The Perspectives of Individuals with Comorbidities Towards COVID-19 Booster Vaccine Shots in Twitter: A Social Media Analysis Using Natural Language Processing, Sentiment Analysis and Topic Modeling

The Perspectives of Individuals with Comorbidities Towards COVID-19 Booster Vaccine Shots in Twitter: A Social Media Analysis Using Natural Language Processing, Sentiment Analysis and Topic Modeling

Individuals with comorbidities (i.e., Diabetes Mellitus, hypertension, heart diseases) are more likely to develop a more severe form of coronavirus disease 2019 (COVID-19), thus, they should take necessary precautions to avoid infection with severe acute respiratory syndrome coronavirus–2 (SARS-CoV-...

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Bibliographic Details
Main Authors: S.V. Praveen, R. Sundar, Vajratiya Vajrobol, Rajesh Ittamalla, K. Srividya, Ramadan Abdelmoez Farahat, Hitesh Chopra, Mohammad Ebad Ur Rehman, Chiranjib Chakraborty, Kuldeep Dhama
Format: Article
Language:English
Published: Journal of Pure and Applied Microbiology 2023-03-01
Series:Journal of Pure and Applied Microbiology
Subjects:
booster dose
covid-19
vaccine
natural language processing
text analytics
Online Access:https://microbiologyjournal.org/the-perspectives-of-individuals-with-comorbidities-towards-covid-19-booster-vaccine-shots-in-twitter-a-social-media-analysis-using-natural-language-processing-sentiment-analysis-and-topic-modeling/

Internet

https://microbiologyjournal.org/the-perspectives-of-individuals-with-comorbidities-towards-covid-19-booster-vaccine-shots-in-twitter-a-social-media-analysis-using-natural-language-processing-sentiment-analysis-and-topic-modeling/

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