Text Data Mining

This book offers an introduction to natural language processing, the field that supports a variety of language technologies, from predictive text and email filtering to automatic summarization and translation.

Text Analysis with R provides a practical introduction to computational text analysis using the open source programming language R. Each chapter examines a new technique or process, allowing readers to obtain a broad exposure to core R procedures and a fundamental understanding of the possibilities of computational text analysis at both the micro and the macro scale.

Mapping Texts offers an introduction to computational text analysis with step-by-step guides on how to conduct text analysis workflows in R. The focus is on social science questions and applications.

This book provides an overview of the most common methods for text classification, an intuition of their applicability, and Python code to execute them. It covers the ethical foundations as well as the emerging potential of neural network methods.