@inproceedings{67fd7945301a49228ee52cd67a4728e3,
title = "Arabic text classification using bag-of-concepts representation",
abstract = "With the exponential growth of Arabic text in digital form, the need for efficient organization, navigation and browsing of large amounts of documents in Arabic has increased. Text Classification (TC) is one of the important subfields of data mining. The Bag-of-Words (BOW) representation model, which is the traditional way to represent text for TC, only takes into account the frequency of term occurrence within a document. Therefore, it ignores important semantic relationships between terms and treats synonymous words independently. In order to address this problem, this paper describes the application of a Bag-of- Concepts (BOC) text representation model for Arabic text. The proposed model is based on utilizing the Arabic Wikipedia as a knowledge base for concept detection. The BOC model is used to generate a Vector Space Model, which in turn is fed into a classifier to categorize a collection of Arabic text documents. Two different machine-learning based classifiers have been deployed to evaluate the effectiveness of the proposed model in comparison to the traditional BOW model. The results of our experiment show that the proposed BOC model achieves an improved performance with respect to BOW in terms of classification accuracy.",
keywords = "Arabic text, Automatic text classification, Bag-of-concepts, Bag-of-words, Wikipedia",
author = "Alaa Alahmadi and Arash Joorabchi and Mahdi, {Abdulhussain E.}",
note = "Publisher Copyright: Copyright {\textcopyright} 2014 SCITEPRESS - Science and Technology Publications All rights reserved.; 6th International Conference on Knowledge Discovery and Information Retrieval, KDIR 2014 ; Conference date: 21-10-2014 Through 24-10-2014",
year = "2014",
doi = "10.5220/0005138103740380",
language = "English",
series = "KDIR 2014 - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval",
publisher = "INSTICC Press",
pages = "374--380",
editor = "Ana Fred and Joaquim Filipe and Joaquim Filipe",
booktitle = "KDIR 2014 - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval",
}