Abstract

One of the attempts to understand the meaning and content of the Quran, the central religious text of Islam, is the topic classification of Quranic verses. Verse topic classification aims to help the reader, so he can easily and quickly find information or knowledge contained in the Quran. In this paper, we build a classification model for the topics of English- translated Quranic verses using Support Vector Machine (SVM). The problem of classification of topics of Quranic verses is categorized as a multi-label classification problem. Hence, we design an SVM-based classifier to solve the multi-label classification of topics of Quranic verses. We also implement several techniques such as preprocessing, feature extraction, and dimensionality reduction to solve this problem. Then, we use Hamming Loss as a performance measure to evaluate our proposed classifier model. We find that our proposed model yields outstanding results.

Highlights

  • Various attempts have been made to understand the meaning and content of the main holy book of Islam, the Quran

  • Before we build the system, we found that about 55% of Quranic verses are multi-label in nature, which means that some verses can be considered as one topic but can be considered as two or more topics

  • We examined our model using three different Support Vector Machine (SVM) kernels: Linear kernel, RBF kernel, and Sigmoid kernel

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Summary

Introduction

Various attempts have been made to understand the meaning and content of the main holy book of Islam, the Quran. One of the attempts to understand the meaning and the content of the Quran is translation and interpretation. Another attempt such as Quranic verse topic classification can help the reader to find information or knowledge inside the Quran. One of Quranic verse topic classification was created by Dr Muhammad Hasan Al-Himshy in the Tafsir wa Bayan AlQuran, published by Dar ar-Rasyid in Damascus. Tafsir wa Bayan Al-Quran classifies Quranic verses by topic or theme contained in each Quran verse and used in many Quran publisher such as Syammil Quran. Some have created a digital Quran as an attempt to access Quran in a faster and easier manner

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