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Quantitative Text Analysis Using R
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Quantitative Text Analysis Using R
Scraping, Preparing, Visualising and Modelling Data

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296 pages | SAGE Publications Ltd

Grounded in examples from across the social sciences, this book walks you through the process of doing quantitative text analysis step by step. Clear and accessible, it empowers you to progress from beginner level to understanding and using computational social science concepts with ease. Covering key steps in the research process like ethics, data collection and model choice, it helps you develop important research skills – and equips you with the programming tools you need to handle text data without error.

The textbook offers R software guidance at an easy-to-follow pace, the book presents the coding skills you need to collect and prepare data, providing a strong foundation as you move into data analysis. It will:

·       Help you develop key data skills like cleaning, managing, classifying and visualizing data

·       Encourage your ability to be critical and reflective when dealing with data

·       Offer clear guidance on using messy, real-world data and big data from sources like Wikipedia

Supported by practical online resources including extensive coding examples and software guidance, this book will give you confidence in applying your programming skills and enable you to take control of handling textual data in your own research. 

 
Chapter 1: Calculating with Letters
 
Chapter 2: Using R for Text Analysis
 
Chapter 3: Text as Data: Obtaining, Preparing, and Cleaning
 
Chapter 4: Extracting and Visualising Information from Text
 
Chapter 5: Supervised Machine Learning for Text Data
 
Chapter 6: Unsupervised Machine Learning for Text Data
 
Chapter 7: Evaluation and Validation of Quantitative Text Analysis
 
Chapter 8: Using Python within R for QTA
 
Chapter 9: Communicating Text Analysis

Julian Bernauer

Julian Bernauer is a Researcher and permanent Scientific Staff at the Mannheim Centre of European Social Research (MZES), University of Mannheim. His interest in QTA started in 2006, when he wrote a master thesis supervised by Prof. Thomas Bräuninger at the University of Konstanz (where he studied Politics and Public Management) analysing speeches of members of the German parliament. The topic of this research and his doctoral studies at the University of Konstanz (finished in 2012) was political representation of different sorts, and he moved on to lecture and study comparative political institutions as a Postdoctoral Researcher and... More About Author

Anna Wohlmann

Anna Wohlmann is a doctoral candidate at the Technical University of Munich, holding a Master's degree in Politics & Technology from the Technical University of Munich and a Bachelor's degree in Political Science with a minor in Psychology from the University of Mannheim. When introduced to QTA with R in a bachelor-seminar, Anna immediately knew this would be their method of choice. The analysis of social media content created by social movements is the main focus of Annas research.  More About Author