This paper explores the use of AI and social media analytics to detect sustainability trends in Saudi Arabia's evolving market, in line with Vision 2030. The study processes millions of social media posts, news articles, and blogs to understand sustainability trends across various sectors. The AI-driven methodology offers sector-specific and cross-sector insights, providing decision-makers with a snapshot of market shifts, and can be adapted to other regions.
This paper explores how AI and social media analytics can identify and track trends in Saudi Arabia across sectors such as construction, food and beverage, tourism, technology, and entertainment. The study analyzed millions of social media posts each month, classifying discussions and calculating scores to track trends. The AI-driven methodology was able to predict the emergence and growth of trends by utilizing social media data.
MBZUAI is prioritizing natural language processing (NLP) research, aiming to be a top university in the field within 12-18 months according to Professor Timothy Baldwin. MBZUAI's NLP department is focusing on deep learning, algorithmic fairness, computational social science and social media analytics. A key area is Arabic NLP, addressing the challenges of dialectal variations and code-switching in social media. Why it matters: This focus on Arabic NLP and real-world problem-solving will contribute to the UAE's ambitious agenda of growing a local AI industry and integrating AI into various sectors.