Text Analysis with R for Students of Literature
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.
What people are saying - Write a review
LibraryThing ReviewUser Review - James.Igoe - LibraryThing
Engaging writing, with code samples and practices. As for programming, I thought the code quality was somewhat low or sloppy, but Jockers is not a software developer by trade. While reading, I did ... Read full review
Other editions - View all
ahab anonymous argument book.freqs.l bracketed calculate called Carpet-Bag cetology Chap chap.positions.v chapter.freqs.t chunk chunks.l clustering collapse column console contains contents convert corpus create cross tabulate data frame do.call do.call(rbind document end.v enter example file names files.v files.v[i for(i function grep gutenberg Hemingway input.dir inside International Publishing Switzerland iterate keyword KWIC Kyne lapply length function list item list object load loop M.L. Jockers mallet matrix object metadata Moby Dick moby.word.v novel novel.lines.v number of word occurrences of whale package pane plot position programming programming language Project Gutenberg Publishing Switzerland 2014 Quantitative Methods rbind readline regular expression relative frequency RStudio script Sense and Sensibility Springer International Publishing start.v stored string Students of Literature Text Analysis text.v topic modeling total number variable whales.v what="character which(text.v word frequency word tokens word vector word.v words.lower XML files XPath you’ll Zipf’s law