中文文本分类反馈学习研究

本文依据反馈学习的思想和支持向量机分类算法,在分析中文文本分类过程的基础上,给出了基于反馈学习的中文文本分类模型,通过实验研究了反馈学习对中文文本分类模型性能的影响。结果表明,反馈学习对分类性能的提高有明显作用,它是对实时变化信息的有效解决方法。

According to the thinking of feedback learning and the categorization algorithm of Support Vector Machine （SVM）, and based on the analysis of the Chinese text categorization process, this paper proposes a model of Chinese text categorization based on feedback learning. The paper studies the impact of feedback learning on the performance of the Chinese text categorization model through experiments. The result shows the feedback learning can greatly improve the categorization performance of SVM and is an effective solution to the real-time change of information.