REAL TIME SOCIAL MEDIA ANALYTICS USING AWS

Abstract

Social media platforms generate massive volumes of real-time data that contain valuable insights for businesses and organizations. Traditional analytics systems struggle to process this data efficiently due to scalability and latency issues. This project proposes a Real-Time Social Media Analytics System using Amazon Web Services (AWS). The system collects streaming social media data and processes it in real time using cloud-based services. AWS provides scalable infrastructure to handle high data velocity and volume. Machine learning techniques are applied to analyse sentiments, trends, and engagement metrics. Real-time dashboards visualize insights for decision-makers. Automated alerts help detect viral events and negative sentiments. The system ensures high availability and fault tolerance. This project demonstrates how AWS can support real-time big data analytics effectively.