本文研究文本的自动分类算法。
This paper mainly focus on the text classification algorithms.
文章研究并改进了文本自动分类中的特征权重算法。
This article aims to improve the algorithm of term weighting in automated text classification.
本文利用前向神经网络的交叉覆盖算法，通过对文本进行分词的预处理后，实现文本的自动分类。
Based on the Crossing Cover Algorithm of forward neural network, this paper realizes the automatic classification of texts after the preprocessing of the texts.
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