Information Extraction in Finance
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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1 Financial information and investment decisions
2 Financial tools
3 Traditional approaches on qualitative information
4 Natural language processing and information extraction
5 LOLITA and IEexpert systems
acquisition algorithms annotations announce application approach Assentor automatically Bloomberg co-reference Company name company target concept database defined developed disambiguation domain domain-specific entity evaluation example expert system F-measure Figure financial operators financial tools Genetic algorithms grammar identified IE system inference information extraction information retrieval input investment decision keywords lexical lexical analysis linked LOLITA system main-event Messages Understanding Conference module MUC competitions named-entity natural language Natural Language Processing neural networks neuron nodes non-relevant organisation output parse tree parser part-of-speech tagging pattern matching performed PostgreSQL produce qualitative information quantitative tools query real-time relevant documents relevant information Reuters Reuters 3000 Xtra rules scenario template script semantic network semantic structure SemNet sentence shares Simon Stevin slot source text specific statistical summary takeover event takeover template task techniques tokeniser topic TREC University of Sheffield UrlToTest verb words