"We shall nobly save, or meanly lose, the last, best hope of earth.”
– Abraham Lincoln
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 Nielsenbing
: Bing, Liu et al.loughran
: Loughran and McDonaldnrc
: Mohammad and Turney
The AFINN
sentiment categorizes words on a negative to positive scale from -5 to +5. The bing
version has a simple binary negative or positive ranking; loughran
provides six different categories including negative
, positive
, and such things as superfluous
. With nrc
, you get five categories such as anger
or trust
. Here is a glance at a few words and associated sentiment...