Cross Event Detection and Topic Evolution Mining in cross events for Man Made Disasters in Social Media Streams

1. 1Collect and preprocess social media data related to man-made disasters
2. 2Apply cross-event detection algorithms to identify related events
3. 3Use topic modeling techniques to analyze topic evolution over time
4. 4Evaluate the effectiveness of the proposed method using metrics such as accuracy and F1-score

Data scientists and AI engineers on a team can benefit from this research to improve their social media monitoring and analysis capabilities, particularly in the context of disaster response and management

💡 The proposed method can help identify related events and track topic evolution in social media streams, enabling more effective disaster response and management

🚨 Detecting cross-events and tracking topic evolution in social media streams for man-made disasters 🚨