Mental distress detection and triage in forum posts: the LT3 CLPsych 2016 shared task system

Publication type
C1
Publication status
Published
Authors
Desmet, B., Jacobs, GMJ, & Hoste, V.
Series
Proceedings of the Third Workshop on Computational Lingusitics and Clinical Psychology
Pagination
148-152
Publisher
Association for Computational Linguistics
Conference
NAACL (San Diego, US)
Download
(.pdf)
View in Biblio
(externe link)

Abstract

This paper describes the contribution of LT3 for the CLPsych 2016 Shared Task on automatic triage of mental health forum posts. Our systems use multiclass Support Vector Machines (SVM), cascaded binary SVMs and ensembles with a rich feature set. The best systems obtain macro-averaged F-scores of 40% on the full task and 80% on the green versus alarming distinction. Multiclass SVMs with all features score best in terms of F-score, whereas feature filtering with bi-normal separation and classifier ensembling are found to improve recall of alarming posts.