IT JOURNAL RESEARCH AND DEVELOPMENT
Vol. 9 No. 2 (2025)

Text Mining Approach to Emotion Analysis in Translation of Surah Yusuf With NRC Emotion Lexicon

Syafiqah, Annisa (Unknown)
Zaman, Syahiduz (Unknown)
Imamudin, Mochamad (Unknown)



Article Info

Publish Date
12 Mar 2025

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.

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Journal Info

Abbrev

ITJRD

Publisher

Subject

Computer Science & IT Control & Systems Engineering Engineering

Description

Information Technology Journal Research and Development (ITJRD) adalah Jurnal Ilmiah yang dibangun oleh Prodi Teknik Informatika, Universitas Islam Riau untuk memberikan sarana bagi para akademisi dan peneliti untuk mempublikasikan tulisan dan karya ilmiah di Bidang Teknologi Informatika. Adapun ...