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Sentiment Analysis of COVID-19 Vaccines
Lecture Notes in Networks and Systems ; 471:19-55, 2023.
Article in English | Scopus | ID: covidwho-2245252
ABSTRACT
Social media is invariably being used these days for exchanging information and views on global affairs including COVID-19 pandemic. In this study, we have worked to understand the public attitudes of people in different countries towards COVID-19 vaccines using social media platform Twitter. We have applied natural language processing techniques of sentiment analysis to get an insightful outlook on people's views. Hence, we categorized our results into fine-grained polarities to grasp the exact sentiment. For analyzing the sentiments, we have taken tweets that expressed sentiments for all countries, as well as for four countries that had higher fatality rates are United States of America, Mexico, Brazil and India. The people have expressed a neutral opinion towards the vaccines. Based on the sentiment, the vaccines were also ranked in which the people have expressed more faith in Sputnik V and Covishield vaccines. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
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Full text: Available Collection: Databases of international organizations Database: Scopus Topics: Vaccines Language: English Journal: Lecture Notes in Networks and Systems Year: 2023 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Scopus Topics: Vaccines Language: English Journal: Lecture Notes in Networks and Systems Year: 2023 Document Type: Article