Abstract
The book of God (Quran) referenced by more than 1.6 billion of Muslims around the world. Extracting information from the Quran is of high benefit for both specialized as well as non-specialized people in religion. The Quran language is Arabic. Since the best software of text mining like Matlab and R doesn’t sport Arabic language. However, this paper proposes a technical method for using Matlab text analytic toolbox for Arabic text.
The aim of this paper is to find the approaches for analysing Arabic text of Quran and then providing statistical information which might be helpful for the people in this research area, then different text mining operations are applied like wordcloud, word embedding, clustering, topic and classification. Also in this paper the classification of verses is given by topics using LDA, SVM and neural network.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Abdul Sattar, H.: Conjugating Regular Verbs and Derived Nouns. Sacred Learning Publishers, Carrollton (2012)
Al-Faqih, K.M.: A mathematical phenomenon in the Quran of earth-shattering proportions: a Quranic theory based on gematria determining Quran primary statistics (words, verses, chapters) and revealing its fascinating connection with the golden ratio. J. Arts Humanit. 6(6), 52–73 (2017)
El Mouatasim, A.: Simple and multiple linear regression of verbs in Quran. Am. J. Comput. Math. 8, 68–77 (2018)
Alhawarat, M., Hegazi, M., Hilal, A.: Processing the text of the Holy Quran: a text mining study. Int. J. Adv. Comput. Sci. Appl. 6(2), 262–267 (2015)
Tanzil.net: Tanzil Quran text download (2014). http://tanzilnet/download/
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
El Mouatasim, A., Oudaani, J. (2019). Topics Classification of Arabic Text in Quran by Using Matlab. In: Farhaoui, Y., Moussaid, L. (eds) Big Data and Smart Digital Environment. ICBDSDE 2018. Studies in Big Data, vol 53. Springer, Cham. https://doi.org/10.1007/978-3-030-12048-1_34
Download citation
DOI: https://doi.org/10.1007/978-3-030-12048-1_34
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-12047-4
Online ISBN: 978-3-030-12048-1
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)