Loading...
Analysis of tweets with #Covid19Vaccine surrounding the period of COVID-19 vaccine availability
Abdinnour, Sue Adeniji, Sesan Oluseyi
Abdinnour, Sue
Adeniji, Sesan Oluseyi
Files
Authors
Other Names
Location
Time Period
Advisors
Original Date
Digitization Date
Issue Date
2025-06
Type
Article
Genre
Keywords
COVID-19,Vaccine,Twitter,K-means,Sentiment analysis
Subjects (LCSH)
Citation
Abdinnour, S., Adeniji, S. O. (2025). Analysis of tweets with #Covid19Vaccine surrounding the period of COVID-19 vaccine availability. Journal of Management & Engineering Integration, 18(1), 1-13. https://doi.org/10.62704/10057/30200
Abstract
This study analyzes public sentiment towards COVID-19 vaccines by focusing on Tweets containing the '#Covid19Vaccine' hashtag from October 2020 to April 2021. Out of the 108,025 Tweets collected, 103,210 were analyzed post-preprocessing. The study employs descriptive analysis, a Lexicon-based approach for Sentiment Analysis, and Latent Dirichlet Allocation (LDA) and K-Means clustering for Topic Modeling. The findings highlight significant public interest and media coverage of Pfizer and Moderna vaccines. The frequency of Tweets increasing after the release of the COVID-19 vaccine, compared to before, could be due to heightened public discourse and engagement on the vaccine's efficacy, distribution, and reception, as people shared information, experiences, and opinions on this significant development. The Sentiment Analysis showed a notable negative sentiment during the second week of October 2020. This stands out in contrast to other weeks, suggesting a specific event may have influenced the public mood. Topic Modeling results offer a comprehensive view of the public discourse, showcasing the challenges and successes encountered in the vaccination process. Consequently, this study recommends clear, evidence based communication and proactive engagement by health authorities and pharmaceutical companies to effectively manage public sentiment and foster trust during health crises like COVID-19.
Table of Contents
Description
Published in SOAR: Shocker Open Access Repository by the Wichita State University Libraries Technical Services, August 2025.
Copyright of the Journal of Management and Engineering Integration is the property of the Association of Industry, Engineering and Management Systems Inc., and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use.
Copyright of the Journal of Management and Engineering Integration is the property of the Association of Industry, Engineering and Management Systems Inc., and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use.
Publisher
Association for Industry, Engineering and Management Systems (AIEMS)
Journal
Book Title
Series
Journal of Management & Engineering Integration
v.18 no.1
v.18 no.1
Digital Collection
Finding Aid URL
Use and Reproduction
Archival Collection
PubMed ID
ISSN
1939-7984