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Current search engines are not very effective in filtering out harmful information since the technology they use for filtering is often based on traditional text classification in which texts are often classified according to feature words. To improve the effectiveness of filtering, in this paper, we propose a new filtering scheme in which we combine the neural network and ontology categorization...
Text classification is becoming one of the key techniques in organizing and handling a large amount of text data. In this paper, a combination of ontology with statistical method is presented to improve the precision of text classification. In this study, first, different kind of linguistic ontology knowledge will be respectively acquired by learning training corpus to determine text classifiers....
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