Identification of profession & occupation in Health-related Social Media using tweets in Spanish

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dc.contributor.authorPachón Álvarez, Victoria
dc.contributor.authorMata Vázquez, Jacinto
dc.contributor.authorDomínguez Olmedo, Juan Luis
dc.date.accessioned2026-02-17T10:01:45Z
dc.date.available2026-02-17T10:01:45Z
dc.date.issued2021
dc.descriptionConference Paper presentado en el 6th Workshop and Shared Tasks on Social Media Mining for Health (SMM4H 2021), evento internacional especializado en minería de redes sociales para salud, organizado en el marco de NAACL-HLT 2021. Indexado en Scopus (EID: 2-s2.0-85118327086).
dc.description.abstractIn this paper we present our approach and system description on Task 7a in ProfNer-ST: Identification of profession & occupation in Health related Social Media. Our main contribution is to show the effectiveness of using BETO-Spanish BERT for classification tasks in Spanish. In our experiments we compared several architectures based on transformers with others based on classical machine learning algorithms. With this approach, we achieved an F1-score of 0.92 for the positive class in the evaluation process
dc.description.departmentTecnologías de la Información
dc.identifier.citationVictoria Pachón, Jacinto Mata Vázquez, and Juan Luís Domínguez Olmedo. 2021. Identification of profession & occupation in Health-related Social Media using tweets in Spanish. In Proceedings of the Sixth Social Media Mining for Health (#SMM4H) Workshop and Shared Task, pages 105–107, Mexico City, Mexico. Association for Computational Linguistics.
dc.identifier.isbn978-1-954085-31-2
dc.identifier.urihttps://hdl.handle.net/10272/27977
dc.language.isoeng
dc.publisherAssociation for Computational Linguistics (ACL)
dc.relation.ispartofseriesSocial Media Mining for Health (SMM4H 2021) – Proceedings of the 6th Workshop and Shared Tasks
dc.rightsAttribution 4.0 Internationalen
dc.rights.accessRightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectNatural Language Processing
dc.subjectHealth-related Social Media
dc.subjectSpanish BERT
dc.subjectTransformer Models
dc.subjectText Classification
dc.subject.otherMachine Learning
dc.subject.otherBiomedical NLP
dc.subject.otherSocial Media Analysis
dc.subject.unesco1203.17 Informática
dc.titleIdentification of profession & occupation in Health-related Social Media using tweets in Spanish
dc.typeconference paper
dspace.entity.typePublication
relation.isAuthorOfPublication47cb4892-3513-4d33-953c-8521bc9cb187
relation.isAuthorOfPublicationac76819b-d91a-4158-b947-4a9e827e5e9d
relation.isAuthorOfPublication11d4312c-8591-4e26-b971-740ce012d168
relation.isAuthorOfPublication.latestForDiscovery47cb4892-3513-4d33-953c-8521bc9cb187

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