Jon Atle Gulla, 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