The gen_count function is a really helpful function for
those who may not necessarily want to generate a score based on the
Gendered Language Dictionary in Roberts and Utych (2019).
Rather, the function will enable you to simply count the occurances of a
word in your supplied text with that of the dictionary along with the
corresponding score of that word in the Dicitionary and whether it would
be classified as Masculine, Neutral, or Feminine as according to Robert
and Utych’s (2019)
definition in the original paper.
First, you should supply some text as a string to the function. Then,
once you execute the function, it should return a
data.frame with 4 columns: the word that was matched, the
count of occurances the word appeared in your supplied text, the score
of that word according to the dictionary, and the classification of the
word.
Here is an example of how that function works.
# Load the package
library(genCountR)
# Pass a string to be analyzed
str <- "This person was a hero. They were a prisoner of war and I, as President, got them out."
# Use the gen_count() function on the str
gen_count(str)
#> word count score classified
#> 1 hero 1 5.615385 Masculine
#> 2 prisoner 1 5.272727 Neutral