In this section, we'll take a look at the various sentiment options available in tidytext. Then, we'll apply that to a subset of the data before, during, and after the Civil War. To get started, let's explore the sentiments dataset that comes with tidytext:
> table(sentiments$lexicon) AFINN bing loughran nrc 2476 6788 4149 13901
The four sentiment options and researchers associated with them are as follows:
- AFINN: Finn, Arup, and Nielsen
- bing: Bing, Liu et al.
- loughran: Loughran and McDonald
- nrc: Mohammad and Turney
The AFINN sentiment categorizes words on a negative to positive scale from -5 to +5. The bing version has a simple ...