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Erschienen in: Social Network Analysis and Mining 1/2023

01.12.2023 | Original Article

COVID-19 vaccination perception and outcome: society sentiment analysis on twitter data in India

verfasst von: Anushtha Vishwakarma, Mitali Chugh

Erschienen in: Social Network Analysis and Mining | Ausgabe 1/2023

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Abstract

This study examines the perceptions and results of COVID-19 immunization using sentiment analysis of Twitter data from India. The tweets were collected from January 2021 to March 2023 using relevant hashtags and keywords. The dataset was pre-processed and cleaned before conducting sentiment analysis using Natural Language Processing techniques. Our results show that the overall sentiment toward COVID-19 vaccination in India has been positive, with a majority of tweets expressing support for vaccination and encouraging others to get vaccinated. However, we also identified some negative sentiments related to vaccine hesitancy, side effects, and mistrust in the government and pharmaceutical companies. We further analyzed the sentiment based on demographic factors such as gender, age, and location. The analysis revealed that the sentiment varied across different demographics, with some groups expressing more positive or negative sentiments than others. This study provides insights into the perception and outcomes of COVID-19 vaccination in India and highlights the need for targeted communication strategies to address vaccine hesitancy and increase vaccine uptake in specific demographics.

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Literatur
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Metadaten
Titel
COVID-19 vaccination perception and outcome: society sentiment analysis on twitter data in India
verfasst von
Anushtha Vishwakarma
Mitali Chugh
Publikationsdatum
01.12.2023
Verlag
Springer Vienna
Erschienen in
Social Network Analysis and Mining / Ausgabe 1/2023
Print ISSN: 1869-5450
Elektronische ISSN: 1869-5469
DOI
https://doi.org/10.1007/s13278-023-01088-7

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