A topical classification of Quranic arabic text
Mohammed Naji Al-Kabi, Belal M. Abu Ata, Heider A. Wahsheh, Izzat Mahmoud Alsmadi · Advances in Information Technology · 2013
The automatic information classification is an important tool used today in many aspects of our life. This tool is used in document classification, speech recognition, handwriting recognition, search engines, data mining, question-answering systems, etc. There are many conducted studies in the area of English and Arabic textual document/sentence classification. However, the literature has one or two primitive studies to classify the Holy Quran Ayats (verses). This study aims to evaluate the effectiveness of four well-known classification algorithms (Decision Tree, K-Nearest Neighbor (K-NN), Support Vector Machine (SVM) and Naive Bayes (NB)) to classify different Quranic Ayats according to their topics.