embedplyr: Tools for Working With Text Embeddings

embedplyr: Tools for Working With Text Embeddings - Published in JOSS (2025)

https://github.com/rimonim/embedplyr

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: 7 months ago · JSON representation

JOSS Publication

embedplyr: Tools for Working With Text Embeddings
Published
November 10, 2025
Volume 10, Issue 115, Page 8262
Authors
Louis Teitelbaum ORCID
Ben-Gurion University of the Negev, Israel
Editor
Britta Westner ORCID
Tags
natural language processing embeddings word embeddings sentiment analysis psychology

Issues and Pull Requests

Last synced: 9 months ago

All Time
  • Total issues: 7
  • Total pull requests: 1
  • Average time to close issues: 2 months
  • Average time to close pull requests: N/A
  • Total issue authors: 1
  • Total pull request authors: 1
  • Average comments per issue: 0.86
  • Average comments per pull request: 0.0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 7
  • Pull requests: 1
  • Average time to close issues: 2 months
  • Average time to close pull requests: N/A
  • Issue authors: 1
  • Pull request authors: 1
  • Average comments per issue: 0.86
  • Average comments per pull request: 0.0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • cmaimone (7)
Pull Request Authors
  • rimonim (1)
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