节点文献
共现分析在文本知识挖掘中的应用研究
Application of Co-Occurrence Analysis in Text Knowledge Mining
【摘要】 共现分析是将各种信息载体中的共现信息定量化的分析方法,是支撑知识挖掘和知识服务的重要手段和工具。能够体现信息的内容特征和外表特征共同构成了文本知识关联揭示和知识挖掘的基础。探索了共现分析方法在基于空间分析、时间分布和内外关联映射的文本知识挖掘中的应用。图8。参考文献13。
【Abstract】 Co-occurrence analysis is a quantitative analysis method of co-occurrence in various information media,and is an important tool to support knowledge services and knowledge mining.The content characteristics and outer characteristics representing information comprise the basis for the revelation of text knowledge correlation and knowledge mining.The authors also discuss the application of co-occurrence analysis in text knowledge mining based on space distribution,time distribution and integrated mapping of outer and inner information.8 figs.13 refs.
【关键词】 文本挖掘;
共现分析;
空间分布;
时间分布;
内外关联映射;
【Key words】 Text mining; Co-occurrence analysis; Space distribution; Time distribution; Integrated mapping of outer and inner information;
【Key words】 Text mining; Co-occurrence analysis; Space distribution; Time distribution; Integrated mapping of outer and inner information;
【基金】 2006年度国家社会科学基金项目“图书情报领域知识服务的体系架构和服务能力评价研究”(项目编号06BTQ027)的研究成果。
- 【文献出处】 中国图书馆学报 ,Journal of Library Science In China , 编辑部邮箱 ,2007年02期
- 【分类号】TP311.13;TP182
- 【被引频次】76
- 【下载频次】1291