Researchers in the social sciences and beyond are dealing more and more with massive quantities of text data requiring analysis, from historical letters to the constant stream of content in social media. Traditional texts on statistical analysis have focused on numbers, but this book will provide a practical introduction to the quantitative analysis of textual data. Using up-to-date R methods, this book will take readers through the text analysis process, from text mining and pre-processing the text to final analysis. It includes two major case studies using historical and more contemporary text data to demonstrate the practical applications of these methods. Currently, there is no introductory how-to book on textual data analysis with R that is up-to-date and applicable across the social sciences. Code and a variety of additional resources to enrich the use of this book are available on an accompanying website. These resources include data files from the 39th Congress, and also the collection of tweets of President Trump, now no longer available to researchers via Twitter itself.

About the Author
JOHANNES LEDOLTER has professorships in both the Business School, where he is Robert Thomas Holmes Professor of Business Analytics, and in the Department of Statistics and Actuarial Science at the University of Iowa. He is a Fellow of the American Statistical Association and the American Society for Quality, and Elected Member of the International Statistical Institute. He is the author of several books, including Statistical Methods for Forecasting, Introduction to Regression Modeling, Testing 1-2-3: Experimental Design with Applications in Marketing and Service Operations, and Data Mining and Business Analytics with R. He was Professor of Statistics at the Vienna University of Economics and Business from 1997 to 2015, and held visiting professorships at Princeton, Yale, Stanford and the University of Chicago. Since 2011, he has been Associate Investigator at the Center for Prevention and Treatment of Vision Loss at the Iowa City VA Health Care System, which studies optic nerve and retinal disorders in relation to traumatic brain injury. Professor Ledolter enjoys working on multi-disciplinary projects that involve both numeric and text information. LEA VANDERVELDE is Josephine Witte Professor of Law at the University of Iowa. She is an award-winning author in the fields of law and legal history. She is the author of several casebooks, dozens of articles in the nation's leading law journals, and two historical works, Mrs. Dred Scott and Redemption Songs: Suing for Freedom before Dred Scott. She has been the Guggenheim Fellow for Constitutional Studies and the May Brodbeck Humanities Fellow, and has held visiting professorships at Yale, the University of Pennsylvania, and the American Bar Foundation. She is director of the RAOS project, Reconstruction Amendment Optical Scanning, and principle investigator of the Law of the Frontier project at Stanford's CESTA. She had given professional lectures all over the world.

Reviews
The authors balance sophisticated analysis in R with the fundamentals of text mining so that all readers can understand and apply to their own analysis of text data. -- Matthew Eshbaugh-Soha
If you have a little experience with R, Ledolter and Vandervelde have created an accessible book for learning to analyze text. They provide a scaffolded experience with concrete examples and access to the text and code. They also provide technical information for those interested in a deeper dive of the material. Readers will feel comfortable analyzing their own text as they use the provided material and progress through the book. I will be adding this book to my applied practicum course. -- James B. Schreiber



Book Information
ISBN 9781544390000
Author Johannes Ledolter
Format Paperback
Page Count 192
Imprint SAGE Publications Inc
Publisher SAGE Publications Inc
Weight(grams) 240g