Work

Categorization Arabic Text Using SVM and KNN Algorithms

Year: 2026

Type: article

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.

Source: International Journal of Engineering & Technology

DOI: 10.14419/ijet.v7i3.20.28415

Authors: Geehan Sabah Hassan, . .

Language: English

Topic: Text and Document Classification Technologies

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

OpenAlex ID: W6942371572

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