Title :
Mining Commercial Networks from Online Financial News
Author :
Xia, Yunqing ; Ji, Nianxing ; Su, Weifeng ; Liu, Yi
Author_Institution :
Dept. of Comp. Sci. & Tech., Tsinghua Univ., Beijing, China
Abstract :
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.
Keywords :
data mining; publishing; abbreviation recognition; commercial entities; commercial entity tagging; commercial network construction; commercial networks; commercial relation lexicon; contextual commercial relation mining; coreference resolution; data mining; financial news articles; natural language processing; online financial news; Clothing; Companies; Context; Data mining; Google; Social network services; Tagging; Commercial entity; commercial relation; information extraction; natural language processing; social network;
Conference_Titel :
e-Business Engineering (ICEBE), 2010 IEEE 7th International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-8386-0
Electronic_ISBN :
978-0-7695-4227-0
DOI :
10.1109/ICEBE.2010.54
