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Automatic text classification is one of important fields in intelligent information process. Most researchers focus on statistic method (Rocchio, SVM, KNN etc.) which is based on vector space model (VSM) representing text. On the basis of analyzing their disadvantages, a new method -automatic text classification based on background knowledge is proposed in this paper. This method is to simulate the...
It is important to reduce the dimensionality of features in Web Chinese text categorization. Isomap algorithm is an unsupervised manifold learning technique. SIIsomap algorithm, an extension of Isomap to supervised feature extraction, is proposed in this paper. It uses adding constant method and a direct embedding technique of Isomap algorithm for testing data to make the embedding more reasonable...
Style-based text authorship identification extracts features from authorship-known texts, constructs classifier and then identifies disputed texts. Authorship identification belongs to the domain of style classification and is a branch of text classification. In contrast with text classification which deals with the content of texts, authorship identification focuses on the form property of texts...
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