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

Anxo Pérez, Paloma Piot-Perez-Abadin, Javier Parapar, Álvaro Barreiro

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.