"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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