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Text, Speech and Language Technology Ser.: Exploring Textual Data by Andre Salem, Ludovic Lebart and Lisette Berry (1997, Hardcover)

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Title: Exploring Textual Data. Language: English. Number of Pages: 247. Weight: 1.23 lbs. Publication Date: 1997-12-31. Publisher: Springer.

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Product Information

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.

Product Identifiers

Publisher
Springer Netherlands
ISBN-10
0792348400
ISBN-13
9780792348405
eBay Product ID (ePID)
473119

Product Key Features

Author
Ludovic Lebart, Lisette Berry, ANDRÉ Salem
Publication Name
Exploring Textual Data
Format
Hardcover
Language
English
Series
Text, Speech and Language Technology Ser.
Publication Year
1997
Type
Textbook
Number of Pages
Xi, 247 Pages

Dimensions

Item Length
11.7in
Item Width
8.3in
Item Weight
42.7 Oz

Additional Product Features

Series Volume Number
4
Number of Volumes
1 Vol.
Lc Classification Number
Qa276-280
Reviews
'... this book should becomne an essential reference for any researcher interested in the quantitative analysis of textual data. I know of no other book that covers the same range of topics with this amount of detail. ... researchers from any field who use quantitative techniques to process texts should find much here that will be of use.' Computational Linguistics, 25:1 (1999), ' ... this book should becomne an essential reference for any researcher interested in the quantitative analysis of textual data. I know of no other book that covers the same range of topics with this amount of detail. ... researchers from any field who use quantitative techniques to process texts should find much here that will be of use. ' Computational Linguistics, 25:1 (1999)
Table of Content
1 Textual Statistics: Scope and Applications.- 2 The Units of Textual Statistics.- 3 Correspondence Analysis of Lexical Tables.- 4 Cluster Analysis of Words and Texts.- 5 Visualization of Textual Data.- 6 Characteristic Textual Units, Modal Responses and Modal Texts.- 7 Longitudinal Partitions, Textual Time Series.- 8 Textual Discriminant Analysis.- Appendix 1: Singular value decomposition and correspondence analysis.- Appendix 2: Clustering techniques.- Appendix 3: More details about the nonparametric estimation model.- Appendix 4: Search for repeated segments in a corpus.- References.- Author Index.- Symbols.
Copyright Date
1998
Topic
Probability & Statistics / General, Linguistics / Semantics, Speech & Audio Processing, Linguistics / General
Lccn
97-031927
Dewey Decimal
401/.41/021
Intended Audience
Scholarly & Professional
Dewey Edition
21
Illustrated
Yes
Genre
Computers, Mathematics, Language Arts & Disciplines

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Picture 1 of 1

Text, Speech and Language Technology Ser.: Exploring Textual Data by Andre Salem, Ludovic Lebart and Lisette Berry (1997, Hardcover)

About this product

Product Information

Product Identifiers

Product Key Features

Dimensions

Additional Product Features

All listings for this product

item 1 Exploring Textual Data

item 2 Exploring Textual Data by Ludovic Lebart (English) Hardcover Book

Best Selling in Textbooks

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Designing Data-Intensive Applications : The Big Ideas Behind Reliable, Scalable, and Maintainable Systems by Martin Kleppmann (2017, Trade Paperback)

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