Overview
- Recent advances in Text Categorization and Clustering
Part of the book series: Studies in Computational Intelligence (SCI, volume 164)
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Table of contents (6 chapters)
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Front Matter
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Back Matter
Keywords
About this book
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.
Bibliographic Information
Book Title: Intelligent Text Categorization and Clustering
Editors: Nadia Nedjah, Luiza Macedo Mourelle, Janusz Kacprzyk, Felipe M. G. França, Alberto Ferreira De Souza
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-540-85644-3
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2009
Hardcover ISBN: 978-3-540-85643-6Published: 01 October 2008
Softcover ISBN: 978-3-642-09929-8Published: 28 October 2010
eBook ISBN: 978-3-540-85644-3Published: 09 September 2008
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: XIV, 120
Number of Illustrations: 34 b/w illustrations
Topics: Mathematical and Computational Engineering, Artificial Intelligence, Computational Linguistics, Natural Language Processing (NLP), Natural Language Processing (NLP)