Abstract: Arabic content on the internet has increased over the web because of the growth of the number of Arabic persons who use the internet in the world. Accordingly, this study introduces an automatic approach of domain extraction of information retrieval from these contents based on text classification. Text classification process makes the searching domain specific to facilitate the searching process. This paper discusses how to enhance the capacity of information retrieval in Arabic documents by classifying the unlabelled Arabic text automatically by using text classification algorithms. The classification of documents and texts is an important field in computer science and information retrieval. It aims at enhancing the retrieval process by identifying the searching-domain of retrieval systems.

Mohammad Khaled A. Al-Maghasbeh and Mohd Pouzi bin Hamzah, “A Method of Automatic Domain Extraction of Text to Facilitate Retrieval of Arabic Documents” International Journal of Advanced Computer Science and Applications(IJACSA), 9(8), 2018. http://dx.doi.org/10.14569/IJACSA.2018.090829

@article{Al-Maghasbeh2018,
title = {A Method of Automatic Domain Extraction of Text to Facilitate Retrieval of Arabic Documents},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2018.090829},
url = {http://dx.doi.org/10.14569/IJACSA.2018.090829},
year = {2018},
publisher = {The Science and Information Organization},
volume = {9},
number = {8},
author = {Mohammad Khaled A. Al-Maghasbeh and Mohd Pouzi bin Hamzah}
}