Name: Arabic document classification dataset
Description: The dataset contains nine major disciplines: Art, Literature, Religion, Politics, Law, Economy, Sport, Health, and Technology.
Provider: Multiple institutions
Paper Title: On the Impact of Dataset Characteristics on Arabic Document Classification
Tasks: topic classification
Venue Name: International Journal of Computer Applications
Authors: Diab Abuaiadah,Jihad El Sana,Walid Abusalah
Abstract: paper describes the impact of dataset characteristics on the results of Arabic document classification algorithms using TF-IDF representations. The experiments compared different stemmers, different categories and different training set sizes, and found that different dataset characteristics produced widely differing results, in one case attaining a remarkable 99% recall (accuracy). The use of a standard dataset would eliminate this variability and enable researchers to gain comparable knowledge from the published results.