The text and slides of my presentation to the DH2016 conference, Kraków, July 11 - 16, 2016.
The text and slides of my presentation to the DH2016 conference, Kraków, July 11 - 16, 2016.
With the approval of the Old Bailey Online team, I’m happy to report that the full dataset of the Old Bailey Online can be downloaded here: http://www.math.canterbury.ac.nz/~r.sainudiin/datasets/public/OldBailey/. More sources for the data are expected to follow but this seems a nice way to build on the work underway in New Zealand.
Video: This panel discussion of Eric T. Meyer and Ralph Schroeder's Knowledge Machines: Digital Transformations of the Sciences and Humanities (M.I.T. Press, 2015) occured on January 27th, 2016 at the University of Oxford. It was part of the TORCH Books at Lunchtime Series, and associated with the Oxford Internet Institute.
Video: This is a video of my contribution to the workshop 'The Frontiers of DH: Humanities Systems Infrastructure', presented by the UC Digital Humanities Programme during November 2015. See also Prof. Paul Arthur: Smart Infrastructures for Cultural and Social Research, Prof. Alan Liu: Against the Cultural Singularity, and (earlier in the month) Dr. Tim Sherratt: Towards A Manifesto for Tactical DH Research Infrastructure.
https://www.mashape.com/ offers Application Programming Interfaces (APIs) that perform common text analysis tasks, including the one we’ll use for this tutorial: Named Entity Recognition (NER). Text analysis is a good way to introduce students to data mining. You can use text documents, or a URL.