Title: A Comparative Study of Automatic Text Categorization Methods Using Arabic Text

Year of Publication: 2015
Page Numbers: 73-82
Authors: Ismail Hmeidi, Majd Al-shalabi, Mahmoud Al-Ayyoub
Conference Name: The International Technology Management Conference (ITMC2015)
- Turkey

Abstract:


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.