Public sentiments toward COVID-19 vaccines in South African cities: An analysis of Twitter posts.

ABSTRACT: Amidst the COVID-19 vaccination, Twitter is one of the most popular platforms for discussions about the COVID-19 vaccination. These types of discussions most times lead to a compromise of public confidence toward the vaccine. The text-based data generated by these discussions are used by researchers to extract topics and perform sentiment analysis at the provincial, country, or continent level without considering the local communities. The aim of this study is to use clustered geo-tagged Twitter posts to inform city-level variations in sentiments toward COVID-19 vaccine-related topics in the three largest South African cities (Cape Town, Durban, and Johannesburg). VADER, an NLP pre-trained model was used to label the Twitter posts according to their sentiments with their associated intensi

SUBMITTER: Ogbuokiri B 

PROVIDER: S-EPMC9412204 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature