Analisis Sentimen AFC U23 Asian Cup 2024 menggunakan Algoritma Naïve Bayes

muhammad arif kurniawan; Angger Styo Yuniarti; samsul makin

doi:10.58217/ipsikom.v12i1.275

muhammad arif kurniawan Universitas Insan Pembangunan
Angger Styo Yuniarti
samsul makin

DOI: https://doi.org/10.58217/ipsikom.v12i1.275

Abstract

The AFC U-23 Asian Cup is a very important football tournament watched by millions of fans across Asia and the world. Sentiment analysis of these events can provide insight into how the public feels and opinions towards the matches, teams and players, which can be very beneficial for organizers, sponsors and the media. This research uses the Naïve Bayes algorithm to group words from the Twitter application with the aim ofprovide a significant contribution to the understanding of public perception and fan involvement in major sporting events such as the AFC U-23 Asian Cup 2024. The results of this research withusing the Naïve Bayes algorithm to analyze public opinion regarding the 2024 AFC U-23 Asian Cup gave an accuracy value of 78%. These results show that the Naïve Bayes model has quite good performance in carrying out sentiment analysis.

Keywords: AFC U-23 Asian Cup 2024, Sentimen, Naïve Bayes, Twitter

References

Irfan, M., Yenes, R., Irawan, R., & Oktavianus, I. (2020). Kemampuan teknik dasar sepakbola. Jurnal Patriot, 2(3), 720-731.

Ratnawati, F. (2018). Implementasi Algoritma Naive Bayes Terhadap Analisis Sentimen Opini Film Pada Twitter. Jurnal Inovtek Polbeng Seri Informatika, 3(1), 50-59.

Razaq, M. T., Nurjanah, D., & Nurrahmi, H. (2023). Analisis Sentimen Review Film menggunakan Naive Bayes Classifier dengan fitur Tf-Idf. eProceedings of Engineering, 10(2).

Sianipar, D. F. A., & Wahyudi, H. (2016). Analisis Permainan Timnas U-19 Dalam Kejuaraan Piala Asia U-19 Tahun 2014 Di Myanmar. Jurnal Kesehatan Olahraga, 4(1).

Winarko, E. (2017). Sentimen analisis tweet berbahasa Indonesia dengan deep belief network. IJCCS (Indonesian Journal of Computing and Cybernetics Systems), 11(2), 187-198