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Emotional evaluation of open-ended responses with transformer models

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dc.contributor.authorPajón-Sanmartín, Alejandro
dc.contributor.authorDe Arriba Pérez, Francisco
dc.contributor.authorGarcía Méndez, Silvia
dc.contributor.authorBurguillo, Juan C.
dc.contributor.authorLeal, Fátima
dc.contributor.authorMalheiro, Benedita
dc.date.accessioned2024-07-30T15:55:56Z
dc.date.available2024-07-30T15:55:56Z
dc.date.issued2024
dc.descriptionThis work was partially supported by: (i) Xunta de Galicia grants ED481B-2021-118 and ED481B-2022-093, Spain; and (ii) Portuguese national funds through FCT – Fundação para a Ciência e a Tecnologia (Portuguese Foundation for Science and Technology) – as part of project UIDB/50014/2020 (DOI: 10.54499 /UIDP/50014/2020 | https://doi.org/10.54499/UIDP/50014/2020).pt_PT
dc.description.abstractThis work applies Natural Language Processing (NLP) techniques, specifically transformer models, for the emotional evaluation of open-ended responses. Today’s powerful advances in transformer architecture, such as ChatGPT, make it possible to capture complex emotional patterns in language. The proposed transformer-based system identifies the emotional features of various texts. The research employs an innovative approach, using prompt engineering and existing context, to enhance the emotional expressiveness of the model. It also investigates spaCy’s capabilities for linguistic analysis and the synergy between transformer models and this technology. The results show a significant improvement in emotional detection compared to traditional methods and tools, highlighting the potential of transformer models in this domain. The method can be implemented in various areas, such as emotional research or mental health monitoring, creating a much richer and complete user profile.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationPajón-Sanmartín, A., de Arriba-Pérez, F., García-Méndez, S., Burguillo, J.C., Leal, F., Malheiro, B. (2024). Emotional Evaluation of Open-Ended Responses with Transformer Models. In: Rocha, Á., Adeli, H., Dzemyda, G., Moreira, F., Poniszewska-Marańda, A. (eds) Good Practices and New Perspectives in Information Systems and Technologies. WorldCIST 2024. Lecture Notes in Networks and Systems, vol 985. Springer, Cham. https://doi.org/10.1007/978-3-031-60215-3_3pt_PT
dc.identifier.doi10.1007/978-3-031-60215-3_3pt_PT
dc.identifier.issn978-3-031-60215-3
dc.identifier.urihttp://hdl.handle.net/10400.22/25861
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherSpringerpt_PT
dc.relationINESC TEC- Institute for Systems and Computer Engineering, Technology and Science
dc.relationINESC TEC- Institute for Systems and Computer Engineering, Technology and Science
dc.relation.publisherversionhttps://link.springer.com/chapter/10.1007/978-3-031-60215-3_3pt_PT
dc.subjectEmotional analysispt_PT
dc.subjectTransformerspt_PT
dc.subjectPrompt engineeringpt_PT
dc.subjectLanguage-based Emotion Recognitionpt_PT
dc.subjectGPT-3.5pt_PT
dc.subjectSpaCypt_PT
dc.titleEmotional evaluation of open-ended responses with transformer modelspt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.awardTitleINESC TEC- Institute for Systems and Computer Engineering, Technology and Science
oaire.awardTitleINESC TEC- Institute for Systems and Computer Engineering, Technology and Science
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F50014%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F50014%2F2020/PT
oaire.citation.conferencePlaceLodz University of Technology, Lodz, Polandpt_PT
oaire.citation.endPage32pt_PT
oaire.citation.startPage23pt_PT
oaire.citation.titleWorldCIST 2024pt_PT
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
person.familyNamede Arriba Pérez
person.familyNameGarcía Méndez
person.familyNameBurguillo Rial
person.familyNameLeal
person.familyNameBENEDITA CAMPOS NEVES MALHEIRO
person.givenNameFrancisco
person.givenNameSilvia
person.givenNameJuan Carlos
person.givenNameFátima
person.givenNameMARIA
person.identifier.ciencia-id2211-3EC7-B4B6
person.identifier.ciencia-id7A15-08FC-4430
person.identifier.orcid0000-0002-1140-679X
person.identifier.orcid0000-0003-0533-1303
person.identifier.orcid0000-0001-9869-7448
person.identifier.orcid0000-0003-4418-2590
person.identifier.orcid0000-0001-9083-4292
person.identifier.ridD-2450-2018
person.identifier.ridABF-4227-2020
person.identifier.ridE-9091-2016
person.identifier.ridY-3460-2019
person.identifier.scopus-author-id56891654000
person.identifier.scopus-author-id57201127684
person.identifier.scopus-author-id57190765181
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsclosedAccesspt_PT
rcaap.typeconferenceObjectpt_PT
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