Real-time sentiment analysis of Saudi dialect tweets using SPARK

In recent years the flow of Saudi dialect big data in social media has enforced different sentiment analysis techniques to know the trends of the Saudi users towards different issues and events. The currents techniques analyze this amount of data in off-line manner which can't support the real-time decision making in the critical issues. Real-time analytics on stream data have been given attention in different languages and different dialects such as English, which has not been given yet in Saudi dialect. Real-time aims to answer queries “right-now”. In this work we intend to propose and develop a real-time solution for Saudi dialect in Twitter. The proposed solution supports the process of stream data in real time.