The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

gen_count

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

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.