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

Published: 02 April 2023 Publication History

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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Cited By

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  • (2024)Reading Between the Frames: Multi-modal Depression Detection in Videos from Non-verbal CuesAdvances in Information Retrieval10.1007/978-3-031-56027-9_12(191-209)Online publication date: 24-Mar-2024

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Published In

cover image Guide Proceedings
Advances in Information Retrieval: 45th European Conference on Information Retrieval, ECIR 2023, Dublin, Ireland, April 2–6, 2023, Proceedings, Part III
Apr 2023
634 pages
ISBN:978-3-031-28240-9
DOI:10.1007/978-3-031-28241-6

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Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 02 April 2023

Author Tags

  1. Depression estimation
  2. Author profiling
  3. BDI-II

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  • (2024)Reading Between the Frames: Multi-modal Depression Detection in Videos from Non-verbal CuesAdvances in Information Retrieval10.1007/978-3-031-56027-9_12(191-209)Online publication date: 24-Mar-2024

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