| 含附件文本的分类算法研究 |
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| 引用本文： | 王亚民,刘洋.含附件文本的分类算法研究[J].情报杂志,2012,31(8):161-165. |
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| 作者姓名： | 王亚民 刘洋 |
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| 作者单位： | 西安电子科技大学经济管理学院 西安710071 |
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| 摘 要： | 针对含附件文本利用率低的缺陷,为了提升附件文本分类的查全率和查准率,从两个不同角度分别提出了基于密度的BP神经网络附件文本分类算法,对组织中带有附件的文本分类进行改进.实验表明,算法在一定程度上提高了含附件文本的利用率.
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| 关 键 词： | 附件 文本分类 密度 网格 超球 BP神经网络 |
On the Classification Algorithm of Text Containing the Attachment |
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| WANG Yamin
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LIU Yang.On the Classification Algorithm of Text Containing the Attachment[J].Journal of Information,2012,31(8):161-165. |
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| Authors: | WANG Yamin LIU Yang |
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| Institution: | (School of Economics and Management,Xidian University,Xi’an 710071) |
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| Abstract: | Focusing on the low material utilization rate of the text containing attachment,to improve the recall and precision of attachment text classification,a density-based BP neural network algorithm for text classification attachments is proposed from two different perspectives.Improvement is made in organizations of their classification of text with attachment and experimental results show the effectiveness of the proposed algorithm in improving the utilization of attachment text. |
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| Keywords: | attachment text classification density grid hyper ball BP neural network |
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