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A Sentiment Analysis on Opinions of COVID-19 Vaccination in Social Networking Site

  • Yamuna Rajarathanam,
  • Shubashini Velu

摘要

Sentiment Analysis is widely regarded as the prevailing text categorization tool, mostly employed to assess incoming messages and ascertain the prevailing sentiment as positive, negative, or neutral. The primary objective of this study is to do sentiment analysis on the expressions of Malaysians on the Covid-19 vaccine as shared on various social media plat- forms. Additionally, the study aims to analyze the outcomes derived from the sentiment analysis. The primary objective is to gather posts pertaining to vaccination shared by Malaysians on social media platforms through the utilization of an application programming interface (API). Furthermore, the datasets that have been gathered will be utilized for the purpose of doing sentiment analysis. The statistics that have been subjected to analysis will encompass data pertaining to the viewpoints of Malaysian individuals on the Covid-19 vaccine. These datasets will be presented and visualized through the utilization of dashboards. The attainment of herd immunity is contingent upon the acceptance and participation of the general people. However, surveys pertaining to the acceptability of the COVID-19 vaccination have indicated a comparatively diminished figure, notwithstanding the escalating magnitude of everyday new instances of individuals afflicted with Covid-19. There exists a significant scarcity of individuals who display willingness to undergo vaccine registration. Consequently, the objective of this study is to instill confidence and conviction in the efficacy of the vaccine by examining the viewpoints of Malaysian individuals who have had Covid-19 vaccination. It is anticipated that this initiative will additionally serve as a catalyst for individuals to promptly enroll for the Covid-19 vaccination.