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Natural Language Processing and Text Mining

By: Anne Kao (Editor), Steve R. Poteet (Editor)

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Hardcover | 12 December 2006

At a Glance

Hardcover
280 Pages

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23.39 x 15.6 x 1.75

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The topic this book addresses originated from a panel discussion at the 2004 ACM SIGKDD (Special Interest Group on Knowledge Discovery and Data Mining) Conference held in Seattle, Washington, USA. We the editors or- nized the panel to promote discussion on how text mining and natural l- guageprocessing, tworelatedtopicsoriginatingfromverydi?erentdisciplines, can best interact with each other, and bene't from each other's strengths. It attracted a great deal of interest and was attended by 200 people from all over the world. We then guest-edited a special issue of ACM SIGKDD Exp- rations on the same topic, with a number of very interesting papers. At the same time, Springer believed this to be a topic of wide interest and expressed an interest in seeing a book published. After a year of work, we have put - gether 11 papers from international researchers on a range of techniques and applications. We hope this book includes papers readers do not normally ?nd in c- ference proceedings, which tend to focus more on theoretical or algorithmic breakthroughs but are often only tried on standard test data. We would like to provide readers with a wider range of applications, give some examples of the practical application of algorithms on real-world problems, as well as share a number of useful techniques.

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"The papers in this book describe a range of natural language processing (NLP) techniques and applications, all originating from an ACM Special Interest Group on Knowledge Discovery and Data Mining (SIGKDD) panel discussion. ... Overall, the contributions are well balanced with respect to the different approaches presented ... . The volume appears to serve its intended purpose, which is to provide an electric overview of the international research efforts in text mining, featuring relevant tools and techniques from NLP and machine learning." (Peter Jackson, Computing Reviews, March, 2008)

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You Can Find This Book In

Non-Fiction Computing & I.T.Databases Data Mining Computer Science Artificial Intelligence Natural Language & Machine Translation Machine Learning Computer Architecture & Logic Design Data Capture & Analysis Information Retrieval

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Paperback

Published: 13th October 2010

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Overview	p. 1
Extracting Product Features and Opinions from Reviews	p. 9
Extracting Relations from Text: From Word Sequences to Dependency Paths	p. 29
Mining Diagnostic Text Reports by Learning to Annotate Knowledge Roles	p. 45
A Case Study in Natural Language Based Web Search	p. 69
Evaluating Self-Explanations in iSTART: Word Matching, Latent Semantic Analysis, and Topic Models	p. 91
Textual Signatures: Identifying Text-Types Using Latent Semantic Analysis to Measure the Cohesion of Text Structures	p. 107
Automatic Document Separation: A Combination of Probabilistic Classification and Finite-State Sequence Modeling	p. 123
Evolving Explanatory Novel Patterns for Semantically-Based Text Mining	p. 145
Handling of Imbalanced Data in Text Classification: Category-Based Term Weights	p. 171
Automatic Evaluation of Ontologies	p. 193
Linguistic Computing with UNIX Tools	p. 221
Index	p. 259
Table of Contents provided by Ingram. All Rights Reserved.

Natural Language Processing and Text Mining

At a Glance

Hardcover

Industry Reviews

Shipping

How to return your order

Defective items

You Can Find This Book In

Other Editions and Formats

Paperback

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