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Table of contents (9 chapters)
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Front Matter
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Back Matter
Keywords
About this book
Exploring Textual Data demonstrates how exploratory multivariate statistical methods such as correspondence analysis and cluster analysis can be used to help investigate, assimilate and evaluate textual data. The main text does not contain any strictly mathematical demonstrations, making it accessible to a large audience. This book is very user-friendly with proofs abstracted in the appendices. Full definitions of concepts, implementations of procedures and rules for reading and interpreting results are fully explored. A succession of examples is intended to allow the reader to appreciate the variety of actual and potential applications and the complementary processing methods. A glossary of terms is provided.
Reviews
Computational Linguistics, 25:1 (1999)
Authors and Affiliations
Bibliographic Information
Book Title: Exploring Textual Data
Authors: Ludovic Lebart, André Salem, Lisette Berry
Series Title: Text, Speech and Language Technology
DOI: https://doi.org/10.1007/978-94-017-1525-6
Publisher: Springer Dordrecht
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eBook Packages: Springer Book Archive
Copyright Information: Springer Science+Business Media Dordrecht 1998
Hardcover ISBN: 978-0-7923-4840-5Published: 31 December 1997
Softcover ISBN: 978-90-481-4942-1Published: 09 December 2010
eBook ISBN: 978-94-017-1525-6Published: 17 April 2013
Series ISSN: 1386-291X
Series E-ISSN: 2542-9388
Edition Number: 1
Number of Pages: XI, 247
Topics: Statistics, general, Computational Linguistics, Artificial Intelligence, Management of Computing and Information Systems, Marketing