Description:

This theme focuses on the systematic computational analysis of Hadith using corpus linguistics, natural language processing (NLP), text mining, information retrieval, machine learning, deep learning, semantic technologies and knowledge representation. It covers authenticated corpus acquisition, corpus construction, Arabic and translated Hadith datasets, data provenance, text cleaning, Unicode normalization, tokenization, stemming, lemmatization, morphological processing, part-of-speech tagging, named-entity recognition, narrator-name extraction and linking, isnād–matn separation, feature engineering, text classification, topic modelling, clustering, semantic similarity, information extraction, sequential pattern mining, question answering, chatbot systems, ontology engineering, knowledge graphs, social-network representations and explainable AI.