Abstract
We present an agent-based system Intelligent Financial News Digest System (IFNDS) for analyzing online financial news articles and associated material. The system can abstract, synthesize, digest, and classify the contents, and assesses whether the report is favorable to any company discussed in the reports. It integrates artificial intelligence technologies including traditional information retrieval and extraction techniques for the news analysis. It makes use of keyword statistics and backpropagation training data to identify companies named in reportage whether it is, evaluatively speaking, positive, negative or neutral. The system would be of use to media such as clipping services, media management, advertising, public relations, public interest, and e-commerce professionals and government non-governmental bodies interested in monitoring the media profiles of corporations, products, and issues.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
http://learn.tsinghua.edu.cn/homepage/2001315450/wordnet.html
Java Servlet 2.1, http://java.sun.com/products/servlet/2.1/
Costantino, M.: IE-Expert: Integrating natural language processing and expert system techniques for real-time equity derivatives trading. Journal of Computational Intelligence in Finance 7(2), 34–52 (1999)
Dai, H., Wang, J.: WWW mining and intelligent Internet decision aid. In: International Conference on Modelling and Simulation, IASTED, Canada (2000)
Finkeistein-Landau, M., Morin, E.: Extracting semantic relationships between terms: Supervised vs. unsupervised methods. In: Proceedings of International Workshop on Ontological Engineering on the Global Information Infrastructure, Dagstuhi Castle, Germany, May 1999, pp. 71–80 (1999)
Li, H., Cao, Y., Li, C.: Using bilingual Web data to mine and rank translations. IEEE Intelligence Systems 18(4), 54–59 (2003)
van Halteren, H.: New feature sets for summarization by sentence extraction. IEEE Intelligence Systems 18(4), 34–42 (2003)
Pauls, Jacobs, Rau, L.F.: SCISOR: Extracting Information from online News. CACM 33(11), 88–97 (1990)
Kim, J.-T., Moldovan, D.I.: Acquisition of Semantic Patterns for Information Extraction from Corpora. IEEE, Los Alamitos (1993)
Lam, W., Ho, K.S.: FIDS: An Intelligent Financial Web News Articles Digest System. IEEE Trans. On SMC 31(6) (2001)
Li, W., Wong, K., Yuan, C.: A design of temporal event extraction from Chinese financial news. International Journal of Computer and Chinese Language Computer Society 16(1), 21–39 (2003)
Liu, James, N.K., Kwong, Raymond, W.M., You, J.: Towards an intelligent Web-based agent system (iWAF) for e-finance application. In: Proceedings of the IASTED International Conference on Artificial and Computational Intelligence, Tokyo, Japan, September 25-27, pp. 18–23 (2002)
Liu, J., Zhou, L., Wu, Y.: A hybrid method for abstracting newspaper articles. Journal of the American Society for Information Science 50(13), 1234–1245 (1999)
Molla, D., Schwitter, R., Rinaldi, F., Dowdall, J., Hess, M.: ExtrAns: Extracting answers from technical texts. IEEE Intelligence Systems 18(4), 12–17 (2003)
Rau, L.F.: Conceptual Information Extraction from Financial News. IEEE TH0213-9/88 (1988)
Wilks, Y.: Information extraction: Techniques and challenges. In: Pazienza, M.T. (ed.) SCIE 1997. LNCS, vol. 1299, pp. 10–27. Springer, Heidelberg (1997)
Wu, Y., Liu, N.K.J., Wang, K.Z.: An approach towards English automatic abstraction. Journal of Computational Linguistics and Chinese Language Processing 4(1), 85–102 (1999)
Zhou, L., Zhang, D.: NLPIR: A framework for natural language processing in information retrieval. Journal of the American Society for Information Science and Technology 54(2), 115–123 (2002)
Zhou, L., Liu, J., Yu, S.W.: Automatic extraction of word pairs based on heuristics and statistical method. International Journal on Computer Processing of Oriental Languages 11(4), 339–351 (1998)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Liu, J.N.K., Dai, H., Zhou, L. (2005). Intelligent Financial News Digest System. In: Khosla, R., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2005. Lecture Notes in Computer Science(), vol 3683. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11553939_17
Download citation
DOI: https://doi.org/10.1007/11553939_17
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28896-1
Online ISBN: 978-3-540-31990-0
eBook Packages: Computer ScienceComputer Science (R0)