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一种改进的基于共现关系的短文本特征扩展算法研究

王细薇 张凯

河南城建学院学报2012,Vol.21Issue(4):48-50,3.
河南城建学院学报2012,Vol.21Issue(4):48-50,3.

一种改进的基于共现关系的短文本特征扩展算法研究

Improved expansion algorithm based on co-occurrence relationship between short text feature

王细薇 1张凯1

作者信息

  • 1. 河南城建学院,河南平顶山467036
  • 折叠

摘要

Abstract

In this paper, an improved expansion algorithm based on co-occurrence relationship between short text feature is proposed aimed at not ideal situation for a single co-occurrence word feature expansion. The im- provement is that we considered more than a total of the current words at the same time and improved features of the word weight calculation formula and characteristics of expansion strategy, and applied to the Chinese short-text classification, which has improved classification accuracy.

关键词

共现关系/特征扩展/短文本分类

Key words

co-occurrence relationship/features extension/short text classification

分类

信息技术与安全科学

引用本文复制引用

王细薇,张凯..一种改进的基于共现关系的短文本特征扩展算法研究[J].河南城建学院学报,2012,21(4):48-50,3.

河南城建学院学报

1674-7046

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