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UDE at eRisk 2019: Early Risk Prediction on the Internet

Masood, Razan and Ramiandrisoa, Faneva and Aker, Ahmet UDE at eRisk 2019: Early Risk Prediction on the Internet. (2019) In: Conference and Labs of the Evaluation Forum, Living Labs (CLEF 2019), 9 September 2019 - 12 September 2019 (Lugano, Switzerland).

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Official URL: http://ceur-ws.org/Vol-2380/

Abstract

In this paper, we describe our participation in CLEF eRisk workshop. eRisk 2019 is the third edition of this track3, which was first introduced in 2017. In the current edition, the organizers are targeting Social Media users, namely Reddit, who may be under the risk of Anorexia, self-harm, and depression. We participated in both tasks ofearly risk detection of Anorexia and self-harm. Our predictions are basedon Natural Language Processing using supervised machine learning with Support Vector Machines (SVM) and neural networks. SVM gave the best results among our five submitted models with latency-weighted F1of 0.58 andERDE5of 0.08 andERDE50of 0.04 for Anorexia detection task, while our more complicated neural network models did not show the desired performances.

Item Type:Conference or Workshop Item (Paper)
Additional Information:Thanks to CEUR editor, a free open-access publication service of Sun SITE Central Europe operated under the umbrella of RWTH Aachen University. This paper appears in vol 2380 Ceur Workshop Proceedings ISSN : 1613-0073 The definitive version is available at http://ceur-ws.org/Vol-2380/paper_63.pdf
HAL Id:hal-02942351
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)
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 > Universität Duisburg-Essen (GERMANY)
Laboratory name:
Funders:
Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) - GRK 2167, Research Training Group User-Centred Social Media
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Deposited On:28 Aug 2020 11:42

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