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This research analyzes public sentiment towards the Mobile Legends online game on Twitter using the Naïve Bayes Classifier method. A dataset of 217 tweets was collected, with 199 tweets processed, resulting in an accuracy of 80% in sentiment classification. The study highlights the effectiveness of the Naïve Bayes method for sentiment analysis in social media contexts.

Author

John Lyouild Bernas

Language

EN