Mental Distress Detection and Triage in Forum Posts: The LT3 CLPsych 2016 Shared Task System

TitleMental Distress Detection and Triage in Forum Posts: The LT3 CLPsych 2016 Shared Task System
Publication TypeConference Paper
Year of Publication2016
AuthorsDesmet, B, Jacobs, G, Hoste, V
Conference NameThe 15th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
PublisherAssociation for Computational Linguistics
Conference LocationSan Diego, California
AbstractThis 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.
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