Optimizing Qur'an Interpretation with Natural Language Processing Through Critical Review and Practical Implications

Objective: The purpose of this study is to examine the potential and challenges of the integration of Natural Language Processing (NLP) technology in the study of Qur'an interpretation in response to the need for more adaptive interpretation in the digital era. Theoretical framework: The theoretical framework of this research is based on the interdisciplinary between Islamic studies, computational linguistics, and artificial intelligence, especially in the context of Natural Language Processing. Literature review: The literature review includes classical and contemporary literature on Qur'anic interpretation, as well as an exploration of digital projects that utilize NLP in the processing of religious texts. Methods: This study uses a qualitative descriptive approach based on a literature study to analyze the development of NLP technology and its relevance in interpretation studies. Results: The results show that NLP has great potential as a strategic tool in Islamic education, da'wah, and research, especially if it is developed ethically and collaboratively between experts from various disciplines. Implication: The implication of this study is the need to build a digital interpretation system that is not only technologically sophisticated, but also sensitive to the theological, cultural, and spiritual values of Muslims. Novelty: The novelty of this research lies in the proposal of NLP integration as an alternative approach in the study of contextual and adaptive interpretation of the Qur'an to the needs of the digital generation, as well as the emphasis on the importance of cross-field collaboration to ensure scientific accuracy and relevance.