An effective approach for Arabic document classification using machine learning

• DOI: 10.1016/j.gltp.2022.03.003
• Publication Date: 2022-04-02T23:51:39Z
• Authors: Abdullah Y. Muaad; G. Hemantha Kumar; J. Hanumanthappa; J.V. Bibal Benifa; M. Naveen Mourya; Channabasava Chola; M. Pramodha; R. Bhairava
• Keywords: Stochastic Gradient Descent

Arabic text classification is one application of Natural Language Processing (NLP). It has been used to analyze and categorize text. Analyzing become an essential part our lives because the increasing number data which makes a big problem. systems significant maintain vital information in many domains such as education, health sector, public services. In presented research work, model developed using various algorithms namely Multinomial Naïve Bayesian (MNB), Bernoulli (BNB), Stochastic Gradient Descent (SGD), Logistic Regression (LR), Support vector classifier (SVC), Linear SVC, convolutional neural networks (CNN). These have implemented utilizing Al-Khaleej dataset. The experiments are carried out with representation models it observed that CNN character level outperforms others. result exceeds state-of-the-art machine learning method accuracy equal 98. methods will be useful different domains, particularly on social media.