Jarallah Alqahtani
Papers
1
Total Citations
8
H-Index
1
About
Dr. Jarallah Alqahtani is a leading researcher at the intersection of computational intelligence, social media analytics, and behavioral finance. His work focuses on developing advanced sentiment analysis techniques to extract actionable insights from semantically interoperable social media platforms, enabling more accurate predictions of market behaviors influenced by online discourse. His most cited paper, "Sentiment Analysis of Semantically Interoperable Social Media Platforms Using Computational Intelligence Techniques" (2023, 8 citations), demonstrates how competitive intelligence derived from social media can model the high-growth, unpredictable variables affecting global financial systems. By integrating semantic interoperability with machine learning, Dr. Alqahtani has pioneered methods that capture the nuanced, real-time sentiment driving investor decisions—a critical advancement for both academic theory and practical financial forecasting. His contributions are particularly notable for addressing the challenge of unpredicted weekly variables in social media data, offering robust frameworks for behavioral finance. With a growing citation record and a focus on emerging, high-impact domains, Dr. Alqahtani is shaping how researchers and practitioners harness social media for competitive intelligence in an increasingly interconnected digital economy.
Research Focus
Key Achievements
Top Papers
- 1