Search Results for author: Zuhair Khayyat

Found 2 papers, 0 papers with code

Overview of the Arabic Sentiment Analysis 2021 Competition at KAUST

no code implementations29 Sep 2021 Hind Alamro, Manal Alshehri, Basma Alharbi, Zuhair Khayyat, Manal Kalkatawi, Inji Ibrahim Jaber, Xiangliang Zhang

From our recently released ASAD dataset, we provide the competitors with 55K tweets for training, and 20K tweets for validation, based on which the performance of participating teams are ranked on a leaderboard, https://www. kaggle. com/c/arabic-sentiment-analysis-2021-kaust.

Arabic Sentiment Analysis

ASAD: A Twitter-based Benchmark Arabic Sentiment Analysis Dataset

no code implementations1 Nov 2020 Basma Alharbi, Hind Alamro, Manal Alshehri, Zuhair Khayyat, Manal Kalkatawi, Inji Ibrahim Jaber, Xiangliang Zhang

This paper provides a detailed description of a new Twitter-based benchmark dataset for Arabic Sentiment Analysis (ASAD), which is launched in a competition3, sponsored by KAUST for awarding 10000 USD, 5000 USD and 2000 USD to the first, second and third place winners, respectively.

Arabic Sentiment Analysis

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