General Medicine: Open Access

ISSN - 2327-5146

Public opinion about COVID-19 and vaccination on Twitter platform

International Conference on Euro Obesity, Endocrinology and Diabetes & 40th Euro Global Summit and Expo on Vaccines & Vaccination & 6th International Anesthesia and Pain Medicine Conference & Clinical Pediatrics

June 13, 2022 | JOINT WEBINAR

Maryam Mahdikhani

College of Charleston, USA

Scientific Tracks Abstracts: Gen Med

Abstract :

The study is motivated by the tweets on COVID-19 in Twitter platform from March 2019. More than 1 million tweets related to COVID-19 pandemic that were written in English were analyzed across the development of pandemic and the vaccination phase. In this study, we aimed to evaluate public opinion on vaccination and their general emotions toward the new normal by analyzing the tweet’s content. We applied non-supervised machine learning algorithm to identify the most important topics related to vaccination on COVID-19. The features related to the documents then extracted and used to evaluate and classified the main features to predict the public opinion on vaccinations.

Biography :

Maryam Mahdikhani has her expertise in Machine Learning, Text mining, and supply chain management. She got her PhD from Rutgers University, the state University of New Jersey in USA in the field of supply Chain Management.