Welcome to the InfoSci Platform
COVID-19 Vaccination Perceptions, Issues, and Challenges: An Analysis of Tweets Using Machine Learning Models

COVID-19 Vaccination Perceptions, Issues, and Challenges: An Analysis of Tweets Using Machine Learning Models

Sreekantha Desai Karanam, Krithin M., R. V. Kulkarni
Copyright: © 2023 |Pages: 34
ISBN13: 9781668452646|ISBN10: 1668452642|ISBN13 Softcover: 9781668452653|EISBN13: 9781668452660
DOI: 10.4018/978-1-6684-5264-6.ch006
Cite Chapter Cite Chapter

MLA

Karanam, Sreekantha Desai, et al. "COVID-19 Vaccination Perceptions, Issues, and Challenges: An Analysis of Tweets Using Machine Learning Models." Convergence of Big Data Technologies and Computational Intelligent Techniques, edited by Govind P. Gupta, IGI Global, 2023, pp. 113-146. https://doi.org/10.4018/978-1-6684-5264-6.ch006

APA

Karanam, S. D., Krithin M., & Kulkarni, R. V. (2023). COVID-19 Vaccination Perceptions, Issues, and Challenges: An Analysis of Tweets Using Machine Learning Models. In G. Gupta (Ed.), Convergence of Big Data Technologies and Computational Intelligent Techniques (pp. 113-146). IGI Global. https://doi.org/10.4018/978-1-6684-5264-6.ch006

Chicago

Karanam, Sreekantha Desai, Krithin M., and R. V. Kulkarni. "COVID-19 Vaccination Perceptions, Issues, and Challenges: An Analysis of Tweets Using Machine Learning Models." In Convergence of Big Data Technologies and Computational Intelligent Techniques, edited by Govind P. Gupta, 113-146. Hershey, PA: IGI Global, 2023. https://doi.org/10.4018/978-1-6684-5264-6.ch006

Export Reference

Mendeley
Favorite

Abstract

The vaccines are developed to protect us from diseases, and these vaccines are saving millions of people every year. The acceptance of taking COVID-19 vaccinations was affected by their knowledge and opinion on COVID-19 vaccines. The ever-increasing misinformation and opposition to take COVID-19 vaccines have created a major problem for healthcare professionals in meeting the targets set for vaccine coverage. There is an urgent need to apply supportive and inclusive approaches to enhance people's self-confidence and acceptance of these vaccines by taking away their misconceptions. To control the spread of COVID-19 disease, practicing all the social operational standards and high vaccination coverage are required. Most healthcare workers in Asia are vaccinated. This chapter reviewed the papers on COVID-19 vaccination perceptions, issues, and side effects. The authors also designed a machine learning model to analyze the perceptions of the people from analysing their tweets. This analysis provides an insight into perceptions and drives-focused vaccination programmes.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.