Introduction to text mining in R (tidyverse)

Used in the´Introduction to Digital Humanities course in Rīgas Tehniskā universitāte, April 2019.

Compiled by Peeter Tinits (CC-BY-4.0)

Installation

To participate in the workshop you need to first install the following software.

1. Install R: https://cran.rstudio.com/If
   • In Windows: https://cran.rstudio.com/bin/windows/base/
   • In Mac: https://cran.rstudio.com/bin/macosx/
2. Install RStudio: https://www.rstudio.com/products/rstudio/download/

Downloading the files

1. Click on the download .zip link in the top right green button, or follow this link: https://github.com/peeter-t2/TM-RigaApr2019/archive/master.zip
2. Unpack the files where you want them.

Downloading the files via git

1. Install Git: https://git-scm.com/book/en/v2/Getting-Started-Installing-Git
2. Navigate to the folder where you want to keep the files, e.g. the downloads folder.
3. Run git
4. type "git clone https://github.com/peeter-t2/TM-RigaApr2019.git"

Next

Wait for instructions. :)

Homework

Start assembling an overview of available corpora or text collections on your interests. Public spreadsheet here

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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.