基于数据挖掘的文本人物结构以及事件专题研究  

Personage Structures and Event Topic Research Based on Data Mining

作　　者：李娜[1] 李瑞芳[1] 孙健[1] 

机构地区：[1]沈阳化工学院计算机科学与技术学院,辽宁沈阳110142

出　　处：《沈阳化工学院学报》2008年第3期260-264,共5页Journal of Shenyang Institute of Chemical Technolgy

摘　　要：利用数据挖掘技术对文本人物结构以及事件专题进行信息挖掘.提出一种基于树结构的人物结构挖掘算法,构建一种按照自顶向下的层次等级分布的人物结构图,给出一种查找核心成员的算法.针对文本中事件专题挖掘,提出事件模型学习算法.以《红楼梦》为实例验证人物结构以及事件专题的文本挖掘,结果证明该方法可行.To use the data mining technology for the text personage structure and event topic,an algorithm for structure mining of personage based on the tree structure was proposed, and a personage structural was drawn by the grade from top to end. The algorithm was called a search kernel structure. For text-mining method of event topic, the method of event model was also proposed. Taken ＂A Dream of Red Mansions＂ as the example, the results show that the method is feasible.

关 键 词：数据挖掘 树结构 事件模型 

分 类 号：TP3-05[自动化与计算机技术—计算机科学与技术]