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The text mining handbook : advanced approaches in analyzing unstructured data

Author: Ronen Feldman; James Sanger
Publisher: Cambridge ; New York : Cambridge University Press, 2007.
Edition/Format:   Print book : EnglishView all editions and formats
Database:WorldCat
Summary:
Text mining tries to solve the crisis of information overload by combining techniques from data mining, machine learning, natural language processing, information retrieval, and knowledge management. In addition to providing an in-depth examination of core text mining and link detection algorithms and operations, this book examines advanced pre-processing techniques, knowledge representation considerations, and  Read more...
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Genre/Form: Handbooks and manuals
Handbooks, manuals, etc
Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: Ronen Feldman; James Sanger
ISBN: 0521836573 9780521836579
OCLC Number: 61881155
Description: xii, 410 pages : illustrations ; 27 cm
Contents: Introduction to text mining --
Core text mining operations --
Text mining preprocessing techniques --
Categorization --
Clustering --
Information extraction --
Probabilistic models for information extraction --
Preprocessing applications using probabilistic and hybrid approaches --
Presentation-layer considerations for browsing and query refinement --
Visualization approaches --
Link analysis --
Text mining applications.
Responsibility: Ronen Feldman, James Sanger.
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Abstract:

Covers text mining and link detection algorithms, pre-processing techniques, knowledge representation, visualization and applications.  Read more...

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' ... buy the book. This book is definitely worth having in your book shelf as a handy reference.' IAPR Newsletter

 
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