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- W771687543 abstract "As the number of online documents increases enormously with the expansion of information technology, the importance of automatic document classification is greatly enlarged. In this paper, an automatic document classification method is investigated and applied to UseNet 20 newsgroup articles to test its efficacy. The classification system uses Naive Bayes classification algorithm and the experimental result shows that a randomly selected newsgroup arcicle can be classified into its own category over 77% accuracy." @default.
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- W771687543 date "2000-01-01" @default.
- W771687543 modified "2023-09-23" @default.
- W771687543 title "An Automatic Document Classification with Bayesian Learning" @default.
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