Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/8529
Title: FIDS : an intelligent financial web news articles digest system
Authors: Lam, W
Ho, KS
Keywords: Classification
Text summarization
Web financial news
Issue Date: 2001
Publisher: Institute of Electrical and Electronics Engineers
Source: IEEE transactions on systems, man, and cybernetics. Part A, Systems and humans, 2001, v. 31, no. 6, p. 753-762 How to cite?
Journal: IEEE transactions on systems, man, and cybernetics. Part A, Systems and humans 
Abstract: 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.
URI: http://hdl.handle.net/10397/8529
ISSN: 1083-4427
EISSN: 1083-4419
DOI: 10.1109/3468.983433
Appears in Collections:Journal/Magazine Article

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