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10.1016/j.dsx.2021.02.031

http://scihub22266oqcxt.onion/10.1016/j.dsx.2021.02.031
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suck abstract from ncbi


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pmid33714134      Diabetes+Metab+Syndr 2021 ; 15 (2): 595-599
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  • Analyzing the attitude of Indian citizens towards COVID-19 vaccine - A text analytics study #MMPMID33714134
  • Praveen SV; Ittamalla R; Deepak G
  • Diabetes Metab Syndr 2021[Mar]; 15 (2): 595-599 PMID33714134show ga
  • 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.
  • |*Attitude to Health[MESH]
  • |*Fear[MESH]
  • |*Social Media[MESH]
  • |COVID-19 Vaccines/*therapeutic use[MESH]
  • |COVID-19/*prevention & control[MESH]
  • |Humans[MESH]
  • |India[MESH]
  • |Machine Learning[MESH]
  • |Natural Language Processing[MESH]


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