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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
ISSN/eISSN1751-7575
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
DOI10.1080/17517575.2011.621093
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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
被引频次:18[WOS]   [WOS记录]     [WOS相关记录]
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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