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

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

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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 books focus is on making the technical palatable and making the technical useful and immediately gratifying.

⚠️ WARNING (California Proposition 65):

This product may contain chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm.

For more information, please visit www.P65Warnings.ca.gov.

  • Q: What is the main focus of 'Text Analysis with R for Students of Literature'? A: The book focuses on providing a practical introduction to computational text analysis using the R programming language, tailored for students and scholars in literature, while also being relevant for other humanists and social scientists.
  • Q: What skills will I gain from this book? A: Readers will gain a broad exposure to core R procedures and an understanding of computational text analysis techniques, progressing from microanalysis of individual texts to macroanalysis of larger text corpora.
  • Q: Who is the author of this book? A: The book is authored by Matthew L. Jockers, who is known for his expertise in computational text analysis.
  • Q: What is the condition of the book? A: The book is listed in 'Acceptable' condition, which may include signs of wear but is still functional and readable.
  • Q: How many pages does the book have? A: The book consists of 210 pages.
  • Q: When was 'Text Analysis with R for Students of Literature' published? A: It was published on July 3, 2014.
  • Q: Is this book suitable for beginners in text analysis? A: Yes, the book is designed to be accessible for beginners, providing step-by-step guidance through various techniques and processes.
  • Q: What type of binding does the book have? A: The book is available in hardcover binding.
  • Q: Are there any practice exercises included? A: Yes, each chapter concludes with practice exercises that reinforce and expand upon the lessons learned.
  • Q: What category does this book fall under? A: The book is categorized under 'Mathematical & Statistical', making it relevant for those interested in quantitative methods.

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