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عنوان
Exploring Textual Data

پدید آورنده
by Ludovic Lebart, André Salem, Lisette Berry.

موضوع
Artificial intelligence.,Computational linguistics.,Information Systems.,Marketing.,Statistics.

رده

کتابخانه
Center and Library of Islamic Studies in European Languages

محل استقرار
استان: Qom ـ شهر: Qom

Center and Library of Islamic Studies in European Languages

تماس با کتابخانه : 32910706-025

INTERNATIONAL STANDARD BOOK NUMBER

(Number (ISBN
9789048149421
(Number (ISBN
9789401715256

NATIONAL BIBLIOGRAPHY NUMBER

Number
b408383

TITLE AND STATEMENT OF RESPONSIBILITY

Title Proper
Exploring Textual Data
General Material Designation
[Book]
First Statement of Responsibility
by Ludovic Lebart, André Salem, Lisette Berry.

.PUBLICATION, DISTRIBUTION, ETC

Place of Publication, Distribution, etc.
Dordrecht :
Name of Publisher, Distributor, etc.
Imprint: Springer,
Date of Publication, Distribution, etc.
1998.

SERIES

Series Title
Text, Speech and Language Technology,
Volume Designation
4
ISSN of Series
1386-291X ;

CONTENTS NOTE

Text of Note
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.
0

SUMMARY OR ABSTRACT

Text of Note
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.

OTHER EDITION IN ANOTHER MEDIUM

International Standard Book Number
9789048149421

PIECE

Title
Springer eBooks

TOPICAL NAME USED AS SUBJECT

Artificial intelligence.
Computational linguistics.
Information Systems.
Marketing.
Statistics.

PERSONAL NAME - PRIMARY RESPONSIBILITY

Lebart, Ludovic.

PERSONAL NAME - ALTERNATIVE RESPONSIBILITY

Berry, Lisette.
Salem, André.

CORPORATE BODY NAME - ALTERNATIVE RESPONSIBILITY

SpringerLink (Online service)

ORIGINATING SOURCE

Date of Transaction
20190301081800.0

ELECTRONIC LOCATION AND ACCESS

Electronic name
 مطالعه متن کتاب 

[Book]

Y

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