Data-driven approach for measuring the severity of the signs of depression using reddit posts : women and men in the orchestra

Rijen, Paul van (Haute école de gestion de Genève, HES-SO // Haute Ecole Spécialisée de Suisse Occidentale ; SIB Text Mining, Swiss Institute of Bioinformatics, Geneva, Switzerland) ; Teodoro, Douglas (Haute école de gestion de Genève, HES-SO // Haute Ecole Spécialisée de Suisse Occidentale ; SIB Text Mining, Swiss Institute of Bioinformatics, Geneva, Switzerland) ; Naderi, Nona (Haute école de gestion de Genève, HES-SO // Haute Ecole Spécialisée de Suisse Occidentale ; SIB Text Mining, Swiss Institute of Bioinformatics, Geneva, Switzerland ; University of Toronto, Canada) ; Mottin, Luc (Haute école de gestion de Genève, HES-SO // Haute Ecole Spécialisée de Suisse Occidentale ; SIB Text Mining, Swiss Institute of Bioinformatics, Geneva, Switzerland) ; Knafou, Julien (Haute école de gestion de Genève, HES-SO // Haute Ecole Spécialisée de Suisse Occidentale ; SIB Text Mining, Swiss Institute of Bioinformatics, Geneva, Switzerland) ; Ruch, Patrick (Haute école de gestion de Genève, HES-SO // Haute Ecole Spécialisée de Suisse Occidentale ; SIB Text Mining, Swiss Institute of Bioinformatics, Geneva, Switzerland)

In response to the CLEF eRisk 2019 shared task on measuring the severity of the signs of depression from threads of user submissions on social media, our team has developed a data-driven, ensemble model approach. Our system leverages word polarities, token extraction via mutual information, keyword expansion and semantic similarities for classifying Reddit posts according to the Beck’s Depression Inventory (BDI). Individual models were combined at the post level by majority voting. The approach achieved a baseline performance for the assessed metrics, including Average Hit Rate and Depression Category Hit Rate, being equivalent to the median system in the limit of one standard deviation.


Keywords:
Conference Type:
full paper
Faculty:
Economie et Services
School:
HEG - Genève
Institute:
CRAG - Centre de Recherche Appliquée en Gestion
Subject(s):
Economie/gestion
Publisher:
Lugano, Switzerland, 9-12 September 2019
Date:
2019-09
Lugano, Switzerland
9-12 September 2019
Pagination:
11 p.
Published in:
Proceedings of CLEF (Conference and Labs of the Evaluation Forum) 2019 Working Notes
External resources:
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 Record created 2019-10-10, last modified 2019-10-22

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