Textual and Contextual Data Analysis: A Multivariate Statistical Approach using R (Chapman & Hall/CRC Data Science Series)

Multidimensional statistical analysis of textual data is a powerful technique that enables researchers to uncover deeper insights into the context and meaning of documents.This book addresses the challenge of jointly analyzing textual and contextual data, presenting rigorous theoretical foundations alongside practical methodologies.By incorporating metadata and contextual information, readers can extract richer, more nuanced information from textual corpora, making this book an essential resource for statisticians, data scientists, and linguistics experts. The book explores a wide range of textual data, from open-ended survey responses and political speeches to legal texts, literary works, and technical reports.It also examines the diverse contextual variables that shape these texts, such as sociodemographic characteristics, chronology, political affiliations, and external influences.Through real-world examples, readers will learn how to apply exploratory multivariate statistical metho