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Hope speech detection in Spanish. The LGBT case

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dc.contributor.authorGarcía‑Baena, Daniel
dc.contributor.authorGarcía‑Cumbreras, Miguel Ángel
dc.contributor.authorJiménez‑Zafra, Salud María
dc.contributor.authorGarcía Díaz, José Antonio
dc.contributor.authorValencia García, Rafael
dc.contributor.departmentInformática y Sistemas
dc.contributor.otherFacultad de Informática
dc.date.accessioned2026-02-24T16:57:44Z
dc.date.available2026-02-24T16:57:44Z
dc.date.issued2023-03-17
dc.description.abstractIn recent years, systems have been developed to monitor online content and remove abusive, offensive or hateful content. Comments in online social media have been analyzed to find and stop the spread of negativity using methods such as hate speech detection, identification of offensive language or detection of abusive language. We define hope speech as the type of speech that is able to relax a hostile environment and that helps, gives suggestions and inspires for good to a number of people when they are in times of illness, stress, loneliness or depression. Detecting it automatically, in order to give greater diffusion to positive comments, can have a very significant effect when it comes to fighting against sexual or racial discrimination or when we intend to foster less bellicose environments. In this article we perform a complete study on hope speech in Spanish, analyzing existing solutions and available resources. In addition, we have generated a quality resource, a new Twitter dataset on LGBT community, and we have conducted some experiments that can serve as a baseline for further research.
dc.formatapplication/pdf
dc.format.extent28
dc.identifier.citationGarcía-Baena, D., García-Cumbreras, M. Á., Jiménez-Zafra, S. M., García-Díaz, J. A., & Valencia-García, R. (2023). Hope speech detection in spanish: The lgbt case. Language Resources and Evaluation, 57(4), 1487-1514.
dc.identifier.doihttps://doi.org/10.1007/s10579-023-09638-3
dc.identifier.eissn1574-0218
dc.identifier.issn1574-020X
dc.identifier.urihttp://hdl.handle.net/10201/212521
dc.languageeng
dc.publisherSpringer
dc.relationThis work has been partially supported by Project CONSENSO (PID2021-122263OB-C21), Project MODERATES (TED2021-130145B-I00) and Project SocialTox (PDC2022-133146-C21) funded by MCIN/AEI/10.13039/501100011033 and by the European Union NextGenerationEU/PRTR, Project LaTe4PSP (PID2019-107652RB-I00/AEI/ 10.13039/501100011033) funded by MCIN/AEI/10.13039/501100011033, Project AlInFunds (PDC2021-121112-I00) and Project LT-SWM (TED2021-131167B-I00) funded by MCIN/AEI/10.13039/501100011033 and by the European Union NextGenerationEU/PRTR, Project PID2020-116118GA-I00 supported by MICINN/AEI/10.13039/501100011033, Project PID2020-119478GB-I00 supported by MICINN/AEI/10.13039/501100011033, and Big Hug project (P20_00956, PAIDI 2020) and WeLee project (1380939, FEDER Andalucía 2014-2020) funded by the Andalusian Regional Government. Salud María Jiménez-Zafra has been partially supported by a grant from Fondo Social Europeo and Administración de la Junta de Andalucía (DOC_01073). José Antonio García-Díaz has been supported by Banco Santander and University of Murcia through the industrial doctorate programme.
dc.relation.publisherversionhttps://link.springer.com/article/10.1007/s10579-023-09638-3
dc.relation.requireshttps://zenodo.org/records/18759629
dc.rightsAttribution4.0 International*
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectNatural language processing
dc.subjectDeep learning
dc.subjectHope speech
dc.subjectLanguage that relaxes hostile environments
dc.subjectLanguage that promotes equality
dc.subjectDiversity and inclusion
dc.subject.odsObjetivo 10: Reducir las desigualdades entre países y dentro de ellos
dc.titleHope speech detection in Spanish. The LGBT case
dc.typeinfo:eu-repo/semantics/article
dc.type.versioninfo:eu-repo/semantics/publishedVersion
dspace.entity.typePublicationes
relation.isAuthorOfPublication14ca7de1-eef1-42b4-9649-b765516ea4f3
relation.isAuthorOfPublicationab591422-699c-4535-8e8f-fd09f0e90ec2
relation.isAuthorOfPublication.latestForDiscovery14ca7de1-eef1-42b4-9649-b765516ea4f3
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