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Suicide risk assessment on social media: USI-UPF at the CLPsych 2019 shared task

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dc.contributor.author Ríssola, Esteban A.
dc.contributor.author Ramíırez-Cifuentes, Diana
dc.contributor.author Freire, Ana
dc.contributor.author Crestani, Fabio
dc.date.accessioned 2020-04-28T10:26:21Z
dc.date.available 2020-04-28T10:26:21Z
dc.date.issued 2019
dc.identifier.citation Ríssola EA, Ramírez-Cifuentes D, Freire A, Crestani F. Suicide risk assessment on social media: USI-UPF at the CLPsych 2019 shared task. In: Proceedings of the Sixth Workshop on Computational Linguistics and Clinical Psychology: 2019 Jun 6; Minneapolis, Minnesota, USA. Stroudsburg: ACL; 2019. p. 167–71. DOI: 10.18653/v1/W19-3021
dc.identifier.uri http://hdl.handle.net/10230/44358
dc.description Comunicació presentada a: The Sixth Workshop on Computational Linguistics and Clinical Psychology, celebrat el 6 de juny de 2019 a Minneapolis, Minnesota, Estats Units d'Amèrica.
dc.description.abstract This paper describes the participation of the USI-UPF team at the shared task of the 2019 Computational Linguistics and Clinical Psychology Workshop (CLPsych2019). The goal is to assess the degree of suicide risk of social media users given a labelled dataset with their posts. An appropriate suicide risk assessment, with the usage of automated methods, can assist experts on the detection of people at risk and eventually contribute to prevent suicide. We propose a set of machine learning models with features based on lexicons, word embeddings, word level n-grams, and statistics extracted from users’ posts. The results show that the most effective models for the tasks are obtained integrating lexicon-based features, a selected set of n-grams, and statistical measures.
dc.description.sponsorship This work was partially supported by the Spanish Ministry of Economy and Competitiveness under the Maria de Maeztu Units of Excellence Programme (MDM-2015-0502).
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher ACL (Association for Computational Linguistics)
dc.relation.ispartof Proceedings of the Sixth Workshop on Computational Linguistics and Clinical Psychology: 2019 Jun 6; Minneapolis, Minnesota, USA. Stroudsburg: ACL; 2019. p. 167–71.
dc.rights © ACL, Creative Commons Attribution 4.0 License
dc.rights.uri https://creativecommons.org/licenses/by/4.0/
dc.title Suicide risk assessment on social media: USI-UPF at the CLPsych 2019 shared task
dc.type info:eu-repo/semantics/conferenceObject
dc.identifier.doi http://dx.doi.org/10.18653/v1/W19-3021
dc.rights.accessRights info:eu-repo/semantics/openAccess
dc.type.version info:eu-repo/semantics/publishedVersion

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