sweater: Speedy Word Embedding Association Test and Extras Using R

sweater: Speedy Word Embedding Association Test and Extras Using R - Published in JOSS (2022)

https://github.com/chainsawriot/sweater

Science Score: 87.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
  • .zenodo.json file
  • DOI references
    Found 1 DOI reference(s) in JOSS metadata
  • Academic links in README
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
    Published in Journal of Open Source Software
Last synced: 6 months ago · JSON representation

JOSS Publication

sweater: Speedy Word Embedding Association Test and Extras Using R
Published
April 10, 2022
Volume 7, Issue 72, Page 4036
Authors
Chung-hong Chan ORCID
Mannheimer Zentrum für Europäische Sozialforschung, Universität Mannheim
Editor
Sebastian Benthall ORCID
Tags
word embedding implicit bias media bias algorithmic accountability

Issues and Pull Requests

Last synced: almost 3 years ago

All Time
  • Total issues: 31
  • Total pull requests: 10
  • Average time to close issues: about 1 month
  • Average time to close pull requests: about 6 hours
  • Total issue authors: 3
  • Total pull request authors: 2
  • Average comments per issue: 0.87
  • Average comments per pull request: 0.0
  • Merged pull requests: 8
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 2
  • Pull requests: 1
  • Average time to close issues: 2 days
  • Average time to close pull requests: 10 minutes
  • Issue authors: 2
  • Pull request authors: 1
  • Average comments per issue: 1.5
  • Average comments per pull request: 0.0
  • Merged pull requests: 1
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • cmaimone (1)
Pull Request Authors
Top Labels
Issue Labels
Pull Request Labels