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Automatic Detection of Depressive Users in Social Media

Benamara, Farah and Moriceau, Véronique and Mothe, Josiane and Ramiandrisoa, Faneva and He, Zhaolong Automatic Detection of Depressive Users in Social Media. (2018) In: Conférence francophone en Recherche d'Information et Applications (CORIA), 16 May 2018 - 18 May 2018 (Rennes, France).

(Document in English)

PDF (Author's version) - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader

Official URL: https://doi.org/10.24348/coria.2018.paper4


According to the World Health Organization, 350 million people worldwide sufferfrom depression. Detecting this trouble constitutes thus a challenge for personal and publichealth. Research in psychology has shown a strong correlation between the psychological stateof an individual and its language use. In this paper, we propose to leverage such linguisticfeatures to automatically detect depressive users on social media posts. Our approach is super-vised and relies on a set of features going from standard bag of words and surface features tomore linguistically informed features. This approach has been evaluated on Reddit social mediaposts and applied on two tasks: (a) Given user’s posts, detect whether the author is depressiveor not, (b) Given a user’s history of writings, early detect signs of depression. Our results showthat our approach is reliable on both tasks.

Item Type:Conference or Workshop Item (Paper)
Additional Information:Thanks to ARIA (Association francophone de Recherche d’Information et Applications). The original PDF of the article can be found at http://www.asso-aria.org/lp/2018/coria.2018.paper4.html
HAL Id:hal-02942297
Audience (conference):International conference proceedings
Uncontrolled Keywords:
Institution:French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE)
Other partners > Université Paris-Saclay (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UT3 (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
Other partners > Université Paris-Sud 11 (FRANCE)
Laboratory name:
Deposited On:28 Aug 2020 12:51

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