Exploring Textual Data

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Synopsis

Researchers in a number of disciplines deal with large text sets requiring both text management and text analysis. Faced with a large amount of textual data collected in marketing surveys, literary investigations, historical archives and documentary data bases, these researchers require assistance with organizing, describing and comparing texts. 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.

Book details

Edition:
1998
Series:
Text, Speech and Language Technology (Book 4)
Author:
Ludovic Lebart, A. Salem, L. Berry
ISBN:
9789401715256
Related ISBNs:
9780792348405
Publisher:
Springer Netherlands
Pages:
N/A
Reading age:
Not specified
Includes images:
Yes
Date of addition:
2022-08-07
Usage restrictions:
Copyright
Copyright date:
1998
Copyright by:
Springer Science+Business Media Dordrecht 
Adult content:
No
Language:
English
Categories:
Business and Finance, Computers and Internet, Language Arts, Mathematics and Statistics, Nonfiction