Information Extraction Algorithms And Prospects In A Retrieval Context
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Information Extraction: Algorithms and Prospects in a Retrieval Context
Author: Marie-Francine Moens
language: en
Publisher: Springer Science & Business Media
Release Date: 2006-10-10
This book covers content recognition in text, elaborating on past and current most successful algorithms and their application in a variety of settings: news filtering, mining of biomedical text, intelligence gathering, competitive intelligence, legal information searching, and processing of informal text. Today, there is considerable interest in integrating the results of information extraction in retrieval systems, because of the demand for search engines that return precise answers to flexible information queries.
Information Extraction in Finance
Professional financial traders are currently overwhelmed with news and extracting relevant information is a long and hard task, whilst 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 focuses on the advantages and on the problems of each method. The authors also include many practical examples with complete references and 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 into the financial news analysis.
Handbook of Research on Web Log Analysis
"This book reflects on the multifaceted themes of Web use and presents various approaches to log analysis"--Provided by publisher.