Detecting hazardous events from social media based on deep learning

• Main Author: Lim, Xu Kang
• Other Authors: Mao Kezhi
• Format: Final Year Project
• Language: English
• Published: Nanyang Technological University 2021
• Subjects: Engineering::Electrical and electronic engineering
• Online Access: https://hdl.handle.net/10356/149531
• Institution: Nanyang Technological University

For this project, the main objective is to build a network that is capable of detecting posts made during a hazardous event and hence be able to detect hazardous events. Today, where social media has grown to such size and prevalence, a lot of valuable information can be drawn from this platform...