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Open Source Science

https://github.com/alan-turing-institute/smelly-london

Code for the Natural Language Processing part of the Smelly London project

https://github.com/alan-turing-institute/smelly-london

Science Score: 33.0%

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

  • ○
    CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ○
    .zenodo.json file
  • ○
    DOI references
  • ✓
    Academic publication links
    Links to: zenodo.org
  • ✓
    Committers with academic emails
    2 of 3 committers (66.7%) from academic institutions
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (3.9%) to scientific vocabulary
Last synced: 11 months ago · JSON representation

Repository

Code for the Natural Language Processing part of the Smelly London project

Basic Info
  • Host: GitHub
  • Owner: alan-turing-institute
  • License: mit
  • Language: Python
  • Default Branch: master
  • Size: 619 KB
Statistics
  • Stars: 2
  • Watchers: 5
  • Forks: 0
  • Open Issues: 1
  • Releases: 0
Created almost 9 years ago · Last pushed over 6 years ago
Metadata Files
Readme License

README.md

Smelly London distributional semantics code

DOI

Code for the analysis of the concept of smell in the Medical of Health Reports from London.

For details, see McGregor, Stephen, and McGillivray, Barbara (2018). A Distributional Semantic Methodology for Enhanced Search in Historical Records: A Case Study on Smell. In Proceedings of KONVENS 2018, Vienna, Austria. (https://www.oeaw.ac.at/fileadmin/subsites/academiaecorpora/PDF/konvens18_01.pdf)

The evaluation.Rmd script contains the code for the evaluation written by Barbara McGillivray. The folder "modelling" contains the code for the semantic models by Stephen McGregor.

Owner

  • Name: The Alan Turing Institute
  • Login: alan-turing-institute
  • Kind: organization
  • Email: info@turing.ac.uk

The UK's national institute for data science and artificial intelligence.

GitHub Events

Total
  • Issues event: 1
Last Year
  • Issues event: 1

Committers

Last synced: 12 months ago

All Time
  • Total Commits: 22
  • Total Committers: 3
  • Avg Commits per committer: 7.333
  • Development Distribution Score (DDS): 0.455
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Barbara McGillivray b****y@t****k 12
masteradamo s****r@h****m 8
Stephen McGregor s****r@q****k 2
Committer Domains (Top 20 + Academic)
qmul.ac.uk: 1 turing.ac.uk: 1

Issues and Pull Requests

Last synced: 12 months ago

All Time
  • Total issues: 0
  • Total pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Total issue authors: 0
  • Total pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
  • mhauru (1)
Pull Request Authors
Top Labels
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