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Text Document Classification Using a Multinomial Naive Bayes Model

This uses a Multinomial Naive Bayes (MNB) model for text document classification. It also performs feature selection on the vocabulary to determine information gain to reduce the training and test times of the MNB classifier without significantly affecting its accuracy.

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Text Document Classification Using a Multinomial Naive Bayes Model

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