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

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4.19  ·  Rating details ·  31 ratings  ·  6 reviews
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 ...more
Kindle Edition, 194 pages
Published June 10th 2014 by Springer (first published April 26th 2014)
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Justohidalgo
Sep 11, 2018 rated it really liked it  ·  review of another edition
Shelves: technical
Even though I had already played around with R, I really wanted to try it out in a context I am specially fond of, which is text and specifically book text. This book is just what I was looking for.
I already knew about the author from his well-known work The Bestselling code (at least in the publishing world :)).

In this case, the author goes quite technical and explains how to manage and massage ebook data with R. This means that the reader, obviously, needs to understand basic statistics, some
...more
Arlie
Jan 13, 2020 rated it liked it  ·  review of another edition
Fine introduction to text analysis in r. The author skips some things like stopwords and lemmatizing that I had to find elsewhere. It would have been useful to have guides for using the tm package with different kinds of data, like dataframes. This is a good place to start, but be prepared to look up the rest on stackexchange.
Bojan Tunguz
Jul 14, 2015 rated it it was amazing  ·  review of another edition
Our ability to access, process, and analyze large quantities of data has been increasing at a dizzying pace over the last few years. This data-driven revolution is fundamentally changing many professional and academic fields. Many people, especially the long-term practitioners in humanities and similar disciplines, find this change worrying, and in many ways exactly contrary to the spirit of these disciplines. Pouring over long and demanding texts, while internalizing them and becoming personall ...more
Joe
Good overall introduction to R and how to use it to import text data and analyze it. I stopped at page 90 because it got into parsing XML, which is more than I need for the project I'm working on. Readers will probably struggle if they've never done any computer programming, but I did ok with only some programming experience.
James Igoe
Aug 04, 2015 rated it it was amazing
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 have a few ideas to solve some text-matching issues across systems, and generally, I found the lack of discipline in the author's approach conducive to flexible thinking about using techniques with R.
Grace
Great overall introduction - very suitable for total beginner.
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