A Classification of Al-hur Arabic Poetry and Classical Arabic Poetry by Using Support Vector Machine, Naïve Bayes, and Linear Support Vector Classification
Most of the world languages have made strides in analyzing and classifying texts electronically; hence, the use of electronic text has become a great alternative to manual classification as it reduces time, cost, and difficulty. However, in the Arabic language, electronic analysis has not progress...
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Format: | Article |
Language: | English |
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College of Education, Al-Iraqia University
2022-07-01
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Series: | Iraqi Journal for Computer Science and Mathematics |
Online Access: | https://journal.esj.edu.iq/index.php/IJCM/article/view/339 |
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author | Munef Abdullah Ahmed |
author_facet | Munef Abdullah Ahmed |
author_sort | Munef Abdullah Ahmed |
collection | DOAJ |
description |
Most of the world languages have made strides in analyzing and classifying texts electronically; hence, the use of electronic text has become a great alternative to manual classification as it reduces time, cost, and difficulty. However, in the Arabic language, electronic analysis has not progressed due to several limitations faced by researchers in this field, such as the complexity of the Arabic language, the lack of related research, as well as the use of the classical Arabic language. In addition, Arabic poetry has other limitations, such as the use of a system that uses a single activation function. In this research, a new method was developed for the classification of the classical Arabic poetry and Al-hur poetry. This new approach is based on features that indicate the type of poetry. Pre-processing of
some data is important in this new approach as it helps increase the accuracy of classification
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first_indexed | 2024-03-11T15:18:52Z |
format | Article |
id | doaj.art-296c40456e8e4860b10768f82cb70437 |
institution | Directory Open Access Journal |
issn | 2958-0544 2788-7421 |
language | English |
last_indexed | 2024-03-11T15:18:52Z |
publishDate | 2022-07-01 |
publisher | College of Education, Al-Iraqia University |
record_format | Article |
series | Iraqi Journal for Computer Science and Mathematics |
spelling | doaj.art-296c40456e8e4860b10768f82cb704372023-10-29T06:16:23ZengCollege of Education, Al-Iraqia UniversityIraqi Journal for Computer Science and Mathematics2958-05442788-74212022-07-013210.52866/ijcsm.2022.02.01.014306A Classification of Al-hur Arabic Poetry and Classical Arabic Poetry by Using Support Vector Machine, Naïve Bayes, and Linear Support Vector ClassificationMunef Abdullah Ahmed0Faculty of Automatic Control and Computers, University Polytechnic of Bucharest 313 Splaiul Independentei, 060042, Romania. Most of the world languages have made strides in analyzing and classifying texts electronically; hence, the use of electronic text has become a great alternative to manual classification as it reduces time, cost, and difficulty. However, in the Arabic language, electronic analysis has not progressed due to several limitations faced by researchers in this field, such as the complexity of the Arabic language, the lack of related research, as well as the use of the classical Arabic language. In addition, Arabic poetry has other limitations, such as the use of a system that uses a single activation function. In this research, a new method was developed for the classification of the classical Arabic poetry and Al-hur poetry. This new approach is based on features that indicate the type of poetry. Pre-processing of some data is important in this new approach as it helps increase the accuracy of classification https://journal.esj.edu.iq/index.php/IJCM/article/view/339 |
spellingShingle | Munef Abdullah Ahmed A Classification of Al-hur Arabic Poetry and Classical Arabic Poetry by Using Support Vector Machine, Naïve Bayes, and Linear Support Vector Classification Iraqi Journal for Computer Science and Mathematics |
title | A Classification of Al-hur Arabic Poetry and Classical Arabic Poetry by Using Support Vector Machine, Naïve Bayes, and Linear Support Vector Classification |
title_full | A Classification of Al-hur Arabic Poetry and Classical Arabic Poetry by Using Support Vector Machine, Naïve Bayes, and Linear Support Vector Classification |
title_fullStr | A Classification of Al-hur Arabic Poetry and Classical Arabic Poetry by Using Support Vector Machine, Naïve Bayes, and Linear Support Vector Classification |
title_full_unstemmed | A Classification of Al-hur Arabic Poetry and Classical Arabic Poetry by Using Support Vector Machine, Naïve Bayes, and Linear Support Vector Classification |
title_short | A Classification of Al-hur Arabic Poetry and Classical Arabic Poetry by Using Support Vector Machine, Naïve Bayes, and Linear Support Vector Classification |
title_sort | classification of al hur arabic poetry and classical arabic poetry by using support vector machine naive bayes and linear support vector classification |
url | https://journal.esj.edu.iq/index.php/IJCM/article/view/339 |
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