Abstract
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, anddifficulty. However, in the Arabic language, electronic analysis has not progressed due to several limitations faced byresearchers in this field, such as the complexity of the Arabic language, the lack of related research, as well as the useof the classical Arabic language. In addition, Arabic poetry has other limitations, such as the use of a system that usesa single activation function. In this research, a new method was developed for the classification of the classical Arabicpoetry and Al-hur poetry. This new approach is based on features that indicate the type of poetry. Pre-processing ofsome data is important in this new approach as it helps increase the accuracy of classification
Recommended Citation
Ahmed, Muneef Abdullah
(2022)
"A Classification of Al-hur Arabic Poetry and Classical ArabicPoetry by Using Support Vector Machine, Naïve Bayes, and LinearSupport Vector Classification,"
Iraqi Journal for Computer Science and Mathematics: Vol. 3:
Iss.
2, Article 14.
DOI: https://doi.org/10.52866/ijcsm.2022.02.01.014
Available at:
https://ijcsm.researchcommons.org/ijcsm/vol3/iss2/14
