Jabberwocky
Jabberwocky: an ontology-aware toolkit for manipulating text - Published in JOSS (2020)
Science Score: 93.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
✓DOI references
Found 7 DOI reference(s) in README and JOSS metadata -
✓Academic publication links
Links to: joss.theoj.org -
○Committers with academic emails
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○Institutional organization owner
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✓JOSS paper metadata
Published in Journal of Open Source Software
Keywords
Scientific Fields
Repository
NLP toolkit for those nonsensical ontologies
Basic Info
- Host: GitHub
- Owner: sap218
- License: mit
- Language: Python
- Default Branch: master
- Homepage: https://sap218.github.io/jabberwocky/
- Size: 925 KB
Statistics
- Stars: 16
- Watchers: 1
- Forks: 1
- Open Issues: 0
- Releases: 4
Topics
Metadata Files
README.md
Jabberwocky
Jabberwocky is a toolkit for NLP and ontologies. Since we all know ontologies are nonsense.
Functionality
Read the documentation for more detail.
script | description
------- | -----------
bandersnatch | extract metadata from ontology classes
catch | annotate corpus with key terms & generate wordcloud
bite | rank terms in order of importance & bar plot
arise | update ontology with new metadata
eyes | plot an ontology via web or tree format
When combining these Jabberwocky functions, users can create an NLP workflow.
Running
Within each directory, there is a file params_*.py which users can edit.
Meaning users shouldn't need to edit the main/primary script.
Check the individual directory READMEs for parameter information.
Prerequisites
Check requirements.py for a list of packages and versions.
Changelog / Version
See the Changelog (ordered by newest first).
Contributing / Issues
Please read the Contributing Guidelines.
- @majensen set up automated testing w/
pytestin v1.0 - see pull request #13 for more details
License
The license is MIT and so users only need to cite (below) if using.
Citing
@article{Pendleton2020,
doi = {10.21105/joss.02168},
url = {https://doi.org/10.21105/joss.02168},
year = {2020},
publisher = {The Open Journal},
volume = {5},
number = {51},
pages = {2168},
author = {Samantha C. Pendleton and Georgios V. Gkoutos},
title = {Jabberwocky: an ontology-aware toolkit for manipulating text},
journal = {Journal of Open Source Software}
}
The poem, Jabberwocky, written by Lewis Carrol, is described as a "nonsense" poem :dragon:
End of page
Owner
- Name: Samantha C Pendleton
- Login: sap218
- Kind: user
- Location: UK
- Company: University of Oxford
- Website: sap218.github.io
- Twitter: sap218
- Repositories: 2
- Profile: https://github.com/sap218
Data Wrangler / Data Scientist | ML, NLP, ontologies | PhD
JOSS Publication
Jabberwocky: an ontology-aware toolkit for manipulating text
Authors
Institute of Cancer and Genomic Sciences, University of Birmingham, UK, University Hospitals Birmingham NHS Foundation Trust, UK
Institute of Cancer and Genomic Sciences, University of Birmingham, UK, University Hospitals Birmingham NHS Foundation Trust, UK
Editor
Mark A. Jensen
Tags
Ontologies TextGitHub Events
Total
- Release event: 1
- Delete event: 1
- Push event: 10
- Pull request event: 4
- Create event: 3
Last Year
- Release event: 1
- Delete event: 1
- Push event: 10
- Pull request event: 4
- Create event: 3
Committers
Last synced: 5 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| Samantha C Pendleton | s****c@g****m | 62 |
| Samantha | s****e@o****m | 60 |
| Mark A. Jensen | m****t@f****s | 1 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 4 months ago
All Time
- Total issues: 13
- Total pull requests: 7
- Average time to close issues: 15 days
- Average time to close pull requests: about 5 hours
- Total issue authors: 2
- Total pull request authors: 2
- Average comments per issue: 1.15
- Average comments per pull request: 0.29
- Merged pull requests: 7
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 4
- Average time to close issues: N/A
- Average time to close pull requests: 2 minutes
- Issue authors: 0
- Pull request authors: 1
- Average comments per issue: 0
- Average comments per pull request: 0.0
- Merged pull requests: 4
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- sap218 (10)
- balhoff (3)
Pull Request Authors
- sap218 (7)
- majensen (1)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 1
- Total downloads: unknown
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 2
proxy.golang.org: github.com/sap218/jabberwocky
- Documentation: https://pkg.go.dev/github.com/sap218/jabberwocky#section-documentation
- License: mit
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Latest release: v3.2.0+incompatible
published 8 months ago
Rankings
Dependencies
- BeautifulSoup4 *
- click *
- lxml *
- matplotlib *
- pandas *
- pytest *
- scikit-learn *
- spacy *