An event-extraction approach for business analysis from online Chinese news

doi:10.1016/j.elerap.2018.02.006

CORC > 上海财经大学 > 上海财经大学

	An event-extraction approach for business analysis from online Chinese news
	Han, Songqiao ; Hao, Xiaoling 1; Huang, Hailiang
刊名	ELECTRONIC COMMERCE RESEARCH AND APPLICATIONS
	2018-03-01
卷号	28 页码:244-260
关键词	Business events Business intelligence Chinese text analytics Event extraction Explanatory econometrics Machine learning models Natural language processing Online news Patterns Word embedding
ISSN号	1567-4223
DOI	10.1016/j.elerap.2018.02.006
英文摘要	Extracting events from business news aids users to perceive market trends, be aware of competitors' strategies, and to make valuable investment decisions. Prior research lacks event extraction in the area of business and event based business analysis, especially in Chinese language. We propose a novel business event-extraction approach integrating patterns, machine learning models and word embedding technology in deep learning, which is applied to extract events from online Chinese news. Word embedding and a semantic lexicon are utilized to extend an event trigger dictionary with high accuracy. Then the trigger features in the dictionary are introduced into a machine learning classification algorithm to implement more refined event-type recognition. Based on a scalable pattern tree, the event type that is discovered is used to find the best-suited pattern for extracting event elements from online news. Experimental results show the effectiveness of the proposed approach. In addition, empirical studies demonstrate the practical value of extracted events, especially in finding the relationships between news events and excess returns for stock, and analyzing industry trends based on events in China. (C) 2018 Elsevier B.V. All rights reserved.
WOS研究方向	Business & Economics ; Computer Science
语种	英语
出版者	ELSEVIER SCIENCE BV
WOS记录号	WOS:000428938300022
内容类型	期刊论文
源URL	[http://10.2.47.112/handle/2XS4QKH4/677]
专题	上海财经大学
通讯作者	Hao, Xiaoling
作者单位	1.Shanghai Univ Finance & Econ, Sch Informat Management & Engn, Shanghai, Peoples R China; 2.Shanghai Key Lab Financial Informat Technol, Shanghai, Peoples R China
推荐引用方式 GB/T 7714	Han, Songqiao,Hao, Xiaoling,Huang, Hailiang. An event-extraction approach for business analysis from online Chinese news[J]. ELECTRONIC COMMERCE RESEARCH AND APPLICATIONS,2018,28:244-260.
APA	Han, Songqiao,Hao, Xiaoling,&Huang, Hailiang.(2018).An event-extraction approach for business analysis from online Chinese news.ELECTRONIC COMMERCE RESEARCH AND APPLICATIONS,28,244-260.
MLA	Han, Songqiao,et al."An event-extraction approach for business analysis from online Chinese news".ELECTRONIC COMMERCE RESEARCH AND APPLICATIONS 28(2018):244-260.