The article is titles Gender Prediction Methods Based on First Names with genderizeR is available in the latest issue of the R Journal (Vol. 8/1, Aug. 2016). You can download it here: https://journal.r-project.org/archive/2016-1/wais.pdf . More information about the package and the article you can find also on my homepage. I hope they will be useful in your work!
Category: R package: genderizeR
Recently, I received an email from Jane Summer who is a Ph.D. candidate in the Department of Political Science at Emory University and will be an Assistant Professor in the Department of Political Science at the University of Minnesota. She wrote some nice words about the genderizeR package: Without this package, I never would have been able to implement the algorithm I needed to assess gender […]
As the genderizeR package hit 4 000 downloads from RStudio CRAN mirror I released new version (2.0.00) on the CRAN. It is also available from the GitHub. I also updated the CRAN submission checklist for package developers.
A few people have been asking about the speed of the package, so I have done some speed test using the latest version of the genderizeR package. Without any parallel programming I managed to check 108 023 unique terms through genderize.io API and it took 45 minutes (2 395 term per minute). It probably could be faster in the future versions of the […]