Text-mining the Archive 1

Description

Course leader: Dr Paul Nulty (CRASSH, University of Cambridge)

This session will introduce basic methods for reading and processing text files in Python. We will proceed slowly through an example that demonstrates reading in a large text corpus from structured or unstructured files, basic string processing, word frequency counting, and syntactic analysis. Attendees will learn to perform these tasks in base Python and using the natural language processing library spaCy. No prior knowledge of Python is assumed, but attendees may wish to follow an online guide to configure a python installation in order to follow along with the examples.

Pre-registration is essential: please book here or use the online registration link on this page.  PhD students and staff from the University of Cambridge have priority for bookings on this course – if the course appears fully booked and you fall into this category please contact the course organisers directly.