This repository is a companion for the workshop conducted at the 19th Congress of the International Society for Folk Narrative Research related to the topic Digital Approaches in Narrative Research: Opportunities and Challenges. The workshop is intended for a beginner audience of folklorists who are interested in learning about the use of data science tools to analyze folktale texts, types, and motifs using the trilogy
ensemble of datasets. For this workshop, we will be using the R
statistical programming language, as well as Git
to share code. Please read the following instructions in preparation for your attendance at the workshop.
Note: If you run into issues or have questions during the installation of the necessary software and packages, please file an issue here describing your question so that I can update the documentation to help you and other potential attendees. Excited for our time together in Riga!
Please complete the following steps prior to attending the workshop, in order to assure that you will be able to meaningfully participate without encountering technical issues. We will not have time during the workshop to troubleshoot technical installation issues on individual users' machines. The setup will likely take about 30 minutes, so be sure to give yourself enough time:
Set up GitHub and make a local fork of this repository
{your_username}/trilogy_workshop
Set up the RStudio environment
install.packages(c("tidyverse","rmarkdown","bslib","tidytext","textdata","tidygraph","visNetwork","revealjs","plotly","reactable","quanteda","UpSetR","patchwork"))
trilogy_workshop.Rproj
file.We'll be going through:
Hagedorn, J. (2023). trilogy: Reference datasets for myth and folktale motifs [Software]. GitHub. https://github.com/j-hagedorn/trilogy
Hagedorn, J., & Darányi, S. (2022). Bearing a Bag-of-Tales: An Open Corpus of Annotated Folktales for Reproducible Research. Journal of Open Humanities Data, 8(0), 16. doi.org/10.5334/johd.78
Eklund, J., Hagedorn, J. & Darányi, S. (2023). Teaching Tale Types to a Computer: A First Experiment with the Annotated Folktales Collection. Fabula, 64(1-2), 92-106. doi.org/10.1515/fabula-2023-0005
Presenter and repository author is not liable for any issues which result from the downloading of software or use of code on either a personal or organizational device.