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

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Advances in Information Retrieval (ECIR 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13982))

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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.

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Notes

  1. 1.

    https://irlab.org/psyprof.mp4.

  2. 2.

    https://github.com/palomapiot/early.

  3. 3.

    https://github.com/palomapiot/profiler-buddy.

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Acknowledgements

This 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.

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Authors and Affiliations

  1. Information Retrieval Lab, CITIC, Universidade da Coruña, Campus de Elviña s/n, 15071, A Coruña, Spain

    Anxo Pérez, Paloma Piot-Pérez-Abadín, Javier Parapar & Álvaro Barreiro

Authors
  1. Anxo Pérez
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  2. Paloma Piot-Pérez-Abadín
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  3. Javier Parapar
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  4. Álvaro Barreiro
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Corresponding author

Correspondence to Anxo Pérez .

Editor information

Editors and Affiliations

  1. University of Amsterdam, Amsterdam, The Netherlands

    Jaap Kamps

  2. Université Grenoble-Alpes, Saint-Martin-d’Hères, France

    Lorraine Goeuriot

  3. Università della Svizzera Italiana, Lugano, Switzerland

    Fabio Crestani

  4. University of Copenhagen, Copenhagen, Denmark

    Maria Maistro

  5. University of Tsukuba, Ibaraki, Japan

    Hideo Joho

  6. Dublin City University, Dublin, Ireland

    Brian Davis

  7. Dublin City University, Dublin, Ireland

    Cathal Gurrin

  8. Universität Regensburg, Regensburg, Germany

    Udo Kruschwitz

  9. Dublin City University, Dublin, Ireland

    Annalina Caputo

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Pérez, 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_30

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  • DOI: https://doi.org/10.1007/978-3-031-28241-6_30

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-28240-9

  • Online ISBN: 978-3-031-28241-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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