Unveiling the dynamics of crisis events: Sentiment and emotion analysis via multi-task learning with attention mechanism and subject-based intent prediction

• Main Authors: WIN MYINT, Phyo Yi, LO, Siaw Ling, ZHANG, Yuhao
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2024
• Subjects: Crisis tweets; Emotion analysis; Intent prediction; Multi-task learning; Natural language processing; Sentiment analysis; Databases and Information Systems; Social Media
• Online Access: https://ink.library.smu.edu.sg/sis_research/8696; https://ink.library.smu.edu.sg/context/sis_research/article/9699/viewcontent/DynamicsCrisisEvents_pvoa_cc_by_nc.pdf
• Institution: Singapore Management University

In the age of rapid internet expansion, social media platforms like Twitter have become crucial for sharing information, expressing emotions, and revealing intentions during crisis situations. They offer crisis responders a means to assess public sentiment, attitudes, intentions, and emotional shift...