Register by email: see below for details
What: Working with digital text: a hands-on introduction to basic computational techniques
When: 10:00—16:30, Thursday 22 and Friday 23 February 2018
Where: Centre for Digital Scholarship, Weston Library (map)
Open to members of the University
Registration is required: please email Emma Stanford with your name, ox.ac.uk email address, department and study/career level
This introductory two-day workshop will help students and researchers get to grips with basic computational analysis methods. It is aimed at an introductory level and will be useful to anyone seeking to work with large amounts of textual data. The workshop builds sequentially on its sessions and attendance at both days is required.
Over two days of demonstrations and hands-on training sessions, the workshop will cover:
- Online text corpora: What’s out there and how to use it
- The surprising amount of text-mining you can do with Microsoft Word, Excel and Notepad
- XML, XPath and XQuery: Textual encoding and getting answers back
- Using statistics to avoid your own gaffes and spot other people’s
- Beginning Python programming for the working with text at scale
Please note that catering is not provided.
The workshop is part of the Travelling Roadshow led by Gabriel Egan, Director of the Centre for Textual Studies at De Montfort University, with funding from the Arts and Humanities Research Council, and is hosted by the Wolfson College Digital Research Cluster and the Bodleian Libraries’ Centre for Digital Scholarship.
NOTE: attendees are requested to bring a laptop with the latest version of Python and oXygen XML Editor. As a member of the University, using your Single Sign-On you can download oXygen and the required licence free of charge, via IT Services’ Software Registration and Download. If you cannot bring a laptop with you, please let us know before the day.
Registration is required as places are limited. The event is open to members of the University of Oxford only.
To register, please email Emma Stanford (email@example.com) with:
- Your name
- Your ox.ac.uk email address
- Your department and study/career level