Analyzing Textual Information
From Words to Meanings through Numbers
- Johannes Ledolter - The University of Iowa, USA
- Lea S. VanderVelde - The University of Iowa, USA
Big Data | Intermediate/Advanced Research Methods | Quantitative Methods | Research Methods & Statistics in Sociology | Research Methods in Mass Communication | Research Methods in Political Science | Research Methods in Political Science | Research Methods in Sociology | Statistics - General Interest |
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.
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.
Sample Materials & Chapters
Chapter 2: A Description of the Studied Text Corpora and A Discussion of Our Mod