Quantitative Text Analysis Using R | Scraping, Preparing, Visualising and Modelling Data. This item is unavailable.Quantitative Text Analysis Using R | Scraping, Preparing, Visualising and Modelling Data

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. 

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.