Used in the Text mining in R and reproducible research in Tartu University Summer School in Digital Methods in Humanities and Social Sciences, August 2019.
Compiled by Peeter Tinits (CC-BY-4.0)
Find the workshop description here.
Workshop takes place in three sessions in Lossi 3-406:
- 10:45 – 12:45 Introduction. Basic R, tidyverse & ggplot2.
- 12:45 – 14:00 Lunch break
- 14:00 – 15:30 Text processing in R. Words in text, keywords, sentiments.
- 15:30 – 16:00 Coffee break
- 16:00 – 17:30 Text processing in R. Another dataset. Reproducible markdown.
The computers in the class have all the relevant software installed. If you want to use your own computer, make sure that you have R and RStudio installed in it beforehand.
To install R follow the links here:
- Install R: https://cran.rstudio.com/If
- In Windows: https://cran.rstudio.com/bin/windows/base/
- In Mac: https://cran.rstudio.com/bin/macosx/
- Install RStudio: https://www.rstudio.com/products/rstudio/download/
- Click on the download .zip link in the top right green button, or follow this link: https://github.com/peeter-t2/TM-TartuSummer2019/archive/master.zip
- Unpack the files where you want them.
Wait for instructions. :)
The content of the course materials are licensed under the Creative Commons Attribution 4.0 International license, and the source code used to format and display that content is licensed under the MIT license.