Learning to Classify Text Using Support Vector Machines

Joachims, Thorsten

ISBN 10: 079237679X / ISBN 13: 9780792376798

Editore: Springer, 2002

Former library book; Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less. Codice articolo G079237679XI3N10

Riassunto:

Based on ideas from Support Vector Machines (SVMs), Learning To Classify Text Using Support Vector Machines presents a new approach to generating text classifiers from examples. The approach combines high performance and efficiency with theoretical understanding and improved robustness. In particular, it is highly effective without greedy heuristic components. The SVM approach is computationally efficient in training and classification, and it comes with a learning theory that can guide real-world applications.

Learning To Classify Text Using Support Vector Machines gives a complete and detailed description of the SVM approach to learning text classifiers, including training algorithms, transductive text classification, efficient performance estimation, and a statistical learning model of text classification. In addition, it includes an overview of the field of text classification, making it self-contained even for newcomers to the field. This book gives a concise introduction to SVMs for pattern recognition, and it includes a detailed description of how to formulate text-classification tasks for machine learning.

Contenuti: Foreword; T.Mitchell, K. Morik. Preface. Acknowledgments. Notation. 1. Introduction. 2. Text Classification. 3. Support Vector Machines. Part Theory. 4. A Statistical Learning Model of Text Classification for SVMS. 5. Efficient Performance Estimators for SVMS. Part Methods. 6. Inductive Text Classification. 7. Transductive Text Classification. Part Algorithms. 8. Training Inductive Support Vector Machines. 9. Training Transductive Support Vector Machines. 10. Conclusions. Bibliography. Appendices. Index.

Dati bibliografici

Titolo: Learning to Classify Text Using Support ...
Casa editrice: Springer
Data di pubblicazione: 2002
Legatura: Hardcover
Condizione: Good
Condizione sovraccoperta: No Jacket