Analysis Of Public Sentiment Towards Crypto Exchange Using The Naïve Bayes Method

Abstract

Cryptocurrency is a rapidly growing form of digital currency that serves as both an alternative payment system and an investment instrument. To conduct transactions, users require crypto exchanges as intermediaries. However, the large number of available exchanges, both local and international, often makes it difficult for users to select platforms that are safe, legal, and reliable. This problem is further complicated by technical issues, such as unstable systems during market fluctuations, which may cause financial losses for users. Therefore, this study aims to conduct sentiment analysis on various crypto exchanges by utilizing public opinion on social media, particularly Twitter. The results of this analysis are expected to provide more objective insights for users in choosing the right exchange, thereby minimizing risks and supporting a better investment experience.