An intelligent agent-based system for multilingual financial news digest Online publication date: Thu, 30-Sep-2010
by James N.K. Liu, M.K. Ho
International Journal of Intelligent Information and Database Systems (IJIIDS), Vol. 4, No. 4, 2010
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.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Intelligent Information and Database Systems (IJIIDS):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com
Our Blog 
Follow us on Twitter 
Visit us on Facebook