Paper Info
Title
An intelligent agent-based system for multilingual financial news digest
Abstract
Online financial news from different sources is widely available on the internet. There are systems available to help investors extract and analyse the financial news from these sources but many of these systems present news articles without categorisation and do not provide enough query options to accurately yet comprehensively search for news. In this paper, we extend our previous work to develop an intelligent agent-based system for multilingual news extraction. We adopt a document categorisation approach based on fuzzy keyword classification. The system applies fuzzy clustering to obtain a classification of keywords by concepts of the category. A category profile is developed and used as a search interface for document browsing. Experimental results show that the proposed categorise news agent is capable of categorising news documents with a reasonable rate of accuracy and the grouping news agent is able to assemble news groups of similar contents to facilitate information retrieval.
Year
DOI
Venue
2010
10.1504/IJIIDS.2010.035580
Agent and Multi-Agent Systems: Technologies and Applications
Keywords
Field
DocType
online financial news,systems present news article,financial news,categorising news document,multilingual financial news,news group,intelligent agent-based system,comprehensively search,category profile,proposed categorise news agent,multilingual news extraction,grouping news agent,intelligent agents,fuzzy clustering,information retrieval,internet,intelligent agent,fuzzy classification,multi agent systems
Data mining,Fuzzy clustering,Content analysis,Intelligent agent,World Wide Web,Fuzzy classification,Computer science,Fuzzy logic,Multi-agent system,News analytics,The Internet
Journal
Volume
Issue
ISSN
4
4
0302-9743
ISBN
Citations 
PageRank 
3-540-78581-7
0
0.34
References 
Authors
15
2
Name
Order
Citations
PageRank
James N. K. Liu152944.35
M. K. Ho200.34