Advance Gender Prediction Tool of First Names and its Use in Analysing Gender Disparity in Computer Science in the UK, Malaysia and China

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Global gender disparity in science is an unsolved problem. Predicting gender has an important role in analysing the gender gap through online data. We study this problem within the UK, Malaysia and China. We enhance the accuracy of an existing gender prediction tools of names that can predict the sex of Chinese characters and English characters simultaneously and with more precision. During our research, we found that there is no free gender forecasting tool to predict an arbitrary number of names. We addressed this shortcoming by providing a tool that can predict an arbitrary number of names with free requests. We demonstrate our tool through a number of experimental results. We show that this tool is better than other gender prediction tools of names for analysing social problems with big data. In our approach, lists of data can be dynamically processed and the results of the data can be displayed with a dynamic graph. We present experiments of using this tool to analyse the gender disparity in computer science in the UK, Malaysia and China.

Original languageEnglish
Title of host publication2017 International Conference on Computational Science and Computational Intelligence (CSCI)
PublisherIEEE
Pages222-227
Number of pages6
ISBN (Electronic)9781538626528
DOIs
Publication statusPublished - 6 Dec 2018
Event2017 International Conference on Computational Science and Computational Intelligence - Las Vegas, United States
Duration: 14 Dec 201716 Dec 2017

Conference

Conference2017 International Conference on Computational Science and Computational Intelligence
Abbreviated titleCSCI 2017
CountryUnited States
CityLas Vegas
Period14/12/1716/12/17

Keywords

  • Data research
  • Gender disparity
  • Gender prediction of names

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Safety, Risk, Reliability and Quality

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