Mining Commercial Networks from Online Financial News

摘要：

Financial news articles exhibit sufficient information to disclose commercial entities and their behavior. In this paper, a method for commercial network construction is presented, in which natural language processing techniques are applied in commercial entity tagging and commercial relation mining to handle abbreviation recognition, co-reference resolution and contextual commercial relation mining. Preliminary experiments show our method is encouraging. Another contribution of this work is that some fundamental resources are developed for research on commercial network construction. A commercial entity lexicon is manually compiled to collect active commercial entities and a commercial relation lexicon is created to collect keywords that flag commercial relations. Illustration and applications are also discussed, which undoubtedly discloses a promising future of commercial network study.

关键词： Commercial entity commercial relation information extraction social network natural language processing

作者: Yunqing Xia Nianxing Ji Weifeng Su Yi Liu

作者单位: Dept. of Comp. Sci. & Tech.Tsinghua University Beijing 100084, China Dept. of Comp. Sci. & Tech.HIT Shenzhen Graduate School Shenzhen 518000, China IMSL Shenzhen Key Lab Shenzhen 518000, China

会议类型: 国际会议

会议名称: 2010 IEEE International Conference on e-Business Engineering(2010年电子商务工程国际研讨会 ICEBE 2010)

会议地点: 上海

会议语种:英文

页码: 17-23

在线出版日期: 2010-11-10（万方平台首次上网日期，不代表论文的发表时间）