Do Words with Certain Part of Speech Tags Improve the Performance of Arabic Text Classification?
Published in 2nd International Conference on Information System and Data Mining (ICISDM ’18), 2018
Investigation of the performance of Arabic text classification when Part of Speech (POS) tagging information is used to extract features suggests that the words achieved the best classification performance when the number of features was low; however, the classification performance can be marginally increased when nouns, verbs, and adjectives are used as features, given that the number of features is increased.
Recommended citation: Al-Thubaity, A.O., Alqarni, A., & Alnafessah, A. (2018). Do Words with Certain Part of Speech Tags Improve the Performance of Arabic Text Classification? International Conference on Information System and Data Mining. http://aaalqarni.github.io/files/Paper_1.pdf