Comparative Analysis of Community Sentiment Against the Implementation of Booster Vaccination in Indonesia Using the K-Nearest Neighbor and Naïve Bayes Classifier Methods

Sentiment analysis is a person's opinion or view of particular object that produces positive, negative, neutral sentiments. The government's effort during the COVID-19 pandemic to call for implementation booster vaccination program public. Based on this, it several public sentiments, some which are uploaded Twitter social media platform, generate positive and negative To find out classification sentiment, researchers carried calculations using K-Nearest Neighbor Naïve Bayes Classifier methods. calculation results, was found sentiment at 98% 2%. This means community enthusiastic supports program. Then comparison based namely method with K value 3 resulting in an accuracy 97.33% method, 97.35% can be generated. So seen has higher than method.