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Journal : csrid

Analisis Sentimen Model Distilbert Multilingual Cased Dalam Mengklasifikasikan Ulasan Game Genshin Impact Abdullah Sajad; Nurmalitasari Nurmalitasari; Eko Purwanto
Computer Science Research and Its Development Journal Vol. 16 No. 2 (2024): June 2024
Publisher : LPPM Universitas Potensi Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22303/csrid.16.2.2024.124-136

Abstract

The evolution of information technology has revolutionized how humans engage with the world, particularly within the gaming sector. This paper explores the utilization of the DistilBERT Multilingual Cased model for analyzing sentiments expressed in Genshin Impact game reviews. The research methodology encompasses gathering data from Google PlayStore and Apple AppStore, manually labeling data, preprocessing it, and employing the DistilBERT Multilingual Cased model for analysis. The model's performance is assessed using metrics such as accuracy, precision, recall, and f1-score. Findings reveal that the model effectively categorizes sentiment in reviews, achieving an overall accuracy of 82%. Precision, recall, and f1-score metrics consistently surpass 0.77 across all sentiment categories. This study concludes that the DistilBERT Multilingual Cased model shows promise as a valuable tool for multilingual sentiment analysis within the realm of game reviews.
Analisis Sentimen Model Distilbert Multilingual Cased Dalam Mengklasifikasikan Ulasan Game Genshin Impact Sajad, Abdullah; Nurmalitasari, Nurmalitasari; Purwanto, Eko
CSRID (Computer Science Research and Its Development Journal) Vol. 16 No. 2 (2024): June 2024
Publisher : LPPM Universitas Potensi Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22303/csrid-.16.2.2024.124-136

Abstract

The evolution of information technology has revolutionized how humans engage with the world, particularly within the gaming sector. This paper explores the utilization of the DistilBERT Multilingual Cased model for analyzing sentiments expressed in Genshin Impact game reviews. The research methodology encompasses gathering data from Google PlayStore and Apple AppStore, manually labeling data, preprocessing it, and employing the DistilBERT Multilingual Cased model for analysis. The model's performance is assessed using metrics such as accuracy, precision, recall, and f1-score. Findings reveal that the model effectively categorizes sentiment in reviews, achieving an overall accuracy of 82%. Precision, recall, and f1-score metrics consistently surpass 0.77 across all sentiment categories. This study concludes that the DistilBERT Multilingual Cased model shows promise as a valuable tool for multilingual sentiment analysis within the realm of game reviews.
Co-Authors Abdullah Sajad Afu Ichsan Pradana Afu Ichsan Pradana Agus Mardiyono Agustina Srirahayu Ajeng Putri Sulistyawati Akhmad, Khabib Alia Alia Akhmad, Khabib Anggit Nurhidayah Annisa Zalzabilla Rahmawati Aprilisa Arum Sari Ari Zusnan Fahrudin Arya Kusumadewa Atina, Vihi Aulia Fajria Hafidhotun Awong Long, Zalizah Bambang Prasetyo Bangun Pradjadi Cipto Utomo Bangun Prajadi Cipto Utomo Benaya Chessa Sarmanela binti Mohd, Farahwahida Devi Pramita Sari Dewi Kuncorowati Didik Nugroho Djoko Santosa, Tri Dwi Hartanti Dwi Septieni Ema Sagita Desylawati Ery Permana Yudha Fadhil Ibnu Is’ad Farahwahida Mohd Farahwahida Mohd Fathin Ryfsa Fadilah FAULINDA ELY NASTITI Fauzan Sadewa Feny Ramadhani Feri Setiyono Fiqih Dwi Rifai Ghoffar Pangestya Prabowo hanifa Permatasari Hanifah Permatasari, M.Kom Hartanti, Dwi Hartono - Ilham Fahrul Pratama Imam Arifin Indah Nofikasari Indra Hastuti Intan Oktaviani Karima, Yuyun Kris Dayanti Kuswulandari, Reni Liana Trihardianingsih Long, Zalizah Awang Manase Rezata Purba Marginingsih Marginingsih Maulindar, Joni Mohd, Farahwahida Mohd, Farahwahida binti Muhammad Ilham Pratama Niken Galuh Aryani Norma Puspitasari Novita Widyasari Nurchim Nurchim Nurmalitasari Nurmalitasari Nurmalitasari Nurrohman Otami Amalina Pamekas, Bondan Wahyu Permana Yudha, Ery Permatasari, Hanifah Pipin Widyaningsih Prastya, Alvian Bagus Puspita Indah, Ratna Rahmadhani, Istining Ratmini, Yuli Ratna Puspita Indah Rohmat Eko Prasetyo Rudi Susanto, S.Si., M.Si., Ph.D Sabar Sularno Sajad, Abdullah Santosa, Tri Djoko Sari, Hanifah Permata Setiyani, Rahmawati Shandra Isti Kharisma Auliya Alamsyah Sigit Gunawan Singgih Purnomo Softi Ulin Nuha Sopingi Sri Ningrum Sri Rejeki Sri Sumarlinda Sri Sumarlinda, S.Kom, M.Kom, Ph.D Sri Surmalinda Sukma Rahmawati Sundari . Taufiq Nur Arifin Titin Listiani Triyono Triyono Umar Choirul Hadi Velinda Febriana Verdiyanto, Ricky Wiji Lestari Wijiyanto Yusmawan Dwi Suseno Yusuf Esema Zakhi Febriyan