Gender Detection from the Name
A toolkit to measure gender gap in mailing lists, csv files, articles in newspapers, git repositories, ... Giving a new solution to detect gender from first names. So, we have developed the maths related to this task in python code, collected a lot of datasets with free licenses released from statistical institutions and we are doing experiments with machine learning to guess nicknames, new names, diminutives, ...
David Arroyo Menéndez
29 November 2021
Leaders and contributors
|David Arroyo Menéndez (Davidam)||Developer|
Resources and communication
|Developers||VCS Repository Webview||https://github.com/davidam/damegender|
|Required to use||python interpreter|
|Required to use||https://pypi.org/project/json2html|
|Required to use||https://pypi.org/project/unidecode|
|Required to use||https://pypi.org/project/scikit-learn|
|Required to use||https://pypi.org/project/matplotlib|
|Required to use||https://pypi.org/project/requests/|
|Required to use||https://pypi.org/project/Markdown/|
|Required to use||https://pypi.org/project/genderize|
|Required to use||https://pypi.org/project/newspaper3k|
|Required to use||https://pypi.org/project/nltk/|
|Required to use||https://pypi.org/project/pandas|
|Required to use||https://pypi.org/project/scipy/|
|Required to use||https://pypi.org/project/lxml|
|Required to use||https://pypi.org/project/numpy/|
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