基于图挖掘的文本主题识别方法研究综述

被引：14

作者：

郭红梅

张智雄

机构：

[1] 中国科学院文献情报中心

来源：

中国图书馆学报 | 2015年 / 41卷 / 06期

关键词：

文本主题识别; 图挖掘; 中心度; Clique子团;

D O I：

10.13530/j.cnki.jlis.156008

中图分类号：

G254 [文献标引与编目];

学科分类号：

摘要：

本文通过文献调研分析,将基于图挖掘的文本主题识别方法总结为中心度方法、紧密关联子图查找和图聚类三种,后两者又细分为基于clique子团或类clique子团、基于图拓扑结构或结点属性聚类的方法。中心度方法通过对比文本网络中术语结点的重要度来实现文本主题的识别,紧密关联子图查找和图聚类方法则是根据文本图中术语结点和边的属性相似度来识别文本核心主题。基于语言文本网络自身特性,如何构建复杂文本关系图来同时揭示术语间的句法、共现和语义关系,如何基于术语关联和图拓扑结构识别其中的紧密关联子团,基于何种标准将紧密关联子团聚类以揭示文本核心主题,都是未来需要进一步深入研究的问题。

引用

页码：97 / 108

页数：12

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