Article Per Year (5 Year)
p-Index From 2021 - 2026
4.663
P-Index
This Author published in this journals
All Journal Tekno : Jurnal Teknologi Elektro dan Kejuruan Teknologi dan Kejuruan: Jurnal teknologi, Kejuruan dan Pengajarannya Jurnal Pendidikan Sains Jurnal Edukasi dan Penelitian Informatika (JEPIN) Jurnal Pendidikan: Teori, Penelitian, dan Pengembangan JOIV : International Journal on Informatics Visualization VOLT : Jurnal Ilmiah Pendidikan Teknik Elektro PEMBELAJAR: Jurnal Ilmu Pendidikan, Keguruan, dan Pembelajaran Pendas : Jurnah Ilmiah Pendidikan Dasar ILKOM Jurnal Ilmiah SENTIA 2016 Buletin Ilmiah Sarjana Teknik Elektro SOSIOEDUKASI : JURNAL ILMIAH ILMU PENDIDIKAN DAN SOSIAL Letters in Information Technology Education (LITE) Jurnal Graha Pengabdian Ideguru: Jurnal Karya Ilmiah Guru Didaktika: Jurnal Kependidikan Science in Information Technology Letters International Journal of Engineering, Science and Information Technology Bulletin of Community Engagement Jurnal Informatika Teknologi dan Sains (Jinteks) Jurnal Integrasi dan Harmoni Inovatif Ilmu-ilmu Sosial Jurnal Inovasi Teknologi dan Edukasi Teknik ABDI UNISAP: Jurnal Pengabdian Kepada Masyarakat
Wahyu Sakti Gunawan Irianto
Universitas Negeri Malang
Religion Arts Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Social Sciences Transportation Other

Published : 43 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search
Journal : Science in Information Technology Letters

 1 
Analyzing event relationships in Andersen's Fairy Tales with BERT and Graph Convolutional Network (GCN) Daniati, Erna; Wibawa, Aji Prasetya; Irianto, Wahyu Sakti Gunawan; Ghosh, Anusua; Hernandez, Leonel
Science in Information Technology Letters Vol 5, No 1 (2024): May 2024
Publisher : Association for Scientific Computing Electronics and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/sitech.v5i1.1810

Abstract

This study explores the narrative structures of Hans Christian Andersen's fairy tales by analyzing event relationships using a combination of BERT (Bidirectional Encoder Representations from Transformers) and Graph Convolutional Networks (GCN). The research begins with the extraction of key events from the tales using BERT, leveraging its advanced contextual understanding to accurately identify and classify events. These events are then modeled as nodes in a graph, with their relationships represented as edges, using GCNs to capture complex interactions and dependencies. The resulting event relationship graph provides a comprehensive visualization of the narrative structure, revealing causal chains, thematic connections, and non-linear relationships. Quantitative metrics, including event extraction accuracy (92.5%), relationship precision (89.3%), and F1 score (90.8%), demonstrate the effectiveness of the proposed methodology. The analysis uncovers recurring patterns in Andersen's storytelling, such as linear event progressions, thematic contrasts, and intricate character interactions. These findings not only enhance our understanding of Andersen's narrative techniques but also showcase the potential of combining BERT and GCN for literary analysis. This research bridges the gap between computational linguistics and literary studies, offering a data-driven approach to narrative analysis. The methodology developed here can be extended to other genres and domains, paving the way for further interdisciplinary research. By integrating state-of-the-art NLP models with graph-based machine learning techniques, this study advances our ability to analyze and interpret complex textual data, providing new insights into the art of storytelling
Co-Authors Abbar, Habib Muhammad Abdul Hadi, Afif Agro Lukman Putra Aguwin Ardi Pranata Ahmad Fuadi Ahsan, Muhammad Zamani Aji Prasetya Wibawa Al-Jabbar, Habib Muhammad Amrullah, Muhammad Shalahuddin Ananda Putri Syaviri Anik Nur Handayani Anusua Ghosh, Anusua Artina Tri Wistiawati Ashshiddiqi, Dimas Jundan Asmoro, Achmad Shoddiq Bayu Budi Wibowotomo Damanhuri, Nor Salwa Didik Dwi Prasetya Dila Umnia Soraya Dolly Indra Eka Rahayu Setyaningsih Erna Daniati Ernis Hidayati Evania Kurniawati Fahreza, M. Dimas Aviv Falah, Moh. Zainul Febri Handoyo Fitri, Anisa Hilya Hakkun Elmunsyah Haqiqi, Ahmad Faiz Risvan Hasriani Hermansyah Heru Wahyu Herwanto I Made Wirawan Isnandar Isyatul Karimah Joumil Aidil Saifuddin Khamdan, Candra Wahyu Nur Kirana, Karika Candra Krisnawan, Shandy Leonel Hernandez, Leonel lilis nurhayati M. Rodhi Faiz, M. Rodhi Milenia, Herpri Mohammad Husein An Nabawi Muhammad Afnan Habibi Muhammad Jauharul Fuady Mungalim, Rifqy Nafalski, Andrew Nugroho, Andhik Catur Nugroho, Bagas Putra, Adhi Pramana Estiawanda Ria Febrianti Rina Dewi Indahsari Rizka Afdalia Rosa Andrie Asmara Saifuddin, Farikh Saputra, Ismed Eko Hadi Sari, Gilang Rafiqa Setiadi Cahyono Putro Setyaningsih, Eka Rahayu Siti Salina Mustakim Siti Sendari Slamet Wibawanto Sujito Sujito Syaad Patmanthara Syah, Abdullah Iskandar Triyanna Widiyaningtyas Ulum, Khoirul Utomo Pujianto Veithzal Rivai Zainal Wardhana, Nyoman Dedi Kusuma Widayanti, Erma Widiyanti Wistiawati, Artina Tri Yosi Kristian Yoto Yoto Yuni Rahmawati