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 Naïve Bayes Classifier to the problem of document categorization of Arabic language Our experimental study shows that using FA algorithm with Naïve 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; Naïve Bayes theorem
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