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Ngo, Anh; Candri, Argi; Ferdinan, Teddy; Kocoń, Jan and Korczyński, Wojciech, 2022, StudEmo - corpus of consumer reviews annotated with emotions, CLARIN-PL Repository, http://hdl.handle.net/11321/895.
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dc.contributor.authorNgo, Anh
dc.contributor.authorCandri, Argi
dc.contributor.authorFerdinan, Teddy
dc.contributor.authorKocoń, Jan
dc.contributor.authorKorczyński, Wojciech
dc.date.accessioned2022-05-20T10:00:06Z
dc.date.available2022-05-20T10:00:06Z
dc.date.issued2022-05-20
dc.descriptionHumans' emotional perception is subjective by nature, in which each individual could express different emotions regarding the same textual content. Existing datasets for emotion analysis commonly depend on a single ground truth per data sample, derived from majority voting or averaging the opinions of all annotators. We introduce a new non-aggregated dataset, namely StudEmo, that contains 5,182 customer reviews, each annotated by 25 people with intensities of eight emotions from Plutchik's model, extended with valence and arousal. We also propose three personalized models that use not only textual content but also the individual human perspective, providing the model with different approaches to learning human representations. The experiments were carried out as a multitask classification on two datasets: our StudEmo dataset and GoEmotions dataset, which contains 28 emotional categories. The proposed personalized methods significantly improve prediction results, especially for emotions that have low inter-annotator agreement.
dc.identifier.urihttp://hdl.handle.net/11321/895
dc.language.isoeng
dc.publisherWrocław University of Science and Technology
dc.rightsCreative Commons - Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
dc.rights.labelPUB
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.source.urihttps://github.com/CLARIN-PL/personalized-nlp/tree/nlperspectives
dc.subjectemotion recognition
dc.subjectpersonalization
dc.subjectnon-aggregated dataset
dc.subjectlearning human representation
dc.titleStudEmo - corpus of consumer reviews annotated with emotions
dc.typecorpus
local.contact.personJan Kocoń jan.kocon@pwr.edu.pl Wrocław University of Science and Technology
local.files.count1
local.files.size1599141
local.has.filesyes
local.language.nameEnglish
local.size.info5182 texts
metashare.ResourceInfo#ContentInfo.mediaTypetext

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