Design of a Video Game Review System Using Naïve Bayes Algorithm

Diny Anggraini Adnas (Universitas Internasional Batam)
Eric Sanjaya (Universitas Internasional Batam)

Conference on Management, Business, Innovation, Education and Social Sciences (CoMBInES)
Vol. 4 No. 1 (2024): The 4th Conference on Management, Business, Innovation, Education and Social Sc

The rapid development of the technology marks the emergence of social medias. Collaboration, two-way communication, and friendships with other social media users are facilitated through functions such as comments (comment/retweet) and likes or dislikes. This research aims to examine how video game reviews are perceived within a system based on data obtained from Kaggle. Data mining processes will be conducted using machine learning methods, specifically the Naïve Bayes Classifier algorithm. This classification method is based on probability and Bayes' theorem, assuming attribute independence. The research results indicate that the use of Naïve Bayes shows a significance level of 0.46%.