Text Analysis with R for Students of Literature

Matthew L. Jockers

ISBN 10: 3319349198 / ISBN 13: 9783319349190

Editore: Springer International Publishing, Springer Nature Switzerland Sep 2016, 2016

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Neuware -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 atboth 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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 212 pp. Englisch. Codice articolo 9783319349190

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Titolo: Text Analysis with R for Students of ...

Casa editrice: Springer International Publishing, Springer Nature Switzerland Sep 2016

Data di pubblicazione: 2016

Legatura: Taschenbuch

Condizione: Neu

Descrizione articolo

Riassunto:

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.

Informazioni sull?autore:

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.