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Text Classification is the process of classifying documents into predefined classes based on its content. Text classification is important in many web applications like document indexing, document organization, spam filtering etc. In this paper, the authors analyze the concept of a new classification model which will classify Mobile SMS into predefined classes such as jokes, shayri, festival etc. All sms are converted into text documents. After preprocessing vector space model is prepared and weight is assigned to each term. In the proposed model they have used entropy term weighting scheme and then PCA is used for reparameterization. Artificial Neural Network is used for classification.
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