Following a similar format to the 2021 workshop, the course is a gentle introduction to R for text analysis. Over the course of two sessions you will be taught the basics of the powerful programming language before being provided with hands-on experience analysing long-form text in the RStudio development environment.
Attendance at both sessions is required, registering for 29 November will automatically enrol you on the second session.
Part 1 - 29 November 2022, 10am-12pm
During the first part of the course participants will be introduced to the R programming language and the RStudio development environment. You will learn how to prepare a text for analysis using R, and will begin analysing that text.
Part 2 - 6 December, 10am-2pm
In Part 2, you will continue with your text analysis, learning how to visualise and explain results. Visualisations will take the forms of customisable plots and word clouds.
By the end of the course, you will be able to:
- Navigate the RStudio development environment
- Prepare a long-form prose text for computational analysis using R
- Conduct basic computational analyses of long-form prose texts
- Construct and explain visualisations of computed results
- Critically apply computational text analysis to complement other analytical methods
To complete this course you will need to install:
R version 3.6 or higher (download at https://www.r-project.org)
RStudio Desktop: Open Source Edition 1.2 or higher (download at https://posit.co/download/rstudio-desktop )
You will be provided with a sample public-domain text corpus to analyse during the course. However, you are welcome to use your own corpus in .txt format.
It presumes no previous knowledge or use of R.
About the Instructor
Dr Leah Henrickson is a Lecturer in Digital Media at the University of Leeds. Her current research projects use theoretical frameworks and empirical methods to investigate the social and literary implications of textual technologies, commercial and community applications of digital storytelling, and social perceptions of artificial intelligence. Her book Reading Computer-Generated Texts was recently published by Cambridge University Press.
As part of the application process, you will be asked to provide a brief explanation of how attending this workshop will benefit your research. You may find it useful to write this piece before attempting to register for the event.
After the application deadline has passed, submissions will be considered, and successful applicants will be offered a place by e-mail. This process will help to ensure that each of the N8 universities are represented at, and benefit from the course.
As this is a repeat of the 2021 and March 2022 sessions, previous attendees need not apply. This will enable us to ensure the workshop reaches as many people as possible.
This event is only open to those working or studying at one of the N8 universities. When applying, please use your academic (.ac.uk) e-mail address to help confirm your eligibility.