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2019 | OriginalPaper | Chapter

Classification of Arabic Poems: from the \(5^{th}\) to the \(15^{th}\) Century

Authors : Mourad Abbas, Mohamed Lichouri, Ahmed Zeggada

Published in: New Trends in Image Analysis and Processing – ICIAP 2019

Publisher: Springer International Publishing

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Abstract

This paper describes a system for classification of Arabic poems according to the eras in which they were written. We used machine learning techniques where we applied a bunch of filters and classifiers. The best results were achieved by using the Multinomial Naïve Bayes (MNB) algorithm, with an accuracy equal to 70.21%, an F1-Score of 68.8% and a Kappa equal to 0.398, without filtering stop words. We observed that the stop words can have a positive impact on the accuracy but also a negative impact if it is used with word tokenizer preprocessing.

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Footnotes
Literature
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Metadata
Title
Classification of Arabic Poems: from the to the Century
Authors
Mourad Abbas
Mohamed Lichouri
Ahmed Zeggada
Copyright Year
2019
Book
New Trends in Image Analysis and Processing – ICIAP 2019

Print ISBN: 978-3-030-30753-0

Electronic ISBN: 978-3-030-30754-7

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-3-030-30754-7_18

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