Analisa Sentimen Pengguna Transportasi Jakarta Terhadap Transjakarta Menggunakan Metode Naives Bayes dan K-Nearest Neighbor

Social media used in communicating that is very popular Indonesia. One of the most Twitter. Twitter a social site where people can share information publicly. This be processed to make sentiment analysis. research attempts create system detect positive or negative sentiments public information. The method for this classification comparison Naive Bayes Classifier and K-Nearest Neighbor using TF-IDF weighting. input form tweet data Transjakarta, while output visualization Streamlit which library from python. Based on testing accuracy approach analysis related use Transjakarta transportation 61.1%, 75.7%. For two methods determining level accuracy, it concluded K-nearest-neighbor produces better accuracy.