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General Information
    • ISSN: 2010-3751
    • Frequency: Bimonthly (2012-2016); Quarterly (Since 2017)
    • DOI: 10.18178/IJFCC
    • Editor-in-Chief: Prof. Mohamed Othman
    • Executive Editor: Ms. Nancy Y. Liu
    • Abstracting/ Indexing: Google Scholar, Engineering & Technology Digital Library, and Crossref, DOAJ, Electronic Journals LibraryEI (INSPEC, IET).
    • E-mail:  ijfcc@ejournal.net 
Editor-in-chief
Prof. Mohamed Othman
Department of Communication Technology and Network Universiti Putra Malaysia, Malaysia
It is my honor to be the editor-in-chief of IJFCC. The journal publishes good papers in the field of future computer and communication. Hopefully, IJFCC will become a recognized journal among the readers in the filed of future computer and communication.
IJFCC 2017 Vol.6(2): 42-46 ISSN: 2010-3751
doi: 10.18178/ijfcc.2017.6.2.486

Machine Learning for Authorship Attribution in Arabic Poetry

Al-Falahi Ahmed, Ramdani Mohamed, and Bellafkih Mostafa
Abstract—This paper presented an authorship attribution in Arabic poetry using machine learning. Public features in poetry such as Characters, Poetry Sentence length; Word length, Rhyme, Meter and First word in the sentence are used as input data for text mining classification algorithms Naïve Bayes NB and Support Vector Machine SVM. The main problem: Can we automatically determine who poet wrote an unknown text, to solve this problem we use style markers to identify the author. The dataset of this work was divided into two groups: training dataset with known Poets and test dataset with unknown Poets. In this work, a group of 73 poets from completely different eras are used. The Experiment shows interesting results with classification precision of 98.63%.

Index Terms—Authorship attribution, Arabic poetry, text classification, NB, SVM.

Al-Falahi Ahmed is with Computer Science Department in FEN, IBB University, IBB, Yemen (e-mail: flahi79@gmail.com).
Ramdani Mohamed is with Département d’informatique -FSTM Université Hassan II Casablanca, Mohammediah, Morocco (e-mail: moha@fstm.ac.ma).
Bellafkih Mostafa is with Institut National des Postes et Télécommunications, INPT-Rabat Rabat, Morocco (e-mail: bellafki@inpt.ac.ma).

[PDF]

Cite: Al-Falahi Ahmed, Ramdani Mohamed, and Bellafkih Mostafa, "Machine Learning for Authorship Attribution in Arabic Poetry," International Journal of Future Computer and Communication vol. 6, no. 2, pp. 42-46, 2017.

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