Quantitative Intertextuality: Analyzing the Markers of Information Reuse

This book introduces quantitative intertextuality, a new approach to the algorithmic study of information reuse in text, sound and images. Employing a variety of tools from machine learning, natural language processing, and computer vision, readers will learn to trace patterns of reuse across diverse sources for scholarly work and practical applications.

The respective chapters share highly novel methodological insights in order to guide the reader through the basics of intertextuality. I...