Tiktok Social Media Sentiment Analysis Using the Nave Bayes Classifier Algorithm

Social media is a computer application designed to make it simpler communicate with others without having do face-to-face, as well tool for fun and reducing feelings of isolation. Existing social applications include games, music, communicating distant individuals, among others. These are utilized by parents, adolescents, even young children. The Tik-Tok frequently used children networking platform. has succeeded in grabbing the interest youngsters, such that curious about creating short movies on Due fact this children, researcher seeks use Naïve Bayes Classifier Algorithm recognize differentiate unfavorable remarks TikTok's media. rising number negative TikTok comments column can hinder mental development hoped algorithm would encourage users post positive application. Based data gathering until results classification obtained. There 600 randomly collected from users, gathered through export website. After evaluating, accuracy conducting sentiment analysis 80% while result AUC 46%