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All Journal MATICS : Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology) Jurnal Edukasi dan Penelitian Informatika (JEPIN) Fountain of Informatics Journal IT JOURNAL RESEARCH AND DEVELOPMENT Fair Value: Jurnal Ilmiah Akuntansi dan Keuangan JISKa (Jurnal Informatika Sunan Kalijaga) Jurnal Informatika dan Rekayasa Perangkat Lunak ILKOMNIKA: Journal of Computer Science and Applied Informatics Journal of Advanced in Information and Industrial Technology (JAIIT) Jurnal Saintekom : Sains, Teknologi, Komputer dan Manajemen JENTIK Journal of Information Technology and Cyber Security JuTISI (Jurnal Teknik Informatika dan Sistem Informasi)
Syahiduz Zaman
Teknik Informatika Universitas Islam Negeri Maulana Malik Ibrahim Malang
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Library & Information Science

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Journal : IT JOURNAL RESEARCH AND DEVELOPMENT

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Text Mining Approach to Emotion Analysis in Translation of Surah Yusuf With NRC Emotion Lexicon Syafiqah, Annisa; Zaman, Syahiduz; Imamudin, Mochamad
IT Journal Research and Development Vol. 9 No. 2 (2025)
Publisher : UIR PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/itjrd.2025.17765

Abstract

In the digital era, the accessibility of vast textual data, including the Quran, has facilitated broader comprehension of its teachings. This study analyzes the emotions in the English translation of Surah Yusuf using the NRC Emotion Lexicon. The findings show that trust is the most dominant emotion (22.89%), followed by joy (15.66%), anticipation (13.25%), sadness (12.05%), fear (10.84%), anger (9.64%), surprise (8.43%), and disgust (7.23%). These results confirm the text's diverse emotional expressions and the effectiveness of the lexicon-based method. The research aligns with the initial goals and highlights the potential of emotion analysis in understanding religious texts. Future research can expand the analysis to more verses and use machine learning for improved accuracy. This study aids scholars and students in exploring the Quran's emotional and spiritual dimensions and can be adapted to other texts for broader applications.
Co-Authors AA Sudharmawan, AA Abdush Shomad Bukhori Agung Teguh Wibowo Almais Ainul Yaqin Alya Fitria Baskoro, Sentot Eko Caterina, Yessy Dewa Bagus Alif Rosyadi Erfin, Mahadir Muhamad Fitria, Alya Ida Ayu Putu Sri Widnyani M. Ainul Yaqin Mahadir Muhamad Erfin Maharani, Hamidah Lutfiyanti Maulidah Fithriyah Mochamad Imamudin Mufiddin, Rifqi Munajatul Azizah Putri Purnamasari Rafika Syahranita Rifqi Mufiddin Siti Muslihaeny Suhartono Syafiqah, Annisa Syauqi, A’la Tamaulina Br Sembiring Taufik Ardiansyah Putra Totok Chamidy Yessy Caterina