Information Extraction in Finance

Front Cover
WIT Press, 2008 - Business & Economics - 171 pages
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This book provides a full overview of past and present algorithms forinformation extraction, which have unfortunately been scattered among different research institutes. It thus gives a complete idea of the researchactivities in the field. It includes basic algorithms descriptions, which give the non-expert reader an idea of the most common techniques in this field, and references. Primarily intended for financial organizations and business analysts, this book provides an introduction to the algorithmic solutions to automatically extract the desired information from Internet news and obtain it in a well structured form. It places emphasis on the principles of the method rather than its numerical implementation, omitting the mathematical details that might otherwise obscure the text and trying to focus on the advantages and on the problems of each method. The authors also include many practical examples with complete references, algorithms for similar problems, which may be useful in the financial field, and basic techniques applied in other informationextraction fields which may be imported to the analysis of financial news.
 

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Contents

1 Financial information and investment decisions
1
2 Financial tools
11
3 Traditional approaches on qualitative information
27
4 Natural language processing and information extraction
37
5 LOLITA and IEexpert systems
75
6 Conclusions
115
A Other MUC systems
117
B Recent systems
129
C Other systems
149
Bibliography
159
Index
169
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