Arabic Text Classification Using Convolutional Neural Network and Genetic Algorithms

Arabic documents are massively rising due to numerous contents utilized in websites, social media, and news articles. The classification of such labelled categories is a significant vital task that deserves more attention. Text Classification an emerging research theme Natural Language Processing. Recently, Deep Neural Network approaches have successfully been applied many text problems, especially English Classification. Convolutional (CNN) one the best popular models. However, CNN not highly In addition, recent studies did achieve high accuracy parameter setting issue. To overcome this limitation, new hybrid model for developed. This paper proposes Genetic Algorithms based Algorithm used optimize parameters. proposed tested using two large datasets compared with state-of-the art studies. results showed achieved improvement 4 5%.