期刊名称：International Journal of Soft Computing & Engineering
电子版ISSN：2231-2307
出版年度：2011
卷号：1
期号：1
页码：47-49
出版社：International Journal of Soft Computing & Engineering
摘要：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 we 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 we have used entropy term weighting scheme and then PCA is used for reparameterization. Artificial Neural Network is used for classification.
关键词：Text Classification; Short messaging service;(sms); feature selection; Principal Component Analysis; Neural;Network.
