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To more advance classification accuracy of English texts, naive Bayes method based on base noun phrase (BaseNP) identification is presented. The rising maximum entropy model is applied to the identification. Firstly, use training corpus and user-defined feature templates to generate candidate features. Secondly, the feature selection algorithm computing feature gains is applied to select features...
To overcome the limitations of traditional text classification approaches based on bag-of-words representation and to effectively incorporate linguistic knowledge and conceptual index into text vector space representation, based on WordNet thesaurus and latent semantic indexing (LSI) model, combinative method of them is presented to realize naive Bayes text classification and simple vector distance...
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