COVID-19 Tweets Analysis for Human Emotion Detection

Author

Md Yasin Kabir
Sanjay Kumar Madria, Missouri University of Science and TechnologyFollow

Abstract

Social media is a place for people to share their feelings, concerns, questions, and opinions. This is as true during the Covid-19 pandemic as it has been at any other time since Twitter, Facebook and other similar services came into existence. But the things people talk about during the pandemic are likely to be different to what they talk about in normal times. After all, at various points throughout 2020, people have been forced to stay at home in the interests of public health, schools have temporarily closed, family and friends have been kept apart, and many individuals have lost their jobs or sources of income.

Recommended Citation

M. Y. Kabir and S. K. Madria, "COVID-19 Tweets Analysis for Human Emotion Detection," Significance, Wiley, Mar 2021.

Department(s)

Computer Science

Research Center/Lab(s)

Intelligent Systems Center

Comments

Covid tweets and data are available at github.com/mykabir/COVID19. Further data description and analysis are available at arxiv.org/abs/2004.13932.

International Standard Serial Number (ISSN)

1740-9713

Document Type

Article - Journal

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2021 Royal Statistical Society, All rights reserved.

Publication Date

18 Mar 2021