Ruliana, A.N. Inayah, Zulkifli Rais
Naïve Bayes is a machine learning method known as a classification algorithm based on Bayes theorem that refers to the concept of conditional opportunity. This study aims to find out the classification of digital payment user reviews on social media Twitter using the algorithm of classification naïve Bayes. Reviews of digital payment users uploaded on social media Twitter were obtained by utilizing the Twitter API. Based on the results of the analysis obtained by Go-pay user reviews uploaded on social media twitter the majority are negative reviews and based on the comparison of the accuracy value of naïve Bayes classification on two types of training and testing data sharing obtained the highest classification accuracy in the 2nd trial which is 97.37% with a comparison of data sharing which is 80% for training data and 20% for data testing. © 2023 American Institute of Physics Inc.. All rights reserved.
Department of Statistics, Faculty Mathematics and Natural Science, Universitas Negeri Makassar, Makassar, 90224, Indonesia
