A Classification of Al-hur Arabic Poetry and Classical Arabic Poetry by Using Support Vector Machine, Naïve Bayes, and Linear Support Vector Classification

نویسندگان

چکیده

Most of the world languages have made strides in analyzing and classifying texts electronically; hence, use electronic text has become a great alternative to manual classification as it reduces time, cost, difficulty. However, Arabic language, analysis not progressed due several limitations faced by researchers this field, such complexity lack related research, well classical language. In addition, poetry other limitations, system that uses single activation function. new method was developed for Al-hur poetry. This approach is based on features indicate type Pre-processing some data important helps increase accuracy

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ژورنال

عنوان ژورنال: Iraqi journal for computer science and mathematics

سال: 2022

ISSN: ['2788-7421']

DOI: https://doi.org/10.52866/ijcsm.2022.02.01.014