Repository of the Turing Data Study Group: Discovering topics and trends in the UK Government Web Archive (UKGWA)

This repository contains all code written during The Alan Turing Institute Data Study Group 'Discovering topics and trends in the UK Government Web Archive (UKGWA)', in collaboration with The National Archives (TNA). This repository is a companion to the published(coming) report of the same name.

While the code helps getting a better understanding of the implementations of the ideas described in the report, it is important to remember that it was written in a handful of days (and nights 😴) by a group of people that never met before. All errors are due to the lack of sleep, while all cool ideas have emerged thanks to the support (and the free ☕) of the Turing.

Authors

• David Beavan, The Alan Turing Institute
• Fazl Barez, University of Edinburgh
• Mark Bell, The National Archives, UK
• John Fitzgerald, University of Oxford
• Konrad Kollnig, University of Oxford
• Federico Nanni, The Alan Turing Institute
• Tariq Rashid, Digital Dynamics
• Sandro Sousa, Queen Mary University of London
• Tom Storrar, The National Archives, UK
• Kirill Svetlov, Saint Petersburg State University
• Leontien Talboom, The National Archives, UK and University College London
• Aude Vuilliomenet, University College London