题名 | A Design for Commonsense Knowledge Enhanced High-Frequency Market Analysis System |
作者 | |
通讯作者 | Chen, Kun |
DOI | |
发表日期 | 2014
|
ISSN | 18761119
|
会议录名称 | |
卷号 | 308
|
页码 | 437-443
|
会议地点 | Zhangjiajie, China
|
出版地 | 233 SPRING STREET, NEW YORK, NY 10013, UNITED STATES
|
出版者 | |
摘要 | To identify the impacts of public news on security market, we propose a common-sense knowledge supported news analysis method, and design a system architecture for the news incorporated market analysis system. The graph model of common-sense knowledge is used to extend the news feature set by a random walk method. News indicators including news sentiment and news relevance are measured by common-sense knowledge supported text mining techniques. Based on these ideas, we develop a prototype system and examine the intra-day market reactions to public news on Hong Kong stock market. Our finds have shown the effectiveness of using common-sense knowledge and news in the market analysis domain. It is our belief that the common-sense knowledge incorporated market analysis system would be great helpful to market surveillance bureaus, traders and investors on the security market. |
关键词 | |
学校署名 | 第一
; 通讯
|
语种 | 英语
|
相关链接 | [来源记录] |
收录类别 | |
WOS研究方向 | Computer Science
|
WOS类目 | Computer Science, Information Systems
; Computer Science, Theory & Methods
|
WOS记录号 | WOS:000342986500062
|
EI入藏号 | 20151100635907
|
EI主题词 | Commerce
; Design
; Systems analysis
|
EI分类号 | Systems Science:961
|
来源库 | Web of Science
|
引用统计 |
被引频次[WOS]:0
|
成果类型 | 会议论文 |
条目标识符 | http://sustech.caswiz.com/handle/2SGJ60CL/25029 |
专题 | 金融数学与金融工程系 商学院_金融系 |
作者单位 | 1.South Univ Sci & Technol, Dept Financial Math & Engn, 1088 Xueyuan Blvd, Shenzhen 518055, Guandong, Peoples R China 2.Univ Hong Kong, Dept Elect & Elect Engn, Hong Hom, Hong Kong, Peoples R China |
第一作者单位 | 金融数学与金融工程系; 金融系 |
通讯作者单位 | 金融数学与金融工程系; 金融系 |
第一作者的第一单位 | 金融数学与金融工程系; 金融系 |
推荐引用方式 GB/T 7714 |
Chen, Kun,Wang, Huaiqing,Yin, Jian,et al. A Design for Commonsense Knowledge Enhanced High-Frequency Market Analysis System[C]. 233 SPRING STREET, NEW YORK, NY 10013, UNITED STATES:SPRINGER,2014:437-443.
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条目包含的文件 | 条目无相关文件。 |
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