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[size=8.33333px][size=8.33333px]Financial News Mining: Monitoring Continuous Streams of Text
[size=8.33333px]Ingvaldsen, J.E.;   Gulla, J.A.;   Laegreid, T.;   Sandal, P.C.;   
Dept. of Comput. & Inf. Sci., Norwegian Univ. of Sci. & Technol., Trondheim
This paper appears in: Web Intelligence, 2006. WI 2006. IEEE/WIC/ACM International Conference on
Issue Date: 18-22 Dec. 2006
On page(s): 321 - 324
Location: Hong Kong
Print ISBN: 0-7695-2747-7
INSPEC Accession Number: 9451819
Digital Object Identifier: 10.1109/WI.2006.80  
Date of Current Version: 15 January 2007

[size=1.085em]ABSTRACTThis 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



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关键词：求英文文献 英文文献 Intelligence information Text Mining 文献 英文

lance0108 发表于 2011-1-26 14:57
[size=8.33333px][size=8.33333px]Financial News Mining: Monitoring Continuous Streams of Text
[size=8.33333px]Ingvaldsen, J.E.;   Gulla, J.A.;   Laegreid, T.;   Sandal, P.C.;   
Dept. of Comput. & Inf. Sci., Norwegian Univ. of Sci. & Technol., Trondheim
This paper appears in: Web Intelligence, 2006. WI 2006. IEEE/WIC/ACM International Conference on
Issue Date: 18-22 Dec. 2006
On page(s): 321 - 324
Location: Hong Kong
Print ISBN: 0-7695-2747-7
INSPEC Accession Number: 9451819
Digital Object Identifier: 10.1109/WI.2006.80  
Date of Current Version: 15 January 2007

[size=1.085em]ABSTRACTThis 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



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