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Sarcasm and Sentiment Detection in Arabic: Investigating the Interest of Character-level Features

Abstract : We present three methods developed for the Shared Task on Sarcasm and Sentiment Detection in Arabic. We present a baseline that uses character n-gram features. We also propose two more sophisticated methods: a recurrent neural network with a word level representation and an ensemble classifier relying on word and character-level features. We chose to present results from an ensemble classifier but it was not very successful as compared to the best systems : 22th/37 on sarcasm detection and 15th/22 on sentiment detection. It finally appeared that our baseline could have been improved and beat those results.
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https://hal.sorbonne-universite.fr/hal-03208134
Contributor : Gestionnaire Hal-Su <>
Submitted on : Monday, April 26, 2021 - 12:22:00 PM
Last modification on : Wednesday, April 28, 2021 - 3:36:23 AM

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2021.wanlp-1.41.pdf
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  • HAL Id : hal-03208134, version 1

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Dhaou Ghoul, Gaël Lejeune. Sarcasm and Sentiment Detection in Arabic: Investigating the Interest of Character-level Features. ACL Anthology, 2021. ⟨hal-03208134⟩

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