Keyphrases Extraction Research Based on Structure of Document

摘要：

Keyphrase is the foundation of text categorization,automatic summary and information retrieval,so the research of automatic keyphrase extraction has important significance.The current keyphrase extraction methods dont take full advantage of the structural features of the document,too much emphasis on the importance of term frequency,which result in the low accuracy of keyphrase extraction.According to these,the paper proposed a keyphrase extraction method based on structure features of the document.It combined with term frequency,location and length information to automatically extract keyphrases.

关键词： keyphrases extractor! term weight frequency factor location factor

作者: Huan Huang Hong Wang

作者单位: National Engineering Research Center for E-Learning HuaZhong Normal University Wuhan.Hubei.P.R.China

会议类型: 国际会议

会议名称: 2010 2nd International Conference on Education Technology and Computer(第二届IEEE教育技术与计算机国际会议 ICETC 2010)

会议地点: 上海

会议语种:英文

页码: 180-183

在线出版日期: 2010-06-22（万方平台首次上网日期，不代表论文的发表时间）