The application of the Naive Bayes Multinominal Text algorithm in tweet sentiment analysis in the case studies of the Sinovac, Pfizer, Aastrazeneca and Moderna vaccines can be concluded that this system is successful in knowing whether a tweet is classified as k positive or negative sentiment with an average accuracy of 96%