Analyzing the attitude of Indian citizens towards COVID-19 vaccine – A text analytics study. Issue 2 (March 2021)
- Record Type:
- Journal Article
- Title:
- Analyzing the attitude of Indian citizens towards COVID-19 vaccine – A text analytics study. Issue 2 (March 2021)
- Main Title:
- Analyzing the attitude of Indian citizens towards COVID-19 vaccine – A text analytics study
- Authors:
- Praveen, SV
Ittamalla, Rajesh
Deepak, Gerard - Abstract:
- Abstract: Background and aims: The government of India recently planned to start the process of the mass vaccination program to end the COVID-19 crises. However, the process of vaccination was not made mandatory, and there are a lot of aspects that arise skepticism in the minds of common people regarding COVID-19 vaccines. This study using machine learning techniques analyzes the major concerns Indian citizens voice out about COVID-19 vaccines in social media. Methods: For this study, we have used social media posts as data. Using Python, we have scrapped the social media posts of Indian citizens discussing about the COVID- 19 vaccine. In Study 1, we performed a sentimental analysis to determine how the general perception of Indian citizens regarding the COVID-19 vaccine changes over different months of COVID-19 crises. In Study 2, we have performed topic modeling to understand the major issues that concern the general public regarding the COVID- 19 vaccine. Results: Our results have indicated that 47% of social media posts discussing vaccines were in a neutral tone, and nearly 17% of the social media posts discussing the COVID-19 vaccine were in a negative tone. Fear of health and allergic reactions towards the vaccine are the two prominent issues that concern Indian citizens regarding the COVID-19 vaccine. Conclusion: With the positive sentiments regarding vaccine is just over 35%, the Indian government needs to focus especially on addressing the fear of vaccines beforeAbstract: Background and aims: The government of India recently planned to start the process of the mass vaccination program to end the COVID-19 crises. However, the process of vaccination was not made mandatory, and there are a lot of aspects that arise skepticism in the minds of common people regarding COVID-19 vaccines. This study using machine learning techniques analyzes the major concerns Indian citizens voice out about COVID-19 vaccines in social media. Methods: For this study, we have used social media posts as data. Using Python, we have scrapped the social media posts of Indian citizens discussing about the COVID- 19 vaccine. In Study 1, we performed a sentimental analysis to determine how the general perception of Indian citizens regarding the COVID-19 vaccine changes over different months of COVID-19 crises. In Study 2, we have performed topic modeling to understand the major issues that concern the general public regarding the COVID- 19 vaccine. Results: Our results have indicated that 47% of social media posts discussing vaccines were in a neutral tone, and nearly 17% of the social media posts discussing the COVID-19 vaccine were in a negative tone. Fear of health and allergic reactions towards the vaccine are the two prominent issues that concern Indian citizens regarding the COVID-19 vaccine. Conclusion: With the positive sentiments regarding vaccine is just over 35%, the Indian government needs to focus especially on addressing the fear of vaccines before implementing the process of mass vaccination. Highlights: Our results show that only 35% of social media posts (n = 73, 760) about COVID-19 vaccines were in a positive tone. As the number of COVID-19 cases increases, there is a rise in positive sentiments towards COVID-19 vaccines. Health and allergic reactions to the COVID-19 vaccine are the major concerns of Indian citizens about COVID-19 vaccines. … (more)
- Is Part Of:
- Diabetes & metabolic syndrome. Volume 15:Issue 2(2021)
- Journal:
- Diabetes & metabolic syndrome
- Issue:
- Volume 15:Issue 2(2021)
- Issue Display:
- Volume 15, Issue 2 (2021)
- Year:
- 2021
- Volume:
- 15
- Issue:
- 2
- Issue Sort Value:
- 2021-0015-0002-0000
- Page Start:
- 595
- Page End:
- 599
- Publication Date:
- 2021-03
- Subjects:
- COVID-19 -- Vaccine -- Social media -- Data analytics -- Text analytics
Diabetes -- Periodicals
Metabolism -- Disorders -- Periodicals
Diabetes Mellitus -- Periodicals
Metabolic Diseases -- Periodicals
Diabète -- Périodiques
Métabolisme, Troubles du -- Périodiques
Endocrinologie -- Périodiques
Diabète -- Physiopathologie -- Périodiques
Diabetes
Metabolism -- Disorders
Electronic journals
Periodicals
616.462 - Journal URLs:
- http://www.clinicalkey.com.au/dura/browse/journalIssue/18714021 ↗
http://www.clinicalkey.com/dura/browse/journalIssue/18714021 ↗
http://www.sciencedirect.com/science/journal/18714021 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.dsx.2021.02.031 ↗
- Languages:
- English
- ISSNs:
- 1871-4021
- Deposit Type:
- Legaldeposit
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- Available online (eLD content is only available in our Reading Rooms) ↗
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- British Library DSC - 3579.600509
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