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Title: Intelligent Text Categorization and Clustering
Edited By: Nadia Nedjah
Luiza de Macedo Mourelle
Janusz Kacprzyk
Felipe M. G. França
Alberto Ferreira de Souza
URL: http://www.springer.com/978-3-540-85643-6
Series Title: Studies in Computational Intelligence
Description:

> 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.

Publication Year: 2008
Publisher: Springer
Review: Not available for review. If you would like to review a book on The LINGUIST List, please login to view the AFR list.
BibTex: View BibTex record
Linguistic Field(s): Applied Linguistics
Computational Linguistics
Semantics
Issue: All announcements sent out by The LINGUIST List are emailed to our subscribers and archived with the Library of Congress.
Click here to see the original emailed issue.

Versions:
Format: Hardback
ISBN: 3540856439
ISBN-13: 9783540856436
Pages: 120
Prices: U.S. $ 129.00
U.K. £ 75.50
Europe EURO 99.95