gender is an R library to guess gender given a name and is part of a data enrichment suite.
library('devtools')
install_github('cassiopagnoncelli/genderguess')
A call
> # As JSON
> gender('{"names":[
"Cássius P4GN0NC3LL1 ",
"g4BRIéL Francysco",
"EduArda Kart",
"Geyzebel SanThiago Cardoso",
"JULIAN CERRANO DaLLAsha",
" Pritham-Kumar Bora Bora",
"NAARA Katheline Cilva",
"SaMAnTa Fyorrentin"
]}')
would fetch a response
["m","m","f","f","m","m","f","f"]
gender is a machine learning model for classifying names as either male or female. It works fine for Brazilian names and comes along with a names database, albeit it is more general and could be deployed for purposes other than national names.
This model is a two-tier layer casting a voters-judge architecture.
Depending on machine conditions performance accrued from bulk calls can be over a few thousands classified instances.
As per independent calls classifier shows its overhead, hence it is recommended to prepare calls for bulk classification.
Package can be deployed as
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