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Conference Papers Year : 2017

IRIT at e-Risk

Abstract

In this paper, we present the method we developed when participating to the e-Risk pilot task. We use machine learning in order to solve the problem of early detection of depressive users in social media relying on various features that we detail in this paper. We submitted 4 models which differences are also detailed in this paper. Best results were obtained when using a combination of lexical and statistical features.

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Dates and versions

hal-01912779 , version 1 (05-11-2018)

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  • HAL Id : hal-01912779 , version 1
  • OATAO : 19082

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Idriss Abdou Malam, Mohamed Arziki, Mohammed Nezar Bellazrak, Farah Benamara, Assafa El Kaidi, et al.. IRIT at e-Risk. 8th International Conference of the CLEF Association (CLEF 2017), Sep 2017, Dublin, Ireland. pp.1-7. ⟨hal-01912779⟩
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