A Visual Analytics based Investigation on the Authorship of the Holy Quran

Halim Sayoud

2015

Abstract

In this paper, we present a visual analytics based investigation for the task of authorship attribution of the holy Quran with regards to the Hadith Author (the Prophet). This can be seen as an authorship discrimination task between the two religious books: Quran vs Hadith. The first book represents the Divine book written by Allah (God) as claimed by the Prophet Muhammad, whereas the second one represents a collection of certified Prophet’s statements. Two visual analytics clustering methods are employed, namely: a Hierarchical Clustering and Fuzzy C-mean Clustering. On the other hand, seven types of NLP features are combined and normalized by PCA reduction before the classification process. The visual analytics results have revealed interesting results in 2D and 3D disposition. In summary, they show two main clusters in both experiments: Quran cluster and Hadith cluster; and the disposition of the resulting clusters corresponds to a clear authorship distinction between the two religious books.

Paper Citation

in Harvard Style

Sayoud H. (2015). A Visual Analytics based Investigation on the Authorship of the Holy Quran . In Proceedings of the 6th International Conference on Information Visualization Theory and Applications - Volume 1: IVAPP, (VISIGRAPP 2015) ISBN 978-989-758-088-8, pages 177-181. DOI: 10.5220/0005355601770181

in Bibtex Style

@conference{ivapp15,
author={Halim Sayoud},
title={A Visual Analytics based Investigation on the Authorship of the Holy Quran},
booktitle={Proceedings of the 6th International Conference on Information Visualization Theory and Applications - Volume 1: IVAPP, (VISIGRAPP 2015)},
year={2015},
pages={177-181},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005355601770181},
isbn={978-989-758-088-8},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 6th International Conference on Information Visualization Theory and Applications - Volume 1: IVAPP, (VISIGRAPP 2015)
TI - A Visual Analytics based Investigation on the Authorship of the Holy Quran
SN - 978-989-758-088-8
AU - Sayoud H.
PY - 2015
SP - 177
EP - 181
DO - 10.5220/0005355601770181