Exploring Textual Data

By: Ludovic Lebart, A. Salem, L. Berry

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Hardcover | 31 December 1997

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Hardcover
264 Pages

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25.4 x 16.51 x 2.54

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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.

Industry 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)

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Non-Fiction Language & Linguistics Linguistics Semantics & Discourse Analysis Mathematics Probability & Statistics Library & Info Sciences Library & Information Services

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Paperback

Published: 9th December 2010

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Foreword
Introduction	p. 1
Textual Statistics: Scope and Applications	p. 5
The Units of Textual Statistics	p. 21
Correspondence Analysis of Lexical Tables	p. 45
Cluster Analysis of Words and Texts	p. 81
Visualization of Textual Data	p. 101
Characteristic Textual Units, Modal Responses and Modal Texts	p. 129
Longitudinal Partitions, Textual Time Series	p. 147
Textual Discriminant Analysis	p. 163
Singular value decomposition and correspondence analysis	p. 200
Clustering techniques	p. 211
More details about the nonparmetric estimation model	p. 219
Search for repeated segments in a corpus	p. 221
Glossary	p. 224
References	p. 229
Author Index	p. 238
Subject Index	p. 242
Symbols	p. 246
Table of Contents provided by Blackwell. All Rights Reserved.

Exploring Textual Data

At a Glance

Hardcover

Industry Reviews

Shipping

How to return your order

Defective items

You Can Find This Book In

Other Editions and Formats

Paperback

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