Journal of Emerging Information Systems and Business Intelligence (JEISBI)
Vol. 6 No. 2 (2025): Vol. 06 Issue 02

A Comparative Analysis Opinion Mining Sea Games On Social Media

Lathifatuz zuhroh (Unknown)
Nuryana, I Kadek Dwi (Unknown)



Article Info

Publish Date
25 Jul 2025

Abstract

Twitter is a social media platform that is freely accessible to everyone. As a result, numerous social phenomena and issues quickly emerge and spread globally through users' tweets. The 2023 SEA Games in Cambodia was no exception, as it sparked public opinion, particularly among Indonesian citizens, due to several incidents during the event that were considered unethical or inappropriate. This study aims to analyze public sentiment regarding these events using the C5.0 and Naïve Bayes algorithms. The performance of both algorithms will be compared to determine which one yields better results. The dataset consists of 1,000 tweets collected between March 14 and April 14, 2023. The findings indicate that Naïve Bayes outperforms C5.0, achieving an accuracy of 70%, compared to 67% for C5.0 . Keyword: Twitter, Sentiment Analysis, Naïve Bayes, C5.0, Sea Games.

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Journal Info

Abbrev

JEISBI

Publisher

Subject

Computer Science & IT Decision Sciences, Operations Research & Management Languange, Linguistic, Communication & Media Library & Information Science

Description

Journal of Emerging Information Systems and Business Intelligence (JEISBI) aims to provide scholarly literature focused on studies and research in the fields of Information Systems (IS) and Business Intelligence (BI). This journal also includes public reviews on the development of theories, methods, ...