Arabic Text Classification: A Review Study on Feature Selection Methods

The list of features and text representation model that is utilized are critical components that determine the performance and accuracy of text categorization. Feature selection is a technique for improving classification accuracy and processing efficiency by removing redundant or superfluous words (features) and keeping only those that give vital information that assists in categorization. This paper presents the recent researches that studied the impact of feature selection methods on Arabic text classification.