Analyzing Textual Information: From Words to Meanings through Numbers

This book provides a practical introduction to the quantitative analysis of textual data using up-to-date R methods. It includes two major case studies and offers code and additional resources on an accompanying website.

Format: Paperback / softback
Length: 192 pages
Publication date: 13 July 2021
Publisher: SAGE Publications Inc

Researchers in the social sciences and beyond are increasingly grappling with vast volumes of text data that demand analysis, ranging from historical letters to the ever-present stream of content in social media. While traditional texts on statistical analysis have primarily focused on numerical data, this book aims to provide a practical introduction to the quantitative analysis of textual data. By utilizing up-to-date R methods, this book will guide readers through the entire text analysis process, from text mining and pre-processing the text to final analysis.

Two comprehensive case studies, utilizing historical and more contemporary text data, are included to demonstrate the practical applications of these methods. Currently, there is a lack of an introductory how-to book on textual data analysis with R that is up-to-date and applicable across the social sciences. To enhance the use of this book, an accompanying website offers code and a variety of additional resources. These resources include data files from the 39th Congress and the collection of tweets of President Trump, which are no longer accessible to researchers directly through Twitter.

By leveraging the power of R and these comprehensive resources, readers will gain the skills and knowledge necessary to effectively analyze textual data and extract valuable insights. This book serves as a valuable resource for social scientists, researchers, and anyone interested in exploring the rich world of textual data analysis.

Weight: 230g
Dimension: 146 x 216 x 13 (mm)
ISBN-13: 9781544390000