Abstract
Nowadays, online financial news from different sources is widely available on the Internet and there exists systems to help investors extracting and analyzing the financial news. However, many of these systems present news articles in a way without categorization and do not provide enough query options to search or get the specific aspect of news that they want. In this paper, we extend our previous work to develop an intelligent agent-based system for multi-lingual news extraction. We adopt a document categorization 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 worked as a searching interface for document browsing. Experimental results show that the proposed Categorize News Agent is capable of categorizing news documents with a reasonable rate of accuracy.
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References
Bezdek, J.C.: Pattern recognition with fuzzy objective function algorithm. Plenum Press, New York (1981)
Junker, M., Hoch, R., Dengle, A.: On the Evaluation of Document Analysis Components by Recall, Precision and Accuracy. In: International Conference on Document Analysis and Recognition, pp. 713–716 (1999)
Lim, S.J., Ng, Y.K.: Categorizing and Extracting Information from Multilingual HTML Documents. In: International Database Engineering and Application Symposium, pp. 415–422 (2005)
Liu, J.N.K., Dai, H.H., Zhou, L.: Intelligent Financial News Digest System. In: Khosla, R., Howlett, R.J., Jain, L.C. (eds.) KES 2005. LNCS (LNAI), vol. 3683, pp. 112–120. Springer, Heidelberg (2005)
Liu, J.N.K., Luo, W.D., Chan, E.M.C.: Design and Implement a Web News Retrieval System. In: Khosla, R., Howlett, R.J., Jain, L.C. (eds.) KES 2005. LNCS (LNAI), vol. 3683, pp. 149–156. Springer, Heidelberg (2005)
Middleton, S.E., Shadbolt, N.R., Roure, D.C.: Ontological user profiling in recommender systems. ACM Trans. Information Systems 22(1), 54–88 (2004)
Mukherjee, S., Yang, G.Z., Tan, W.F., Ramakrishnan, I.V.: Automatic Discovery of Semantic Structures in HTML Documents. In: International Conference on Document Analysis and Recognition, pp. 245–249 (2003)
Salton, G.: Automatic Text Processing: The Transformation, Analysis, and Retrieval of Information by Computer. Addison-Wesley, Reading (1989)
Salton, G., Buckley, C.: Term-weighting approaches in Automatic Text Retrieval. Information Processing and Management 24(5), 513–523 (1988)
Yang, Y.M.: A study on thresholding strategies for text categorization. In: ACM SIGIR Conference on Research and Development in Information Retrieval (2001)
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Liu, J.N.K., Ho, M.K. (2008). An Intelligent Agent-Based System for Multilingual Financial News Digest. In: Nguyen, N.T., Jo, G.S., Howlett, R.J., Jain, L.C. (eds) Agent and Multi-Agent Systems: Technologies and Applications. KES-AMSTA 2008. Lecture Notes in Computer Science(), vol 4953. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-78582-8_83
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DOI: https://doi.org/10.1007/978-3-540-78582-8_83
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-78581-1
Online ISBN: 978-3-540-78582-8
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