Learning to Classify Text Using Support Vector Machines: Methods, Theory and Algorithms (The Springer International Series in Engineering and Computer Science)

Learning to Classify Text Using Support Vector Machines: Methods, Theory and Algorithms (The Springer International Series in Engineering and Computer Science)

by ThorstenJoachims (Author)

Synopsis

Based on ideas from Support Vector Machines (SVMs), this title presents an approach to generating text classifiers from examples. This book gives a detailed description of the SVM approach to learning text classifiers, including training algorithms, transductive text classification, and, efficient performance estimation.

$176.76

Quantity

20+ in stock

More Information

Format: Hardcover
Pages: 228
Edition: illustrated edition
Publisher: Springer
Published: 30 Apr 2002

ISBN 10: 079237679X
ISBN 13: 9780792376798