ENGLISH

Intelligent Text Categorization and Clustering

By Nadia Nedjah , Luiza de Macedo Mourelle , Janusz Kacprzyk , Helyane Bronoski Borges , Julio Cesar Nievola (auth.) , Felipe M. G. França , Alberto Ferreira de De Souza (eds.)

Book information

Publisher
Springer-Verlag Berlin Heidelberg
Year
2009
ISBN
3540856439, 9783540856436
DOI
10.1007/978-3-540-85644-3
Language
english
Format
PDF
Filesize
4 MB (4370036 bytes)
Series
Studies in Computational Intelligence 164
Edition
1
Pages
120\127
Topic
Education
Orientation
no
Scanned
no
Time added
2011-06-04 13:46:07
Appl.Mathematics/Computational Methods of Engineer

Description

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.

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