Digital Humanities Lab: New approaches, machine learning and social media

New sources and new computational methods are helping researchers think about text and information in new ways.

In this webinar Classics, Digital Humanities and Mathematics researchers will talk about their use of social media, machine learning, and sometimes both, to understand authorship, information flow and communications.

Ben Nagy, University of Adelaide, discussing his projects applying computational stylometry to detect authorship in Latin poetry;

Xinyuan Xu, Research School of Humanities and the Arts at the Australian National University, who is exploring the use of machine learning and natural language processing techniques to automatically detect suicide ideation in the online environment, and understanding of grief as it manifests online; and

Associate Professor Lewis Mitchell, School of Mathematical Sciences, is developing new mathematical and statistical methods to understand information flow in social networks.