A Comparative Study of Automatic Text Categorization Methods Using Arabic Text
Ismail Hmeidi, Mahmoud Al-Ayyoub Majd Al-shalabi · 2015
There are several researches and procedures for classifying Arabiclanguage texts that are based mostly on different environments. This lack of dependence on a unified standard (such as a unified dataset) makes it hard to determine the most accurate technique for classification. In this paper, we study and analyze the classification algorithms based on a unified environment and a different dataset with the included challenges faced by these algorithms to demonstrate their effectiveness and accuracy with a large dataset.