COVID-19 vaccine rejection causes based on Twitter people's opinions analysis using deep learning.

ABSTRACT: According to the World Health Organization, vaccine hesitancy was one of the ten major threats to global health in 2019, including the COVID-19 vaccine. The availability of vaccines does not always mean utilization. This is because, people have less confidence in vaccines, which resulted in vaccination hesitancy and developing global decline in vaccine intake and has caused viral disease outbreaks worldwide. Therefore, there is a need to understand people's perceptions about the COVID-19 vaccine to help the manufacturing companies of the vaccine to improve their marketing strategy based on the rejection causes. In this paper, we used multi-class Sentiment Analysis to classify people's opinions from extracted tweets about COVID-19 vaccines, using firstly different Machine Learning (ML) clas

SUBMITTER: Alotaibi W 

PROVIDER: S-EPMC10069356 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature