Skip to content
GCC AI Research

Search

Results for "Arabic Sentiment Analysis"

Overview of the Arabic Sentiment Analysis 2021 Competition at KAUST

arXiv ·

KAUST organized an Arabic Sentiment Analysis Challenge where participants developed ML models to classify tweets as positive, negative, or neutral. The competition used the ASAD dataset with 55K tweets for training, 20K for validation, and 20K for final evaluation. The full dataset of 100K labeled tweets has been released for public use.

ASAD: A Twitter-based Benchmark Arabic Sentiment Analysis Dataset

arXiv ·

Researchers introduce ASAD, a new large-scale, high-quality Arabic Sentiment Analysis Dataset based on 95K tweets with positive, negative, and neutral labels. The dataset is launched with a competition sponsored by KAUST offering a total of 17000 USD in prizes. Baseline models are implemented and results reported to provide a reference for competition participants.