R is an open-source programming language and command-based application. This language is a powerful visualization and analysis tool for data. R is primarily used for statistical analysis, so it lends itself well to text mining, particularly using the tm (text mining) package.
The Scholarly Commons has lab computers with both R and RStudio, a user-friendly graphical interface for using R. Researchers are welcome to come in and try the environment to test it out. If you'd like to try R or RStudio on your personal computer, use the links below.
This tutorial by Seth Robins is written as a .R file. You can follow along after you have installed R: https://www.r-project.org/
This library guide s an introduction to R statistical programming language. While this guide does not provide guidance specifically for text mining, it does provide a basic overview of common tasks needed for basic statistics classes and a solid foundation for beginning to program in R. This guide is a great resource for R related questions.