Analysis of tweets with #Covid19Vaccine surrounding the period of COVID-19 vaccine availability

This study analyzes public sentiment towards COVID-19 vaccines by focusing on Tweets containing the '#Covid19Vaccine' hashtag from October 2020 to April 2021. Out of the 108,025 Tweets collected, 103,210 were analyzed post-preprocessing. The study employs descriptive analysis, a Lexicon-based approach for Sentiment Analysis, and Latent Dirichlet Allocation (LDA) and K-Means clustering for Topic Modeling. The findings highlight significant public interest and media coverage of Pfizer and Moderna vaccines. The frequency of Tweets increasing after the release of the COVID-19 vaccine, compared to before, could be due to heightened public discourse and engagement on the vaccine's efficacy, distribution, and reception, as people shared information, experiences, and opinions on this significant development. The Sentiment Analysis showed a notable negative sentiment during the second week of October 2020. This stands out in contrast to other weeks, suggesting a specific event may have influenced the public mood. Topic Modeling results offer a comprehensive view of the public discourse, showcasing the challenges and successes encountered in the vaccination process. Consequently, this study recommends clear, evidence based communication and proactive engagement by health authorities and pharmaceutical companies to effectively manage public sentiment and foster trust during health crises like COVID-19.