Abstract:
Artificial Intelligence (AI) has revolutionized
predictive, forecasting, and classification capabilities, finding
applications across diverse domains. This paper investigates AI's
role in analyzing sentiment polarity within the public's
perceptions of post-COVID-19 vaccination providers in the United
Arab Emirates (UAE). AI's prevalence in medical research,
particularly for low-computation tasks, underscores its
significance. Amidst abundant medical resources, concerns about
the safety and efficacy of various COVID-19 vaccines persist.
Social media platforms serve as dynamic spaces where individuals
share vaccination experiences, shaping public perceptions.
Recognizing AI's pivotal role in influencing business perception,
this study exploits AI to extract insights into current vaccine
perceptions. This methodology employs data mining to analyze
textual data, classifying and clustering social media posts into
distinct groups. Emotional labeling discerns sentiments associated
with each vaccine. The dataset includes tweets on Pfizer BioNTech, Sinopharm, Sputnik V, and Oxford-AstraZeneca—
chosen for their availability in the UAE, where around 70% of the
population received vaccinations by June 2021. This analysis aims
to understand public sentiment, identifying preferences and
concerns. Findings offer valuable insights into how these vaccines
are perceived in the UAE, contributing to the broader discourse
on AI, public perception, and healthcare. The study informs
decision-makers and health authorities in refining communication
strategies and addressing public concerns.
