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COVID-19 vaccination perception and outcome: society sentiment analysis on twitter data in India
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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Vienna
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10170045/ https://www.ncbi.nlm.nih.gov/pubmed/37193096 http://dx.doi.org/10.1007/s13278-023-01088-7 |
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author | Vishwakarma, Anushtha Chugh, Mitali |
author_facet | Vishwakarma, Anushtha Chugh, Mitali |
author_sort | Vishwakarma, Anushtha |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-10170045 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer Vienna |
record_format | MEDLINE/PubMed |
spelling | pubmed-101700452023-05-11 COVID-19 vaccination perception and outcome: society sentiment analysis on twitter data in India Vishwakarma, Anushtha Chugh, Mitali Soc Netw Anal Min Original Article 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. Springer Vienna 2023-05-10 2023 /pmc/articles/PMC10170045/ /pubmed/37193096 http://dx.doi.org/10.1007/s13278-023-01088-7 Text en © The Author(s), under exclusive licence to Springer-Verlag GmbH Austria, part of Springer Nature 2023, Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Original Article Vishwakarma, Anushtha Chugh, Mitali COVID-19 vaccination perception and outcome: society sentiment analysis on twitter data in India |
title | COVID-19 vaccination perception and outcome: society sentiment analysis on twitter data in India |
title_full | COVID-19 vaccination perception and outcome: society sentiment analysis on twitter data in India |
title_fullStr | COVID-19 vaccination perception and outcome: society sentiment analysis on twitter data in India |
title_full_unstemmed | COVID-19 vaccination perception and outcome: society sentiment analysis on twitter data in India |
title_short | COVID-19 vaccination perception and outcome: society sentiment analysis on twitter data in India |
title_sort | covid-19 vaccination perception and outcome: society sentiment analysis on twitter data in india |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10170045/ https://www.ncbi.nlm.nih.gov/pubmed/37193096 http://dx.doi.org/10.1007/s13278-023-01088-7 |
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