Research on text classification based on SVM-KNN

Yun Lin, Jie Wang
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引用次数: 30

Abstract

A new text classification algorithm has been put forward based on basic support vector machine algorithm. The SVM-KNN algorithm for text classification has been proposed which combined SVM algorithm and KNN algorithm. The SVM-KNN algorithm can improve the performance of classifier by the feedback and improvement of classifying prediction probability. The actual effect of SVM-KNN algorithm is tested and the performance is proved in related Chinese web page classification test system.
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基于SVM-KNN的文本分类研究
基于基本支持向量机算法,提出了一种新的文本分类算法。将SVM算法与KNN算法相结合,提出了基于SVM-KNN算法的文本分类算法。SVM-KNN算法通过对分类预测概率的反馈和改进来提高分类器的性能。在相关的中文网页分类测试系统中对SVM-KNN算法的实际效果进行了测试,并对其性能进行了验证。
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