Naïve Bayes and TF-IDF for Sentiment Analysis of the Covid-19 Booster Vaccine

The booster vaccine polemic became a trending topic on Twitter and reaped many pros cons. This began to be distributed January 12, 2022. program was implemented free of charge for the people Indonesia prevent new variant Covid-19, Omicron. contribution this study is analyze sentiment vaccines covid-19 using Naïve Bayes TF-IDF methods. We conducted analysis determine whether tweet positive, negative, or neutral. solution used method TF-IDF. role how relevant data in document by utilizing word weighting. stages research CRISP-DM include Business Understanding, Data Preparation, Modelling, Evaluation, Deployment. net results show 1,557 with positive 1,335, neutral 171 data, negative 51 data. test 60:40 sharing obtained accuracy, precision, recall values 85.26%, 85%, 100%. have increased 7.26%, 12%, 20% from other previous studies same distribution.