An Effective Dimension Reduction Approach to Chinese Document Classification Using Genetic Algorithm
ISNN 2009 Proceedings of the 6th International Symposium on Neural Networks: Advances in Neural Networks - Part II
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Two approaches to text classification based on summarization technique are proposed: in the first approach, the heuristic rules of auto-summarization are used to select and weight features for every category, and texts are classified by these features; in the second approach, the text summarization is directly used for classification instead of the original text. Experimental results show that the combination of summarization technology and classification technology can not only reduce the time of feature selection and classification but also improve the performance of text classification.