Tue, 29 Jul 2014 07:37:03 +0000
Details of this week’s Digital Classicist seminar: Digital Classicist London & Institute of Classical Studies Seminar 2014 Sebastian Rahtz (Oxford) & Gabriel Bodard (King’s College London) Standards for Networking Ancient Prosopographies: Data and Relations in Greco-Roman Names (SNAP:DRGN) Friday August 1st in room G37, Senate House, Malet Street, WC1E 7HU SNAP:DRGN (snapdrgn.net) is an AHRC-funded [...]Read more...
Seminar: Papyrology and Linguistic Annotation: How can we make TEI EpiDoc XML corpus and Treebanking work together?
Mon, 21 Jul 2014 08:11:21 +0000
Details of this week’s Digital Classicist seminar follow: Digital Classicist London & Institute of Classical Studies Seminar 2014 Marja Vierros (Helsinki) ‘Papyrology and Linguistic Annotation: How can we make TEI EpiDoc XML corpus and Treebanking work together?’ Friday July 25 at 16:30 in room G35, Senate House, Malet Street, London, WC1E 7HU Greek documentary papyri [...]Read more...
"Exploring Enlightenment: Text Mining the 18th-Century Republic of Letters", a DH Month talk
Publication date: Mar 27, 2013 5:11:48 PM
Start: Apr 18, 2013 5:30:00 PM
Location: G31, Foster Court
Glenn Roe, Faculty of Medieval and Modern Languages, University of Oxford
The challenge of ‘Big Data’ in the Humanities has led in recent years to a host of innovative technological and algorithmic approaches to the growing digital human record. These techniques—from data mining to distant reading—can offer students and scholars new perspectives on the exploration and visualisation of increasingly intractable data sets in the human and social sciences; perspectives that would have previously been unimaginable. The danger, however, in these kinds of ‘macro-analyses’, is that scholars find themselves increasingly disconnected from the raw materials of their research, engaging with massive collections of texts in ways that are neither intuitive nor transparent, and that provide few opportunities to apply traditional modes of close reading to these new resources. In this talk, I will outline some of my previous work using data mining and machine learning techniques to explore large data sets drawn primarily from the French Enlightenment period. Building upon these past experiences, I will then present my current research project at Oxford, which uses sequence alignment algorithms to identify intertextual relationships between authors and texts in the 18th-century “Republic of Letters.” By reintroducing the notion of (inter)textuality into algorithmic and data-driven methods of macro-anlalysis we can perhaps bridge the gap between distant and close readings, by way of an intermediary mode of scholarship I term ‘directed’ or ‘scalable’ reading.
All are welcome, a drinks reception will follow the talk. Please register as places are limited.
Part of UCL's Digital Humanities Month.
Page last modified on 27 mar 13 17:07 by Sarah Davenport