutch customer service dialogues on Twitter

 
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.accessioned2024-08-08T10:12:28Z
dc.date.available2024
dc.date.available2024-08-08T10:12:28Z
dc.date.embargo2023-12-08
dc.date.issued2024
dc.description.wosFundingTextThis research received funding from the Flemish Government under the Research Program Artificial Intelligence - 174Z05623 (2023). The research also received funding from the Research Foundation Flanders (FWO-Vlaanderen) with grant number 1S96322N. We would also like to thank the anonymous reviewers for their constructive and insightful feedback.
dc.identifier.doi10.1007/s10579-023-09700-0
dc.identifier.issn1574-020X
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/43285
dc.publisherSPRINGER
dc.source.beginpage505
dc.source.endpage546
dc.source.issue/
dc.source.journalLANGUAGE RESOURCES AND EVALUATION
dc.source.numberofpages42
dc.source.volume58
dc.subject.keywordsEXPRESSION
dc.subject.keywordsCAPTURES
dc.subject.keywordsFUTURE
dc.subject.keywordsMEDIA
dc.title

EmoTwiCS: a corpus for modelling emotion trajectories in Dutch customer service dialogues on Twitter

dc.typeJournal article
dspace.entity.typePublication
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