This paper describes the systems developed by the BiTeM team for the CLEF eRisk Task 1 and 2, 2019. The goal was to predict the risk of anorexia and self-harm from user-generated content on Reddit. Several approaches based on supervised learning were used to estimate the risk of anorexia and self-harm. The systems were able to achieve low to moderate results.
Détails
Titre
A baseline approach for early detection of signs of anorexia and self-harm in reddit posts
Auteur(s)/ trice(s)
Naderi, Nona (Haute école de gestion de Genève, HES-SO Haute Ecole Spécialisée de Suisse Occidentale ; Swiss Institute of Bioinformatics, Geneva, Switzerland ; University of Toronto, Canada) Gobeill, Julien (Haute école de gestion de Genève, HES-SO Haute Ecole Spécialisée de Suisse Occidentale ; Swiss Institute of Bioinformatics, Geneva, Switzerland) Teodoro, Douglas (Haute école de gestion de Genève, HES-SO Haute Ecole Spécialisée de Suisse Occidentale ; Swiss Institute of Bioinformatics, Geneva, Switzerland) Pasche, Emilie (Haute école de gestion de Genève, HES-SO Haute Ecole Spécialisée de Suisse Occidentale ; Swiss Institute of Bioinformatics, Geneva, Switzerland) Ruch, Patrick (Haute école de gestion de Genève, HES-SO Haute Ecole Spécialisée de Suisse Occidentale ; Swiss Institute of Bioinformatics, Geneva, Switzerland)
Date
2019-09
Publié dans
Proceedings of CLEF (Conference and Labs of the Evaluation Forum) 2019 Working Notes
Publié par
Lugano, Switzerland, 9-12 September 2019
Pagination
12 p.
Présenté à
CLEF (Conference and Labs of the Evaluation Forum) 2019, Lugano, Switzerland, 2019-09-09, 2019-09-12