Description
Quantitative Text Analysis Using R is an essential resource for researchers and data analysts seeking to extract meaningful insights from textual data. The book guides readers through the complete workflow of computational text analysis, from initial data collection through advanced statistical modeling.
Bernauer and Wohlmann cover fundamental techniques including web scraping, data cleaning, and preprocessing, ensuring data quality for subsequent analysis. The authors demonstrate effective visualization strategies to communicate text patterns and distributions clearly. Readers will learn to apply quantitative methods such as sentiment analysis, topic modeling, and statistical inference on text corpora.
With practical R code examples throughout, this text bridges the gap between theoretical concepts and real-world application. Ideal for social scientists, linguists, and data professionals, the book emphasizes reproducible research practices and hands-on learning. Whether you’re analyzing news articles, social media, or academic publications, this guide provides the tools and knowledge needed for rigorous computational text analysis.
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