We investigate the topics and sentiment concerning COVID-19 from half-a-million tweets across different countries between January 22 and April 30,2020.finding similarities and differences between the general concerns and feelings between countries,and varying attitudes towards different issues.Strong sentiments are found in the tweets,yet love and support also gain much popularity.In general,a trend of increasingly positive sentiment was observed.
主题模型社交媒体分析新冠肺炎
梁帅龙、黄辉、张岳
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新加坡科技设计大学 新加坡
澳门大学计算机与资讯科学系 澳门
西湖大学工学院 杭州
主题模型 社交媒体分析 新冠肺炎
Chinese National Conference on Computational Linguistic
Haikou(CN)
19th Chinese National Conference on Computational Linguistic
NETL
