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Results for "emotion detection"

MultiProSE: A Multi-label Arabic Dataset for Propaganda, Sentiment, and Emotion Detection

arXiv ·

The paper introduces MultiProSE, the first multi-label Arabic dataset for propaganda, sentiment, and emotion detection. It extends the existing ArPro dataset with sentiment and emotion annotations, resulting in 8,000 annotated news articles. Baseline models, including GPT-4o-mini and BERT-based models, were developed for each task, and the dataset, guidelines, and code are publicly available. Why it matters: This resource enables further research into Arabic language models and a better understanding of opinion dynamics within Arabic news media.

AI for all: Unlocking an inclusive future with technology

MBZUAI ·

The Special Olympics Global Center Summit in Abu Dhabi convened 300 advocates to discuss social inclusion for individuals with intellectual disabilities. A panel including MBZUAI's Elizabeth Churchill highlighted AI's role in inclusive technology design, especially in education. Churchill noted AI can personalize learning through tailored regimens, emotion detection, and understanding cognitive patterns. Why it matters: AI-driven personalization has potential to transform education and accessibility for children of determination and other underrepresented groups in the region.