Global Reoccurrence Measure for Keyword Extraction

摘要：

　　We propose a new feature called Global Reoccurrence Measure for extracting keywords from a document.It expresses the characteristic of keywords that they reoccur frequently in local areas,and have wide coverage in a document.Experiments show that the global reoccurrence measure can improve the performance of keyword extraction.We also propose a new metric called extraction quality for performance evaluation of keyword extraction.

关键词： global reoccurrence measure keyword extraction local reoccurrence measure C-value singularity degree measure extraction quality

作者: Wenzhen Chi Yijiang Chen Chang Su Xiaodong Shi

作者单位: School of Information Science and Engineering Xiamen University Xiamen,China

会议类型: 国际会议

会议名称: The 2014 10th International Conference on Natural Computation (ICNC 2014) and the 2014 11th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2014)(第十届自然计算和第十一届模糊系统与知识发现国际会议)

会议地点: 厦门

会议语种:英文

页码: 596-601

在线出版日期: 2014-08-19（万方平台首次上网日期，不代表论文的发表时间）