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Financial News Mining: Monitoring Continuous Streams of Text
Hong Kong, China December 18-December 22
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/WI.2006.802006 IEEE/WIC/ACM International Confe ...
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Jon Espen Ingvaldsen, Norwegian University of Science and Technology, Norway
Jon Atle Gulla, Norwegian University of Science and Technology, Norway
Tarjei Laegreid, Norwegian University of Science and Technology, Norway
Paul Christian Sandal, Norwegian University of Science and Technology, Norway
This paper addresses the problem of extracting, analyzing and synthesizing valuable information from continuous text streams covering financial information. A text mining framework combining elements from information retrieval, information extraction and natural language processing has been implemented. The framework is utilized to extract information regarding key actors in the domain, how they relate to each other, and how these characteristics evolve over time.
Citation:
Jon Espen Ingvaldsen, Jon Atle Gulla, Tarjei Laegreid, Paul Christian Sandal, "Financial News Mining: Monitoring Continuous Streams of Text," wi, pp.321-324, 2006 IEEE/WIC/ACM International Conference on Web Intelligence (WI'06), 2006
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