摘要
目前,文本挖掘的研究已经成为热点领域,并在人们的日常生活和决策分析过程中起到了越来越重要的作用。本文总结了文本挖掘的概念和基本特征,并在此基础上重点研究了基于文档集的文本挖掘模型。结合现有的一些知识表达概念和挖掘算法,设计出一种新的文本挖掘模型。通过实例验证表明,该模型在查准率和查全率方面都优于一般的文本挖掘模型,对于提高挖掘效率具有十分重要的意义。
At present,the research of text mining has become a hot field.It has played more and more important role in people’s daily life and decision analysis process.The paper summarizes the concepts and basic characteristics of text mining,and research the mining model based on the text of the document set and focus on this basis.Combined with existing knowledge representation concepts and mining algorithm,this paper devises a new text mining model.At last,it is verified by examples to show that this model is better in the precision and recall rate than the general text mining model.And it has a very important significance to improve efficiency of mining text.
出处
《测绘与空间地理信息》
2013年第5期48-50,共3页
Geomatics & Spatial Information Technology
基金
国家863项目--大规模复杂地理空间数据可视化与自适应制图技术研究(2012AA12A404)资助
