ISBN: 9783319031644
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ISBN: 9783319031644
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ISBN: 9783319031644
Statistics; Statistics and Computing/Statistics Programs; Computational Linguistics; Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law Computational Lit… Mehr…
6, ISBN: 9783319031644
Text Analysis with R for Students of Literature is written with students and scholars of literature in mind but will be applicable to other humanists and social scientists wishing to exte… Mehr…
ISBN: 9783319031644
This practical introduction explores core R procedures and processes and offers a thorough understanding of the possibilities of computational text analysis at both micro and macro scales… Mehr…
ISBN: 9783319031644
Text Analysis with R for Students of Literature ab 35.49 EURO Medien > Bücher
ISBN: 9783319031644
Bibliographische Daten des bestpassenden Buches
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Detailangaben zum Buch - Text Analysis with R for Students of Literature
EAN (ISBN-13): 9783319031644
Erscheinungsjahr: 6
Herausgeber: Springer
Buch in der Datenbank seit 2015-01-23T14:43:33+01:00 (Berlin)
Detailseite zuletzt geändert am 2021-06-22T11:07:46+02:00 (Berlin)
ISBN/EAN: 9783319031644
ISBN - alternative Schreibweisen:
978-3-319-03164-4
Alternative Schreibweisen und verwandte Suchbegriffe:
Autor des Buches: matthew jockers, karl springer
Titel des Buches: third text, analysis
Daten vom Verlag:
Autor/in: Matthew L. Jockers
Titel: Quantitative Methods in the Humanities and Social Sciences; Text Analysis with R for Students of Literature
Verlag: Springer; Springer International Publishing
194 Seiten
Erscheinungsjahr: 2014-06-10
Cham; CH
Sprache: Englisch
64,19 € (DE)
66,00 € (AT)
71,00 CHF (CH)
Available
XVI, 194 p. 40 illus., 10 illus. in color.
EA; E107; eBook; Nonbooks, PBS / Mathematik/Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik; Wahrscheinlichkeitsrechnung und Statistik; Verstehen; Computational Literary Studies; Corpus Linguistics and R; Digital Humanities; Linguistic Computing; Programming and Literature; R; Text Analysis; Text Classification; Text Clustering; Text Mining; A; Statistics and Computing; Computational Linguistics; Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy; Mathematics and Statistics; Mathematische und statistische Software; Computerlinguistik und Korpuslinguistik; Sozialforschung und -statistik; BB
R Basics.- First Foray into Text Analysis with R.- Accessing and Comparing Word Frequency Data.- Token Distribution Analysis.- Correlation.- Measures of Lexical Variety.- Hapax Richness.- Do It KWIC.- Do It KWIC (Better).- Text Quality, Text Variety, and Parsing XML.- Clustering.- Classification.- Topic Modeling.- Appendix A: Variable Scope Example.- Appendix B: The LDA Buffet.- Appendix C: Code Repository.- Appendix D: R Resources.- Practice Exercise Solutions.- Index.Book is specifically designed for students and scholars with no programming experience who wish to learn R for text analysis Reader will move with ease from simple single text analysis to corpora level analysis with the accessible nature of this text, which is written from the perspective of a literature scholar Design of material will get readers analyzing text immediately and covers enough conceptual information to be applied to individual projects Includes supplementary material: sn.pub/extras
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