Text Analysis with R for Students of Literature (Hardcover, 2014 Ed.)

"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 extend their methodological tool kit to include quantitative and computational approaches to the study of text. Computation provides access to information in text that we simply cannot gather using traditional qualitative methods of close reading and human synthesis. "Text Analysis with R for Students of Literature" provides a practical introduction to computational text analysis using the open source programming language R. R is extremely popular throughout the sciences and because of its accessibility, R is now used increasingly in other research areas. Readers begin working with text right away and each chapter works through a new technique or process such that readers gain a broad exposure to core R procedures and a basic understanding of the possibilities of computational text analysis at both the micro and macro scale. Each chapter builds on the previous as readers move from small scale microanalysis of single texts to large scale macroanalysis of text corpora, and each chapter concludes with a set of practice exercises that reinforce and expand upon the chapter lessons. The book s focus is on making the technical palatable and making the technical useful and immediately gratifying."

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Quantitative Methods in the Humanities and Social Sciences
Release date:	June 2014
First published:	2014
Authors:	Matthew L. Jockers
Dimensions:	235 x 155 x 14mm (L x W x T)
Format:	Hardcover
Pages:	194
Edition:	2014 Ed.
ISBN-13:	978-3-319-03163-7
Categories:	Books > Language & Literature > Literature: history & criticism > Literary studies > General Books > Computing & IT > Applications of computing > Artificial intelligence > Natural language & machine translation Promotions
LSN:	3-319-03163-5
Barcode:	9783319031637

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