Sentiment Analysis of the COVID-19 Booster Vaccine with the Naïve Bayes Algorithm

In early 2020, a new deadly virus was discovered that can spread quickly, called SARS-CoV-2 or Coronavirus Disease 2019 (COVID-19). Indonesia is country with relatively high number of survivors COVID-19. The success the Indonesian government in providing massive COVID-19 vaccinations minimize risk death. World Health Organization (WHO) stated it would revoke Public Emergency International Concern (PHEIC) status for May 2023. However, many positive cases Covid-19 were still found Indonesia. Most them are who have not carried out complete until they get booster vaccine. This study analyzes public sentiment about vaccines using Naïve Bayes classification algorithm. results showed modeling accuracy had an excellent value 97.51%. contrast, based on analysis results, words frequently appeared twelve highest word cloud visualization tokens values.