Handbook of Natural Language Processing

by Nitin Indurkhya (Editor), Fred J. Damerau (Editor)

The Handbook of Natural Language Processing, Second Edition presents practical tools and techniques for implementing natural language processing in computer systems. Along with removing outdated material, this edition updates every chapter and expands the content to include emerging areas, such as sentiment analysis. New to the Second Edition Divided into three sections, the book first surveys classical techniques, including both symbolic and empirical approaches. The second section focuses on statistical approaches in natural language processing. In the final section of the book, each chapter describes a particular class of application, from Chinese machine translation to information visualization to ontology construction to biomedical text mining. Fully updated with the latest developments in the field, this comprehensive, modern handbook emphasizes how to implement practical language processing tools in computational systems.

702 pages, Hardcover

First published January 1, 2010

Reviews

[Leonardo]

Recomendado en Natural Language Processing with Python Pág.34

[Patrick Houweling]

Stopped at ~40%

[Jascha]

The book covers pretty well the subject. Despite starting from the basics of NPL, some prior knowledge is required to fully enjoy the text.

[Alon Gutman]

I learned that handbook, in this context means random articles, some are interesting, but it just very random, and not all of them are good.