COVID-19 Vaccine Discussion: Evidence from Twitter Data Using Text Mining

Schneider J; Sejfijaj G; vom Brocke J

Keywords

COVID-19 Vaccine; Text mining; Topic modeling; Sentiment analysis

Cite as

Schneider, J., Sejfijaj, G., & vom Brocke, J. (2021). COVID-19 Vaccine Discussion: Evidence from Twitter Data Using Text Mining. In Gao, X. (Ed.), IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (pp. 90–96). ACM Digital Library. New York,NY,United States: Association for Computing Machinery.

Details

Publication type
Research article in proceedings (conference)

Peer reviewed
Yes

Publication status
Published

Year
2021

Conference
IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology

Venue
Melbourne

Book title
IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology

Editor
Gao X

Start page
90

End page
96

Title of series
ACM Digital Library

Publisher
Association for Computing Machinery

Place
New York,NY,United States

ISBN
9781450391870

DOI