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COVID-19 Vaccination Perceptions, Issues, and Challenges: An Analysis of Tweets Using Machine Learning Models
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Author(s): Sreekantha Desai Karanam (NITTE (Deemed), India & Nitte Mahalinga Adyanthaya Memorial Institute of Technology, India), Krithin M. (NITTE (Deemed), India & Nitte Mahalinga Adyanthaya Memorial Institute of Technology, India)and R. V. Kulkarni (CSIBER, Kolhapur, India)
Copyright: 2023
Pages: 34
Source title:
Convergence of Big Data Technologies and Computational Intelligent Techniques
Source Author(s)/Editor(s): Govind P. Gupta (National Institute of Technology, Raipur, India)
DOI: 10.4018/978-1-6684-5264-6.ch006
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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.
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