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Damegender: Writing and Comparing Gender Detection Tools

EasyChair Preprint no. 3288, version 1

Versions: 12history
9 pagesDate: April 28, 2020


The gender detection from a name is useful to make gender studies from
social networks, mailing lists, software repositories, papers,
etc. These studies are required to measure the gender gap and to find
solutions to reduce it.

Nowadays, there are several Application Programming Interfaces to
guess gender from a name. This kind of software has the database
based on propietary databases and the software is not free, so some
scientific works are difficult to reproduce

In this paper, we are envisioning how to solve these problems,
offering a tool with a free license to use and compare these
apis. This tool provides Machine Learning to predict strings, that's
useful to guess diminutives or nicknames.

Keyphrases: gender detection tool, gender gap, software repositories

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {David Arroyo Menéndez},
  title = {Damegender: Writing and Comparing Gender Detection Tools},
  howpublished = {EasyChair Preprint no. 3288},

  year = {EasyChair, 2020}}
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