- Our May guest blog editor, Professor Mairaj Syed, Associate Professor of Religious Studies at University of California- Davis, wrote “An Experiment in Natural Language Processing, Machine Learning, and Islamic Law,” a two part series about experimenting in natural language processing, machine learning, and Islamic law for our blog on Islamic law.
- In “Analysis the Arabic Authorship Attribution Using Machine Learning Methods: Application on Islamic Fatwā” (in Recent Trends in Data Science and Soft Computing, Cham: Springer, (2018)), Mohammed Al-Sarem and Abdel-Hamid Emara address the author attribution problem in the context of an Islamic fatwā’, using three machine-learning classifiers namely, the locally weighted learning (LWL) classifier, decision tree C4.5, and Random Forest (RF).