A one-hour introduction to text mining in R for the summer research internship at CESTA.

The lesson results in a sentiment analysis of a small corpus, currently the last eight US State of the Union addresses.

Participants need to install two pieces of free software:

1. The R language and interpreter.
2. RStudio, an integrated developer environment for R.

The lesson also depends on several R packages such as tm, which we will install as we go.

Once you have installed both R and RStudio, open RStudio. If you want to test your installation, type the following at the > prompt:

print('hello, world')

If it works, you should see the following:

> print('hello, world')
[1] "hello, world"

Students who are interested in learning more about R may wish to check out some of these books:

• Wickham and Grolemund, R for Data Science
• Long and Teetor, R Cookbook, 2nd Edition

• Jockers, Text Analysis with R for Students of Literature
• Silge, Text Mining with R: A Tidy Approach