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Text classification has been considered as a hot research area in data mining. This paper presents a new approach combining hidden Markov model (HMM) with support vector machine (SVM) for text classification. HMMs are used to as a feature extractor and then a new feature vector is normalized as the input of SVMs, so the trained SVMs can classify unknown texts successfully. The experimental results...
Text classification is the process of automatically assigning predefined categories to free text, which is very important to information retrieval and many other applications. Of it, the first important thing is to effectively represent a text to characterize it as belonging to a specified category based on its content and thus make the following phase of classifier training and using more effective...
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