Overview
- While there are a large number of books on Natural Language Processing (NLP) and several on Text Mining, there are almost none that discuss them together in any depth. This book not only discusses applications of certain NLP techniques to certain Text Mining tasks, but also the converse, i.e. use of Text Mining to help NLP
- Brings together a variety of views from various internationally recognized researchers and emphasizes caveats in the attempt to apply NLP to Text Mining.
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About this book
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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Keywords
Table of contents (12 chapters)
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Front Matter
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Back Matter
Reviews
From the reviews:
"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)
Editors and Affiliations
Bibliographic Information
Book Title: Natural Language Processing and Text Mining
Editors: Anne Kao, Stephen R. Poteet
DOI: https://doi.org/10.1007/978-1-84628-754-1
Publisher: Springer London
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag London 2007
Hardcover ISBN: 978-1-84628-175-4Published: 12 December 2006
Softcover ISBN: 978-1-84996-558-3Published: 13 October 2010
eBook ISBN: 978-1-84628-754-1Published: 06 March 2007
Edition Number: 1
Number of Pages: XII, 265
Topics: Information Storage and Retrieval, Artificial Intelligence, Computational Linguistics, Processor Architectures, Theory of Computation, Information Systems Applications (incl. Internet)