SV, P.; Lorenz, J.M.; Ittamalla, R.; Dhama, K.; Chakraborty, C.; Kumar, D.V.S.; Mohan, T.
Twitter-Based Sentiment Analysis and Topic Modeling of Social Media Posts Using Natural Language Processing, to Understand People’s Perspectives Regarding COVID-19 Booster Vaccine Shots in India: Crucial to Expanding Vaccination Coverage. Vaccines 2022, 10, 1929.
https://doi.org/10.3390/vaccines10111929
AMA Style
SV P, Lorenz JM, Ittamalla R, Dhama K, Chakraborty C, Kumar DVS, Mohan T.
Twitter-Based Sentiment Analysis and Topic Modeling of Social Media Posts Using Natural Language Processing, to Understand People’s Perspectives Regarding COVID-19 Booster Vaccine Shots in India: Crucial to Expanding Vaccination Coverage. Vaccines. 2022; 10(11):1929.
https://doi.org/10.3390/vaccines10111929
Chicago/Turabian Style
SV, Praveen, Jose Manuel Lorenz, Rajesh Ittamalla, Kuldeep Dhama, Chiranjib Chakraborty, Daruri Venkata Srinivas Kumar, and Thivyaa Mohan.
2022. "Twitter-Based Sentiment Analysis and Topic Modeling of Social Media Posts Using Natural Language Processing, to Understand People’s Perspectives Regarding COVID-19 Booster Vaccine Shots in India: Crucial to Expanding Vaccination Coverage" Vaccines 10, no. 11: 1929.
https://doi.org/10.3390/vaccines10111929
APA Style
SV, P., Lorenz, J. M., Ittamalla, R., Dhama, K., Chakraborty, C., Kumar, D. V. S., & Mohan, T.
(2022). Twitter-Based Sentiment Analysis and Topic Modeling of Social Media Posts Using Natural Language Processing, to Understand People’s Perspectives Regarding COVID-19 Booster Vaccine Shots in India: Crucial to Expanding Vaccination Coverage. Vaccines, 10(11), 1929.
https://doi.org/10.3390/vaccines10111929
