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Journal : The Indonesian Journal of Computer Science

Sentiment Analysis on the FIFA U-20 World Cup in Argentina Using Support Vector Machine Warsito Sujatmiko, Achmad; Vitianingsih, Anik Vega; Kacung, Slamet; Cahyono, Dwi; Lidya Maukar, Anastasia
The Indonesian Journal of Computer Science Vol. 13 No. 3 (2024): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i3.3973

Abstract

The decision made by FIFA regarding the selection of the soundtrack and the host country for the FIFA U-20 World Cup has sparked emotional reactions among the public and raised concerns about the event, especially on social media platform X. This is due to FIFA’s decision to choose a soundtrack not from the host country, Argentina, but from the previous host, Indonesia. FIFA should advocate for the creation of a soundtrack by the host country to reflect its distinctive characteristics or atmosphere. Concerns about the U-20 World Cup in Argentina have also been fueled by the country’s economic crisis, which is feared to affect the facilities and infrastructure for the young players representing their nations. This research focuses on filtering public responses to FIFA’s decisions regarding the soundtrack selection and the host country for the U-20 World Cup into positive, neutral, and negative categories using the Support Vector Machine (SVM) method. The research aims to provide policy recommendations regarding the host selection process and cultural representation in international sports events. Additionally, this study is expected to provide a deeper understanding of the preferences and values held by the public regarding international sports. The research steps include data collection, pre-processing, labeling, weighting, and classification using a Support Vector Machine. The data for this research were obtained through crawling on social media platform X, totaling 2400 data points. The performance evaluation of the SVM algorithm using a 50:50 ratio of training and testing data yielded an average accuracy of 85.71%, Precision of 85.98%, Recall of 85.71%, and F1-score of 85.58%.
Co-Authors Abdul jalil Adam Ramadhan Adha, Iqlina Asmara Agus Supriono Ahmad Ihwanudin Akbar, Muhammad Mizan Ilham Ananias De Deus Anastasia Lidya Maukar Andreano, Rio Tito Anik Vega Vitianingsih Arifatul Jannah Aryo Fajar S Aryo Fajar Sunartomo Asfia Falasifa Asfia Falasifa Atik Ayu Wariska Atik Ayu Wariska Ayamilah, Yasaroti Azzarah, Azzarah Badriyah , Muflikhatul Basuki, Basuki Budi Santoso Cahyoadi Bowo Christy, Rullita Tio Deus, Ananias De Diah Ayu Retnani Wulandari Dian Ayu Retnani Wulandari Dwi Budi Santoso DWI CAHYONO Dwika Nano Hariyanto Ebban Bagus Kuntadi Endah Devi Astuti Erina Utami Faradisi, Nurul Jinan Hakim, Norma Kamilia Halimatus Sa'diyah Halwiyah, Lailatul Hana Sari Octavia Hariyanti, Yenny Hasan Fikri, Hasan Hermansyah, David Hidayat Hidayat Hidayat I Ketut Suada Indri Fariroh Intan Kartika Setyawati Irfa' Yudayantho Josi Ali Arifandi Lidya Maukar, Anastasia Lina Asri Wulandari Luluk Noviana Marcus dos Santos Soares Maulana, Muhammad Irfan Maulidiana, Putri Dwi Rahayu Maulidina, Niswah Saffanah Mohammad Ubaidilah Nathaniel, Talitha Nugraha, Azariz Ananta Leo Olandino Tome Francisco Dorosario de Sousa Parawita Dewanti Pasya Salsadilla Pradika, Yoga Reno Ayom Prakasa, Rivaldi Praset, Fahmi Puspito, Agung Nugroho Putri, Maharani Karunia Qonita Fathin Azizah Ratih Apri Utami Resmi, Aji Dita Restanto, Didik Pudji Rona Al Kanza Rudi Hartadi Rusdiana, Riza Yuli Sa'diyah, Halimatus Safari Kosasih Sandi, Akmalia Saputra, Yongky Purna Sarumaha, Yoseph Lutern Sa’diyah, Halimatus Setiyono Setiyono Sholeh Avivi Slameto Slameto Slameto Slameto Sobah, Naqiyyah Nada Sri Hartatik Sugeng Winarso Tiffany Rahma Abdillah Tri Agus Siswoyo TRI HANDOYO Tri Wahyu Saputra Ubaidillah, Mohammad Vega Kartika Sari Veronenci Yuliarbi Farlisa Warsito Sujatmiko, Achmad Wicaksono, Dandy Widya Kristiyanti Putri Yulianti, Annisa Zakaria Eka Saputra Zaujiah, Rima