Information Extraction in Finance (Advances in Management Information Systems)

This book provides a full overview of past and present algorithms for
information extraction, which have unfortunately been scattered among different research institutes. It thus gives a complete idea of the research
activities 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.

Professional financial traders are currently overwhelmed with news.
Extracting relevant information is a long and hard task, while trading
decisions require immediate actions. 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 information
extraction fields which may be imported to the analysis of financial news.