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Text Analysis with R for Students of Literature

Matthew L. Jockers (Autor)

Buch | Hardcover

XVI, 194 Seiten

2014 | 2014
Springer International Publishing (Verlag)
978-3-319-03163-7 (ISBN)

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Text Analysis with R

Matthew L. Jockers, Rosamond Thalken

2020, 2. Auflage

Buch | Hardcover

CHF 119, ⁸⁰

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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. Each chapter concludes with a set of practice exercises.

The author, Matthew L. Jockers, is Associate Professor of English and Director of the Nebraska Literary Lab at the University of Nebraska in Lincoln. Jockers's text mining research has been featured in the New York Times, Nature, the Chronicle of Higher Education, Wired, New Scientist, Smithsonian, NBC News and many others. Jockers blogs about his research at www.matthewjockers.net.

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.

Erscheint lt. Verlag	3.7.2014
Reihe/Serie	Quantitative Methods in the Humanities and Social Sciences
Zusatzinfo	XVI, 194 p. 40 illus., 10 illus. in color.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Gewicht	444 g
Themenwelt	Geisteswissenschaften ► Sprach- / Literaturwissenschaft ► Sprachwissenschaft
	Mathematik / Informatik ► Mathematik ► Computerprogramme / Computeralgebra
	Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik
	Sozialwissenschaften ► Soziologie ► Empirische Sozialforschung
Schlagworte	Computational Literary Studies • Computergestützte Textanalyse • Corpus Linguistics and R • digital humanities • Linguistic Computing • programming • Programming and Literature • R • text analysis • text classification • Text Clustering • Text Mining
ISBN-10	3-319-03163-5 / 3319031635
ISBN-13	978-3-319-03163-7 / 9783319031637
Zustand	Neuware