FIDS: an intelligent financial Web news articles digest system

Authors:
Wai Lam;Kei Shiu Ho
Affiliations:
Dept. of Syst. Eng. & Eng. Manage., Chinese Univ. of Hong Kong, Shatin;-
Venue:
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Year:
2001

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Abstract

In this paper, we present a system called FIDS (Financial Information Digest System), which can digest online financial news automatically. Compared to 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 one 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