Overview of eRisk 2021: Early Risk Prediction on the Internet

TítuloOverview of eRisk 2021: Early Risk Prediction on the Internet
AutoresJavier Parapar, Patricia Martín Rodilla, David E. Losada, Fabio Crestani
TipoComunicación para congreso
Fonte 12th International Conference of the CLEF Association, CLEF 2021, Bucarest, Romanía, 2021.
ISBN978-3-030-85250-4
DOI10.1007/978-3-030-85251-1
AbstractThis paper gives an outline of eRisk 2021, the CLEF conference's fifth edition of this lab. The main goal of eRisk is to explore issues of evaluation methodology, effectiveness metrics and other processes related to early risk detection. Early alerting models may be used in a variety of situations, including those involving health and safety. This edition of eRisk had three tasks. The first task focused on early detecting signs of pathological gambling. The second challenge was to spot early signs of self-harm. The third required participants to fill out a depression questionnaire (automatically, based on user writings on social media)
Palabras chaveEarly risk, Pathological gambling, Self-harm, Depression