-
Notifications
You must be signed in to change notification settings - Fork 4
ICS02: 8. Introduction to R
Gabriel Bodard edited this page Jan 16, 2019
·
30 revisions
Thursday Feb 28, 16:00 UK = 18:00 EET
Convenors: Christopher Ohge & Gabriel Bodard(University of London)
YouTube link: tba
Slides: tba
This session will introduce will introduce basic programming concepts with the R language. After an introductory lesson on regular expressions, R syntax, and basic R functions, we will use the tidy text library package to perform text analysis tasks.
- (two open access papers)
- Rydberg-Cox, Jeff. Statistical Methods for Studying Literature in R. Available: https://daedalus.umkc.edu/StatisticalMethods/index.html
- Silge, Julia, and David Robinson. Text Mining with R: A Tidy Approach. Available: https://www.tidytextmining.com/. Especially chapters 1–3.
- Jockers, Matthew. Text Analysis with R for Students of Literature (Springer, 2014). Especially Chapters 1, 2, 6, 7, and 11
- Rockwell, G. 'What is Text Analysis, Really?' Literary and Linguistic Computing 18.2 (2003): 209-219. Available: http://www.geoffreyrockwell.com/publications/WhatIsTAnalysis.pdf
- Hawkins, Laura F. 'Computational Models for Analyzing Data Collected from Reconstructed Cuneiform Syllabaries.' Digital Humanities Quarterly 12.1 (2018). Available: http://digitalhumanities.org:8081/dhq/vol/12/1/000368/000368.html
- tba
- tba