Articoli correlati a Exploring Textual Data: 4
Sinossi
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.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Recensione
`... 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)
Contenuti
Foreword. Introduction. 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 Partition, 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. Glossary. References. Author Index. Subject Index. Symbols.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
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Exploring Textual Data
Da: Ammareal, Morangis, Francia
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Hardcover. Condizione: Bon. Ancien livre de bibliothèque. Légères traces d'usure sur la couverture. Couverture différente. Edition 1997. Tome 4. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Good. Former library book. Slight signs of wear on the cover. Different cover. Edition 1997. Volume 4. Ammareal gives back up to 15% of this item's net price to charity organizations. Codice articolo D-597-745
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Exploring Textual Data
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Condizione: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. Clean from markings In good all round condition. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,650grams, ISBN:9780792348405. Codice articolo 9276078
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Exploring Textual Data (Text, Speech and Language Technology, 4)
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Exploring Textual Data (Text, Speech and Language Technology, 4)
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Hardcover. Condizione: New. In shrink wrap. Looks like an interesting title! Codice articolo Q-0792348400
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Exploring Textual Data (Text, Speech and Language Technology, 4)
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Exploring Textual Data
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Exploring Textual Data (Text, Speech and Language Technology, 4)
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Condizione: New. In. Codice articolo ria9780792348405_new
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Exploring Textual Data (Hardcover)
Editore:
Kluwer Academic Publishers, Dordrecht, 1997
ISBN 10: 0792348400
ISBN 13: 9780792348405
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Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
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Hardcover. Condizione: new. Hardcover. 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. This volume 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. 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. Researchers in a number of disciplines deal with large text sets requiring both text management and text analysis. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9780792348405
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Exploring Textual Data
Da: Books Puddle, New York, NY, U.S.A.
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Condizione: New. pp. 264. Codice articolo 26551571
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Exploring Textual Data
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Springer Netherlands Dez 1997, 1997
ISBN 10: 0792348400
ISBN 13: 9780792348405
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 264 pp. Englisch. Codice articolo 9780792348405
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