Semantic Network based Classifier of Holy Quran

Abstract

Automated Text Categorization (ATC) is a useful technology to build such software tool that can categorize a document to one of many predefined categories. Unfortunately there is no as such classifier for Holy Quran, one of the most important documents of the universe. This is because Holy Quran is written in Arabic and Arabic language processing is yet not that mature that language processing can be done. This paper aims on building a software tool that can categorize any verse of Holy Quran to one of predefined categories and if it is not falling in one of predefined categories it can automatically define a new category. New category will be added to database for future categorization process. Moreover, this categorization is not just based upon word count rather it is based upon word as well as meaning of the words in the verse and there correspondence in semantic network. The semantic network for this task is created and used in this classification. This tool will help those people who want to know the theme of a verse of Holy Quran.

Intelligent Mass-Prayer Assistant for Muslims (IMAM)

“…The methodologies of the previous studies are varied from text classification and artificial intelligence networks. For instance, in the studies [3]- [6], the authors use the traditional text classification approaches, whereas the studies [7]- [9] use neural networks to classify and text recognition for Quranic verses.…”

Processing the Text of the Holy Quran: a Text Mining Study

“…Few research studies have considered the Arabic text of Quran [5], [6], [7], [8], instead many studies deal with the translations of the meaning of the words of the holy Quran [9], [10], [11], [12], [13], [14]. Kais and his colleagues have created an open source Quranic corpus [15] using both arabic words as well as translations of these words.…”