Date: 04-Nov-2008 From: Jasper de Vaal <jasper.devaalspringer.com> Subject: Intelligent Text Categorization and Clustering: Nedjah, Macedo Mourelle, Kacprzyk, França, Ferreira de Souza (Eds) E-mail this message to a friend
Title: Intelligent Text Categorization and Clustering
Series Title: Studies in Computational Intelligence
Published: 2008
Publisher: Springer
http://www.springer.com
Editor: Nadia Nedjah
Editor: Luiza de Macedo Mourelle
Editor: Janusz Kacprzyk
Editor: Felipe M. G. França
Editor: Alberto Ferreira de Souza
Hardback: ISBN: 9783540856436 Pages: 120 Price: U.S. $ 129.00
Hardback: ISBN: 9783540856436 Pages: 120 Price: U.K. £ 75.50
Hardback: ISBN: 9783540856436 Pages: 120 Price: Europe EURO 99.95
Abstract:
> Recent advances in Text Categorization and Clustering
Automatic Text Categorization and Clustering are becoming more and more important as the amount of text in electronic format grows and the access to it becomes more necessary and widespread. Well known applications are spam filtering and web search, but a large number of everyday uses exist (intelligent web search, data mining, law enforcement, etc.) Currently, researchers are employing many intelligent techniques for text categorization and clustering, ranging from support vector machines and neural networks to Bayesian inference and algebraic methods, such as Latent Semantic Indexing.
This volume offers a wide spectrum of research work developed for intelligent text categorization and clustering. In the following, we give a brief introduction of the chapters that are included in this book.
Linguistic Field(s):
Applied Linguistics
Computational Linguistics
Semantics
linguistlist.org>
E-mail this message to a friend
