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All Journal Sisforma: Journal of Information Systems
Muhamad Sandy Saputra
Soegijapranata Catholic University
Computer Science & IT Education Engineering Library & Information Science

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Computational Sentiment Analysis of User Interactions on Live Streaming Platforms Using Artificial Expert Judgment Muhamad Sandy Saputra; Ridwan Sanjaya
SISFORMA Vol 13, No 1: May 2026
Publisher : Soegijapranata Catholic University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24167/sisforma.v13i1.15480

Abstract

This study examines user interaction patterns on JKT48 Showroom live streaming using sentiment analysis on 14,857 interactions processed with a Large Language Model. The results show that most interactions are neutral (93.63%) with positive and negative sentiments appearing in smaller proportions. This suggests that user participation is mainly routine and reflects a form of “silent loyalty”. The findings highlight the importance of maintaining a stable user experience to support long term engagement.
Co-Authors Ridwan Sanjaya