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

Syafiqah, Annisa, Zaman, Syahiduz and Imamudin, Mochamad (2025) Text Mining Approach to Emotion Analysis in Translation of Surah Yusuf With NRC Emotion Lexicon. IT Journal Research and Development (ITJRD), 9 (2). pp. 108-122. ISSN 2528-4061

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Abstract

This study analyzes the emotions in the English translation of Surah Yusuf using the NRC Emotion Lexicon and text mining techniques. Focusing on eight basic emotions—anger, fear, sadness, disgust, surprise, anticipation, trust, and joy—the research identifies trust as 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 align with the narrative themes of prophecy, betrayal, forgiveness, and divine providence in Surah Yusuf. The findings highlight the effectiveness of lexicon-based methods in analyzing religious texts and provide insights into the emotional and spiritual dimensions of the Quran. This research contributes to the field of text mining in religious studies and has implications for education and religious interpretation. Future studies could expand the analysis to more verses, integrate machine learning techniques, and apply this approach to other religious texts.

Item Type:	Journal Article
Keywords:	Emotion Analysis;Sentiment analysis;Surah Yusuf;Text Mining
Subjects:	08 INFORMATION AND COMPUTING SCIENCES > 0802 Computation Theory and Mathematics > 080201 Analysis of Algorithms and Complexity 08 INFORMATION AND COMPUTING SCIENCES > 0802 Computation Theory and Mathematics
Divisions:	Faculty of Technology > Department of Informatics Engineering
Depositing User:	Syahiduz Zaman
Date Deposited:	01 Dec 2025 11:00

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