期刊名称：International Journal of Computer Science Issues
印刷版ISSN：1694-0784
电子版ISSN：1694-0814
出版年度：2011
卷号：8
期号：3
出版社：IJCSI Press
摘要：Document classification aims to assign a document to one or more categories based on its contents. This paper suggests the use of Field association (FA) words algorithm with Na�ve Bayes Classifier to the problem of document categorization of Arabic language Our experimental study shows that using FA algorithm with Na�ve Bayes (NB) Classifier gives the ~ 79% average accuracy and, using compound FA words with NB classifier gives ~ 89% average accuracy of the training documents.
关键词：Field association words; compound Field association words; Arabic Information retrieval; precision; recall; F-measure; Na�ve Bayes theorem
