Predicting Revelation Periods of Verses of the Quran via Deep Learning

The revelation period of a verse of the Quran provides invaluable insights into the historical context of that verse, helps us understand the prophet's biography, and empowers Islamic scholars to decide about the applicability of certain laws and/or to interpret that verse. They mostly relied on traditional methods (such as the occurrence of certain words and phrases, topics discussed, historical references, etc.) to decide the revelation periods of verses of the Quran. With modern deep-learning-based natural language processing (NLP) techniques, learning more complex patterns is possible, which may help us achieve this goal better. To our knowledge, no such attempt has been made before. Here, we attempt to fill this gap by employing different variations of a deep learning model to classify verses of the Quran into Meccan/Medinan categories. We analyze and interpret our results to get interesting insights.