Intelligent 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 (intelli...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: França, Felipe M. G. (Editor ), de Souza, Alberto Ferreira (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2009.
Edición:1st ed. 2009.
Colección:Studies in Computational Intelligence, 164
Temas:
Engineering mathematics.
Engineering-Data processing.
Artificial intelligence.
Computational linguistics.
Natural language processing (Computer science).
Mathematical and Computational Engineering Applications.
Artificial Intelligence.
Computational Linguistics.
Natural Language Processing (NLP).
Acceso en línea:Texto Completo
Descripción
Sumario: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.
Descripción Física:XIV, 120 p. 34 illus. online resource.
ISBN:9783540856443
ISSN:1860-9503 ;

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