覆盖算法在文本分类中的应用

Application of Cover Algorithm in 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。应用该算法对语料库中的文本进行实验,从实验结果来看,该算法在运行时间和精度上都取得了令人满意的结果。

Based on the Crossing Cover Algorithm of forward neural network, this paper realizes the automatic classification of texts after the preprocessing of the texts. Then the paper applies this algorithm to the texts of the corpus, and obtains satisfactory results in running time and accuracy.