发表状态 | 已发表Published |
题名 | Discovering latent commercial networks from online financial news articles |
作者 | |
发表日期 | 2013 |
发表期刊 | Enterprise Information Systems
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ISSN/eISSN | 1751-7575 |
卷号 | 7期号:3页码:303-331 |
摘要 | Unlike most online social networks where explicit links among individual users are defined, the relations among commercial entities (e.g. firms) may not be explicitly declared in commercial Web sites. One main contribution of this article is the development of a novel computational model for the discovery of the latent relations among commercial entities from online financial news. More specifically, a CRF model which can exploit both structural and contextual features is applied to commercial entity recognition. In addition, a point-wise mutual information (PMI)-based unsupervised learning method is developed for commercial relation identification. To evaluate the effectiveness of the proposed computational methods, a prototype system called CoNet has been developed. Based on the financial news articles crawled from Google finance, the CoNet system achieves average F-scores of 0.681 and 0.754 in commercial entity recognition and commercial relation identification, respectively. Our experimental results confirm that the proposed shallow natural language processing methods are effective for the discovery of latent commercial networks from online financial news. © 2013 Copyright Taylor and Francis Group, LLC. |
关键词 | commercial entity recognition commercial networks commercial relation identification natural language processing text mining |
DOI | 10.1080/17517575.2011.621093 |
URL | 查看来源 |
收录类别 | SCIE |
语种 | 英语English |
WOS研究方向 | Computer Science |
WOS类目 | Computer Science, Information Systems |
WOS记录号 | WOS:000322866000003 |
Scopus入藏号 | 2-s2.0-84882590488 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | https://repository.uic.edu.cn/handle/39GCC9TT/6540 |
专题 | 理工科技学院 |
通讯作者 | Xia, Yunqing |
作者单位 | 1.Department of Computer Science and Technology,Tsinghua University,Beijing,100084,China 2.Division of Science and Technology,BNU-HKBU United International College,Zhuhai, 519085,China 3.Department of Information Systems,City University of Hong Kong,Hong Kong,China |
推荐引用方式 GB/T 7714 | Xia, Yunqing,Su, Weifeng,Lau, Raymond Y.K.et al. Discovering latent commercial networks from online financial news articles[J]. Enterprise Information Systems, 2013, 7(3): 303-331. |
APA | Xia, Yunqing, Su, Weifeng, Lau, Raymond Y.K., & Liu, Yi. (2013). Discovering latent commercial networks from online financial news articles. Enterprise Information Systems, 7(3), 303-331. |
MLA | Xia, Yunqing,et al."Discovering latent commercial networks from online financial news articles". Enterprise Information Systems 7.3(2013): 303-331. |
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