Text Analysis with R for Students of Literature (Quantitative Methods in the Humanities and Social Sciences) - Tapa dura

Libro 1 de 18: Quantitative Methods in the Humanities and Social Sciences

Jockers, Matthew

 
9783319031637: Text Analysis with R for Students of Literature (Quantitative Methods in the Humanities and Social Sciences)
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ISBN 10: 3319031635 ISBN 13: 9783319031637
Editorial: Springer, 2014

Sinopsis

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.

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Acerca del autor

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.



De la contraportada

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.

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Editorial
Springer
Año de publicación
2014
Idioma
Inglés
ISBN 10 
3319031635
ISBN 13 
9783319031637
Encuadernación
Tapa dura
Número de páginas
212
Contacto del fabricante
no disponible
Persona responsable
CMN Printpool Inh. Mathis Neumann
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Alemania

Otras ediciones populares con el mismo título

9783319349190: Text Analysis with R for Students of Literature (Quantitative Methods in the Humanities and Social Sciences)

Edición Destacada

ISBN 10:  3319349198 ISBN 13:  9783319349190
Editorial: Springer, 2016
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