360 citations · 389 across the 2 of their papers we have counts for
2 papers
cs.SI2020★ 29 cited
Twitter discussions and emotions about COVID-19 pandemic: a machine learning approach
Jia Xue, Junxiang Chen, Ran Hu +4
The objective of the study is to examine coronavirus disease (COVID-19) related discussions, concerns, and sentiments that emerged from tweets posted by Twitter users. We analyze 4…
cs.SI2020★ 360 cited
Public discourse and sentiment during the COVID-19 pandemic: using Latent Dirichlet Allocation for topic modeling on Twitter
Jia Xue, Junxiang Chen, Chen Chen +3
The study aims to understand Twitter users' discourse and psychological reactions to COVID-19. We use machine learning techniques to analyze about 1.9 million Tweets (written in En…