SciRepID - Sentiment Analysis of YouTube Comments on Indonesia’s Performance in 2026 World Cup Qualifiers Using Naive Bayes


Sentiment Analysis of YouTube Comments on Indonesia’s Performance in 2026 World Cup Qualifiers Using Naive Bayes

Prosiding Seminar Nasional Ilmu Teknik
Asosiasi Riset Ilmu Teknik Indonesia (ARITEKIN)

📄 Abstract

Sentiment analysis on social media is widely used to represent public perceptions of sports performance, particularly in international competitions. This study aims to analyze the sentiment of YouTube user comments regarding the performance of the Indonesian National Football Team during the FIFA World Cup 2026 Asian Qualifiers. The data were collected from user comments on videos related to the matches and analyzed using a machine learning–based sentiment analysis approach. Sentiment classification was performed using the Naive Bayes algorithm. The results indicate that the proposed approach is able to effectively identify public sentiment toward the national team’s performance during the qualification matches. The findings of this study are expected to provide insights into public perceptions and contribute to sentiment analysis research in the field of sports.

🔖 Keywords

#Naive Bayes; public opinion; sentiment analysis; sports performance; YouTube comments

ℹ️ Informasi Publikasi

Tanggal Publikasi
16 February 2026
Volume / Nomor / Tahun
Volume 2, Nomor 2, Tahun 2026

📝 HOW TO CITE

Dihin Muriyatmoko; Aziz Musthafa; Yusuf Al Banna, "Sentiment Analysis of YouTube Comments on Indonesia’s Performance in 2026 World Cup Qualifiers Using Naive Bayes," Prosiding Seminar Nasional Ilmu Teknik, vol. 2, no. 2, Feb. 2026.

ACM
ACS
APA
ABNT
Chicago
Harvard
IEEE
MLA
Turabian
Vancouver

🔗 Artikel Terkait dari Jurnal yang Sama

📊 Statistik Sitasi Jurnal

Tren Sitasi per Tahun