Categorization Arabic Text Using SVM and KNN Algorithms
Abstract
Content arrangement is a strategy for marking regular dialect writings with one or a few classifications from a predefined set. Two calculations, to be specific, bolster vector machine (SVM) and k-closest neighbor (KNN), are utilized to examine Arabic content order (TC). Distinctive Arabic datasets are utilized to analyze the two calculations. This examination has been intended to order extraordinary Arabic content. Result demonstrates that TC by means of the SVM calculation beats TC by means of KNN regarding all measures.
Fields of Study & Subjects
Mycorrhizal Fungi and Plant Interactions
Genomics and Phylogenetic Studies
Plant Pathogens and Fungal Diseases
Publication details
- Journal / source
- International Journal of Engineering & Technology
- Volume
- 7
- Issue
- 3.20
- Pages
- 906–909
- Publication date
- 27 April 2026
- Language
- EN