Open AccessProposing machine learning of Tafsir al-Quran: In search of objectivity with semantic analysis and Natural Language Processing
Author(s) -
Dardya Putra,
Muhammad Yusuf
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1098/2/022101
Subject(s) - objectivity (philosophy) , subjectivity , novelty , computer science , artificial intelligence , interpretation (philosophy) , natural language processing , computer technology , epistemology , philosophy , multimedia , programming language , theology
Computer technology is neutral information technology without any subjectivities and biases. The advantages of computer technology can help to minimize intervention and subjectivity in the interpretation of the Quran. The problem of subjectivity in interpretation of the Quran is a long discussion. However, Interpretation of Quran has interrelated each other called tafsir al-Quran bil Quran method. This article proposes objective methodology and design of machine learning of Tafsir al-Quran using the advances in data science technology. Using the latest artificial intelligence technology that is Machine Learning and Natural Language Processing (NLP). Furthermore, this proposal proves the novelty of the role of technology in the preparation of religious material in millennial life from a secondary role to a primary role.