FIDS: An intelligent financial web news articles digest system

被引：15

作者：

Lam, W ^{[1
]}

Ho, KS

机构：

[1] Chinese Univ Hong Kong, Dept Syst Engn & Engn Management, Shatin, Hong Kong, Peoples R China

[2] Hong Kong Polytech Univ, Dept Comp, Hong Kong, Hong Kong, Peoples R China

来源：

IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART A-SYSTEMS AND HUMANS | 2001年 / 31卷 / 06期

关键词：

classification; text summarization; web financial news;

D O I：

10.1109/3468.983433

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, we present a system, called FIDS (Financial Information Digest System), which can digest online financial news automatically. Compared to the previous approaches, FIDS is unique in the way that it can understand news articles in different domains simultaneously. These domains are all concerned with financial news. The system is able to integrate the information from different articles by conducting automatic content-based classification and information item extraction. Moreover, it allows us to perform cross-validation on their contents. As a result, users can have access to more complete information which otherwise would be scattered in different articles.

引用

页码：753 / 762

页数：10

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