Real-Time Event Detection from Social Media Using Big Data Analytics
Napat Sukthong · 2025
The increasing reliance on social media as a primary information source has heightened the need for efficient real-time event detection. This study introduces a scalable framework that leverages big data analytics, natural language processing (NLP), and machine learning to identify emerging events with high accuracy. Our methodology integrates streaming data processing, deep learning-based text analysis, and graph-based clustering. The proposed model demonstrates superior performance in detecting real-world events while effectively filtering misinformation and reducing noise, as evidenced by experimental evaluation. The results suggest that our approach enhances the accuracy and efficiency of event detection in social media streams, making it a valuable tool for emergency response, public safety, and news verification [1][2].