Arabic Tweet

Research on Arabic tweets focuses on leveraging natural language processing (NLP) techniques to analyze their content for various purposes, including sentiment analysis, hate speech detection, and the identification of specific speech acts or stances towards topics like rumors or vaccination. Current research heavily utilizes pre-trained transformer models, often employing ensemble methods and data augmentation strategies to address challenges such as data imbalance and dialectal variations in Arabic. These studies are significant for advancing NLP capabilities in low-resource languages and have practical implications for social media monitoring, public health initiatives, and the mitigation of online harms.