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一种结合云模型的文本分类方法

张玉芳 谢娟 熊忠阳

计算机工程与应用Issue(15):117-119,124,4.
计算机工程与应用Issue(15):117-119,124,4.DOI:10.3778/j.issn.1002-8331.1208-0234

一种结合云模型的文本分类方法

Text classification approach with cloud model

张玉芳 1谢娟 1熊忠阳1

作者信息

  • 1. 重庆大学 计算机学院,重庆 400044
  • 折叠

摘要

Abstract

In order to reduce the influences of the uncertainty in natural language to the traditional text classification method, this paper puts forward a new text classification method combining with cloud model, which defines cloud model of document and category, through computing the cloud similarity between test document and each category. The test text is assigned to a category based on maximum similarity principle. To sum up, experimental results show that the classifica-tion accuracy has improved by using this method, compared with the K-NN.

关键词

文本分类/云模型/云相似度

Key words

text classification/cloud model/cloud similarity

分类

信息技术与安全科学

引用本文复制引用

张玉芳,谢娟,熊忠阳..一种结合云模型的文本分类方法[J].计算机工程与应用,2014,(15):117-119,124,4.

计算机工程与应用

OA北大核心CSCDCSTPCD

1002-8331

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