Exploring big historical data : the historian's macroscope / Shawn Graham, Carleton University, Canada, Ian Milligan, University of Waterloo, Canada, Scott Weingart, Indiana University, USA.

Includes bibliographical references and index.

The joys of Big Data for historians -- The DH moment -- Text mining tools: techniques and visualizations -- Topic modeling: a hands-on adventure in Big Data -- Making your data legible: a basic introduction to visualizations -- Network analysis -- Networks in practice -- Conclusion.

"The Digital Humanities have arrived at a moment when digital Big Data is becoming more readily available, opening exciting new avenues of inquiry but also new challenges. This pioneering book describes and demonstrates the ways these data can be explored to construct cultural heritage knowledge, for research and in teaching and learning. It helps humanities scholars to grasp Big Data in order to do their work, whether that means understanding the underlying algorithms at work in search engines, or designing and using their own tools to process large amounts of information."--Back cover.