PsyProf: A Platform for Assisted Screening of Depression in Social Media

UDC.coleccionInvestigaciónes_ES
UDC.conferenceTitleECIR 2023es_ES
UDC.departamentoCiencias da Computación e Tecnoloxías da Informaciónes_ES
UDC.endPage306es_ES
UDC.grupoInvInformation Retrieval Lab (IRlab)es_ES
UDC.journalTitleAdvances in Information Retrievales_ES
UDC.startPage300es_ES
UDC.volume13982es_ES
dc.contributor.authorPérez, Anxo
dc.contributor.authorPiot, Paloma
dc.contributor.authorParapar, Javier
dc.contributor.authorBarreiro, Álvaro
dc.date.accessioned2024-10-30T11:19:26Z
dc.date.available2024-10-30T11:19:26Z
dc.date.issued2023-03
dc.descriptionPresented at: 45th European Conference on Information Retrieval, ECIR 2023, Dublin, 2 April 2023 through 6 April 2023.es_ES
dc.descriptionThis version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://dx.doi.org/10.1007/978-3-031-28241-6_30es_ES
dc.description.abstract[Abstract]: Depression is one of the most prevalent mental disorders. For its effective treatment, patients need a quick and accurate diagnosis. Mental health professionals use self-report questionnaires to serve that purpose. These standardized questionnaires consider different depression symptoms in their evaluations. However, mental health stigmas heavily influence patients when filling out a questionnaire. In contrast, many people feel more at ease discussing their mental health issues on social media. This demo paper presents a platform for assisted examination and tracking of symptoms of depression for social media users. In order to bring a broader context, we have complemented our tool with user profiling. We show a platform that helps professionals with data labelling, relying on depression estimators and profiling models.es_ES
dc.description.sponsorshipThis work has received support from projects: PLEC2021-007662 (MCIN/AEI/10.13039/501100011033, Ministerio de Ciencia e Innovación, Agencia Estatal de Investigación, Unión Europea-Next GenerationEU, Spain); Consellería de Educación, Universidade e Formación Profesional, Spain (accreditation 2019-2022 ED431G/01 and GPC ED431B 2022/33) and the European Regional Development Fund, which acknowledges the CITIC Research Center, an ICT of the University of A Coruña as a Research Center of the Galician University System.es_ES
dc.description.sponsorshipXunta de Galicia; ED431G/01es_ES
dc.description.sponsorshipXunta de Galicia; ED431B 2022/33es_ES
dc.identifier.citationPérez, A., Piot-Pérez-Abadín, P., Parapar, J., Barreiro, Á. (2023). PsyProf: A Platform for Assisted Screening of Depression in Social Media. In: Kamps, J., et al. Advances in Information Retrieval. ECIR 2023. Lecture Notes in Computer Science, vol 13982. Springer, Cham. https://doi.org/10.1007/978-3-031-28241-6_30es_ES
dc.identifier.doi10.1007/978-3-031-28241-6_30
dc.identifier.isbn9783031282409
dc.identifier.issn0302-9743
dc.identifier.urihttp://hdl.handle.net/2183/39876
dc.language.isoenges_ES
dc.publisherSpringer Science and Business Media Deutschland GmbHes_ES
dc.relation.ispartofseriesLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)es_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2024/PLEC2021-007662/ES/BIG-eRISK: PREDICCIÓN TEMPRANA DE RIESGOS PERSONALES EN CONJUNTOS DE DATOS MASIVOSes_ES
dc.relation.urihttps://doi.org/10.1007/978-3-031-28241-6_30es_ES
dc.rights© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AGes_ES
dc.rights.accessRightsopen accesses_ES
dc.subjectDepression estimationes_ES
dc.subjectAuthor profilinges_ES
dc.subjectBDI-IIes_ES
dc.titlePsyProf: A Platform for Assisted Screening of Depression in Social Mediaes_ES
dc.typeconference outputes_ES
dspace.entity.typePublication
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