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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yunqing Xia Nianxing Ji Weifeng Su Yi Liu |
| Copyright Year | 2010 |
| 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. |
| Starting Page | 17 |
| Ending Page | 23 |
| File Size | 604214 |
| Page Count | 7 |
| File Format | |
| ISBN | 9781424483860 |
| DOI | 10.1109/ICEBE.2010.54 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-11-10 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Context social network Google information extraction Social network services natural language processing commercial relation Clothing Commercial entity Companies Tagging Data mining |
| Content Type | Text |
| Resource Type | Article |
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