Intelligent Text Categorization and Clustering (2009) (Studies in Computational Intelligence #164)
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- Synopsis
- 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.
- Copyright:
- 2009
Book Details
- Book Quality:
- Publisher Quality
- ISBN-13:
- 9783540856443
- Related ISBNs:
- 9783540856436
- Publisher:
- Springer Berlin Heidelberg
- Date of Addition:
- 08/21/22
- Copyrighted By:
- N/A
- Adult content:
- No
- Language:
- English
- Has Image Descriptions:
- No
- Categories:
- Nonfiction, Computers and Internet, Technology, Language Arts
- Submitted By:
- Bookshare Staff
- Usage Restrictions:
- This is a copyrighted book.
- Edited by:
- Felipe M. França
- Edited by:
- Alberto Ferreira de Souza
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- by Felipe M. G. França
- by Alberto Ferreira De Souza
- in Nonfiction
- in Computers and Internet
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- in Language Arts