Detecting hazardous events from online news and social media

• Main Author: Liu, Zinan
• Other Authors: Mao Kezhi
• Format: Final Year Project
• Language: English
• Published: Nanyang Technological University 2023
• Subjects: Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence; Engineering::Computer science and engineering::Computing methodologies::Document and text processing
• Online Access: https://hdl.handle.net/10356/167664
• Institution: Nanyang Technological University

The detection of hazardous events is critical for effective emergency response and risk management. With the widespread use of online news and social media platforms, there is an opportunity to leverage this data source for early warning and situational awareness of hazardous events. This report inv...