Digital Islamic Humanities

Digital Islamic Humanities

The Study on Quranic surahs' Structured-ness and their Order Organization Using NLP Techniques

Document Type : Original Article

Authors
Ehsan Khadangi
Hosein Haghi tarooni
Assistant Professor of Computer Science Department, Faculty of Engineering, Shahed University,Tehran,Iran
10.22034/disah.2024.716139
Abstract
In recent years, the structure of the Quranic surahs has garnered significant attention from Quranic structural researchers. One of the theories presented in this regard is the theory of thematic unity, which posits that each surah of the Quran is formed around a single, unified topic. The theory of "commandments and elaboration," as one of the most important branches of thematic unity, suggests that God presents the subject of each surah in the first section, elaborates on it in various ways in the following sections, and finally draws a conclusion in the closing section. In this paper, we aim to study these two theories using natural language processing techniques. In this regard, we used three methods: TF-IDF, Word2Vec word embeddings, and the co-occurrence of roots within the verses, to calculate the similarity of Quranic roots. Subsequently, the degree of conceptual similarity between the surahs was computed and compared to a random state. The results show that the surahs of the Quran exhibit semantic coherence, in the sense that the concepts and topics within the surahs revolve around a specific subject. Furthermore, the examination of the similarity between the first and last sections, as well as the first and subsequent sections of each surah, indicates that the theory of "commandments and elaboration" holds true for many surahs. Finally, by analyzing the similarity between the surahs based on their sequential order in the Quran and their chronological revelation throughout history, it was determined that surahs that are closer in arrangement also show greater similarity to each other. Thus, it appears that the Quran as a whole has a structured arrangement, with surahs grouped into related clusters within the Quran.
Keywords
Natural Language Processing
Word2vec
Quran
Topic Sameness
Surahs' Structured-ness
Tf-idf
 
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Digital Islamic Humanities
Volume 1, Issue 1
September 2025
Pages 123-154