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Communication Dans Un Congrès Année : 2017

SOUKHRIA: Towards an Irony Detection System for Arabic in Social Media

Résumé

This paper presents a supervised learning method for irony detection in Arabic tweets. A binary classifier uses four groups of features whose efficiency has been empirically proved in other languages such as French, English, Italian, Dutch and Japanese. Our first results are encouraging and show that state of the art features can be successfully applied to Arabic language with an accuracy of 72.76%.
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Dates et versions

hal-01686504 , version 1 (23-01-2018)

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Jihen Karoui, Farah Benamara, Veronique Moriceau. SOUKHRIA: Towards an Irony Detection System for Arabic in Social Media. 3rd International Conference on Arabic Computational Linguistics, Nov 2017, Dubaï, United Arab Emirates. pp.161 - 168, ⟨10.1016/j.procs.2017.10.105⟩. ⟨hal-01686504⟩
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