Advanced Finance was founded in 1998 to investigate the state of the art technologies and artificial intelligence techniques applied to finance. This includes natural language processing and expert systems as tool for analysing qualitative information in finance and producing investment decisions, fuzzy logic, neural networks and genetic algorithms applied to finance.
In 2005 Paolo Coletti joined Advanced Finance as an associate and expert in natural language understanding and quantitative stochastic methods.
Advanced Finance provides consultancy services to clients seeking improvements to their systems, processes, codebase and any other solutions where they need expert advice.
We are currently proudly working with a number of clients to deliver cutting edge solutions to the financial as well as other industries.
Information Extraction in Finance
Marco Costantino and Paolo Coletti
published by WIT Press 2008 ISBN 978-1-84564-146-7
Professional financial traders are currently overwhelmed with news and 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 include also 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 in the financial news analysis.
This book provides a full overview of the past and present algorithms for information extraction, which are unfortunately scattered among different research institutes, thus giving a complete idea of the research activities. Basic algorithms descriptions, which give the non-expert reader an idea of the most common techniques in this field, and references may have a strong impact on readers.
Intended audience for this book is expert researchers in the field, who would like to have a complete overview of other researchers activities going on; new researcher in the field who would like to have a market survey before developing their own algorithms; financial organizations which want to buy an information extraction system or start to fund a new research project on this topic; students who are following a course or writing a dissertation on natural language algorithms.
Keywords: information extraction, financial news, natural language understanding, applied artificial intelligence