Natural Language Processing for Online Applications: Text retrieval, extraction and categorization. <strong>Second revised edition</strong>

Author:   Peter Jackson ,  Isabelle Moulinier
Publisher:   John Benjamins Publishing Co
Edition:   2nd Revised edition
Volume:   5
ISBN:  

9789027249920


Pages:   232
Publication Date:   05 June 2007
Format:   Hardback
Availability:   In stock   Availability explained
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Natural Language Processing for Online Applications: Text retrieval, extraction and categorization. <strong>Second revised edition</strong>


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Overview

This text covers the technologies of document retrieval, information extraction, and text categorization in a way which highlights commonalities in terms of both general principles and practical concerns. It assumes some mathematical background on the part of the reader, but the chapters typically begin with a non-mathematical account of the key issues. Current research topics are covered only to the extent that they are informing current applications; detailed coverage of longer term research and more theoretical treatments should be sought elsewhere. There are many pointers at the ends of the chapters that the reader can follow to explore the literature. However, the book does maintain a strong emphasis on evaluation in every chapter both in terms of methodology and the results of controlled experimentation.

Full Product Details

Author:   Peter Jackson ,  Isabelle Moulinier
Publisher:   John Benjamins Publishing Co
Imprint:   John Benjamins Publishing Co
Edition:   2nd Revised edition
Volume:   5
Weight:   0.590kg
ISBN:  

9789027249920


ISBN 10:   902724992
Pages:   232
Publication Date:   05 June 2007
Audience:   College/higher education ,  Professional and scholarly ,  Tertiary & Higher Education ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In stock   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

Table of Contents

1. Preface to the 2nd edition; 2. Chapter 1. Natural language processing; 3. 1.1 What is NLP?; 4. 1.2 NLP and linguistics; 5. 1.3 Linguistic tools; 6. 1.4 Plan of the book; 7. Chapter 2. Document retrieval; 8. 2.1 Information retrieval; 9. 2.2 Indexing technology; 10. 2.3 Query processing; 11. 2.4 Evaluating search engines; 12. 2.5 Attempts to enhance search performance; 13. 2.6 The future ofWeb searching; 14. Chapter 3. Information extraction; 15. 3.1 The message understanding conferences; 16. 3.2 Regular expressions; 17. 3.3 Finite automata in FASTUS; 18. 3.4 Context-free grammars; 19. 3.5 Limitations of current technology and future research; 20. 3.6 Summary of information extraction; 21. Chapter 4. Text categorization; 22. 4.1 Overview of categorization tasks; 23. 4.2 Handcrafted rule based methods; 24. 4.3 Inductive learning for text classification; 25. 4.4 Nearest neighbor algorithms; 26. 4.5 Combining classifiers; 27. 4.6 Evaluation of text categorization systems; 28. Chapter 5. Text mining; 29. 5.1 What is text mining?; 30. 5.2 Resolving reference and coreference; 31. 5.3 Automatic summarization; 32. 5.4 Testing of automatic summarization programs; 33. 5.5 Prospects for text mining and NLP; 34. References; 35. Index

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