A Baseline Approach for Early Detection of Signs of Anorexia and Self-harm in Reddit Posts

Naderi, Nona; Gobeill, Julien; Teodoro, Douglas; Pasche, Emilie; Ruch, Patrick

Proceedings chapter/article (contribution published in proceedings)

English

A Baseline Approach for Early Detection of Signs of Anorexia and Self-harm in Reddit Posts

ContributorsNaderi, Nona; Gobeill, Julien; Teodoro, Douglas

; Pasche, Emilie; Ruch, Patrick

Presented atLugano, Switzerland, September 9-12, 2019

Published inProceedings of CLEF (Conference and Labs of the Evaluation Forum) 2019 Working Notes

Collection

CEUR Workshop Proceedings; 2380

Publication date2019

Abstract

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.

Keywords

Natural Language Processing
Text Mining
Mental health

Affiliation entities

Not a UNIGE publication

Research groups

DS4DH - Data Science for Digital Health (1035)

Citation (ISO format)

NADERI, Nona et al. A Baseline Approach for Early Detection of Signs of Anorexia and Self-harm in Reddit Posts. In: Proceedings of CLEF (Conference and Labs of the Evaluation Forum) 2019 Working Notes. Lugano, Switzerland. [s.l.] : [s.n.], 2019. (CEUR Workshop Proceedings)