Chapman & Hall/CRC Machine Learning & Pattern Recognition

By: Nitin Indurkhya (Editor), Fred J. Damerau (Editor)

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Hardcover | 22 February 2010 | Edition Number 2

At a Glance

Hardcover
704 Pages

Edition Type
New edition

Dimensions(cm)
25.4 x 17.78 x 3.81

Hardcover

RRP $326.00

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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 Along with removing outdated material, this edition updates every chapter and expands the content to include emerging areas, such as sentiment analysis.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

Greater prominence of statistical approaches
New applications section
Broader multilingual scope to include Asian and European languages, along with English
An actively maintained wiki (http: //handbookofnlp.cse.unsw.edu.au) that provides online resources, supplementary information, and up-to-date developments

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.

Industry Reviews

! The need for a revised second edition of this book arose because of the growth of the field and the introduction of new methods. ! The chapters have been exhaustively reviewed to maintain quality and homogeneity. The handbook has numerous diagrams and tables. The chapters are arranged so that they may be read independently. The style of presentation is good and the index is useful. Adequate references to current literature are provided. When compared to the previous edition, this edition focuses on statistical approaches, new and emerging applications, and multilingual scope, and has an actively maintained Wiki. Outdated chapters present in the first edition have been removed, and the remaining chapters have been rewritten and updated to reflect current trends and applications. When compared to other handbooks on NLP, this one is cheaper and certainly worth every penny. It provides a lot of useful information to those who are interested in NLP and its applications. ! I highly recommend this handbook to practitioners of NLP as a very useful resource. --Computing Reviews, January 2011 ! If you need a readable introduction to this important subject -- this is it. ! This is a good way to get into NLP. ! this does provide a basic course on the subject suitable both for academic and practical development. Highly recommended. --Mike James, iProgrammer, 2010

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