Convenor: Liz Stevenson, CDH Methods Fellow 2024–25
Are you a humanities researcher or scholar with no coding experience who would like to begin using digital analysis tools productively, manageably, and in a way that meets your needs?
Come and join one of the limited places to create a toolbox of basic text mining skills and methods that you can apply to your own humanities research and a simple but clear understanding of online resources with which you can do this, such as
- EEBO
- Github
- The R Graph Gallery
and coding languages and workspaces like
- R
- R Studio
We will cover the underlying basic theory and philosophy behind text mining, and then equip you with the commands you need to perform tasks such as authorship attribution and statistical analyses of literary materials. This will include the basic creation of topic models, and execution of word frequency analyses, along with other similar methods of investigation.
You will leave with the coding tools to create simple but attractive visualisations and graphs of your results.
This workshop is part of our Methods Fellowship programme, which develops and delivers innovative teaching in digital methods. You can read more about the programme here and view the complete series of workshops here.
