Overview of the Arabic Sentiment Analysis 2021 Competition at KAUST
arXiv · · Notable
Summary
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.
Keywords
Arabic Sentiment Analysis · KAUST · ASAD dataset · machine learning · tweet classification
Get the weekly digest
Top AI stories from the GCC region, every week.