Worldwide COVID-19 Vaccines Sentiment Analysis Through Twitter Content
Md Tarique Jamal Ansari 1 * , Naseem Ahmad Khan 2
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1 Department of Information Technology, Babasaheb Bhimrao Ambedkar University, Lucknow, INDIA2 University Institute of Engineering & Technology, Babasaheb Bhimrao Ambedkar University, Lucknow, INDIA* Corresponding Author

Abstract

One year during the pandemic of COVID 19, numerous viable possibilities have been created in worldwide efforts to create and disseminate a viable vaccine. The rapid development of numerous vaccinations is remarkable; generally, the procedure takes 8 to 15 years. The vaccination of a critical proportion of the global population, which is vital for containing the pandemic, is now facing a new set of hurdles, including hazardous new strains of the virus, worldwide competition over a shortage of doses, as well as public suspicion about the vaccinations. A safe and efficacious vaccine COVID-19 is borne fruit globally. There are presently more than a dozen vaccinations worldwide authorized; many more continue to be developed. This paper used COVID-19 vaccine related tweets to present an overview of the public’s reactions on current vaccination drives by using thematic sentiment and emotional analysis, and demographics interpretation to people. Further, experiments were carried out for sentiment analysis in order to uncover fresh information about the effect of location and gender. Overall Tweets were generally negative in tone and a huge vaccination trend can be seen in global health perspectives, as evidenced by the analysis of the role of comprehensive science and research in vaccination.

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Article Type: Original Article

ELECTRON J GEN MED, 2021, Volume 18, Issue 6, Article No: em329

https://doi.org/10.29333/ejgm/11316

Publication date: 04 Nov 2021

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Article Downloads: 3271

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