The comparison studies on the algorithm of KNN and SVM for chinese text classification
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Chinese text classification is important for chinese intelligent information management, such as chinese information retrieval and search engine.A lot of algorithms can be used for Chinese text classification,such as KNN,Bayes and SVM etc.The paper has analyzed and compared the KNN and SVM algorithm.And the effect of the two algorithms on Chinese text classification was got by the experiments.The results indicated that the SVM algorithm was better than the KNN algorithm,which proved that the SVM algorithm was one excellent chinese text classification algorithm.