Matthew Sillence's Projects
Python scripts to analyze the composition of academic abstracts for doctoral thesis using NLTK.
Using transcribed references to material culture and locations found in letters between antiquarians to examine the patterns of interest in cultural heritage. Analysis involved geocoding place names mentioned in letters for further analysis using ArcGIS.
Using OCR data from digitised books to extract personal and institutional names and associations as a basis for social network analysis.
This repository contains Python scripts for retrieving, and preparing relevant lines of text from digitized books on archive.org
This repository contains guidance on using a Python script to extract relevant publications from new article alert e-mails in text format. The script can be tailored to an individual's own criteria and search terms. It is run on the raw text of e-mails that have been exported to a single file from Microsoft Outlook.
A repository for teaching materials used on the Arts and Humanities in the Digital Age programme, run by the Consortium for Humanities and the Arts South-East England (CHASE).
Python scripts and resources for extracting text from a range of educational policy documents.
A robot powered training repository :robot:
✨ Build a beautiful and simple website in literally minutes. Demo at https://beautifuljekyll.com
A web scraper for lists of postgraduate funding opportunities in the arts and humanities.
Datasets produced between 2005 and 2009 for an Arts and Humanities Research Council project on seal designs for cardinals 1378-1533.
This is an open educational resource based on the the course materials created by the University of Edinburgh, released under CC-BY licence. The module is being adapted from this resource for the Personal and Professional Development programme at the University of East Anglia, and will be available in late autumn 2023.
A machine learning process using TensorFlow based on the image collections of the author W. G. Sebald.