Understanding public's perception towards COVID-19 based on social media sentiment analysis

• Main Author: Chen, Yiming
• Other Authors: Mao Kezhi
• Format: Thesis-Master by Coursework
• Language: English
• Published: Nanyang Technological University 2022
• Subjects: Engineering::Electrical and electronic engineering
• Online Access: https://hdl.handle.net/10356/162486
• Institution: Nanyang Technological University

The outbreak and spread of the COVID-19 epidemic have flooded social media with relevant and emotionally rich content. This thesis presents sentiment classification and trend analysis of COVID-19-related tweets to understand public perception of the new coronavirus on Twitter. We compare the capabil...