Jabberwocky is a toolkit for NLP and ontologies. Since we all know ontologies are nonsense.
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.
Within each directory, there is a file params_*.py which users can edit.
This means users shouldn't need to edit the main/primary script.
Check the individual READMEs for parameter information.
Check requirements.py for a list of packages and versions.
Information on versions, see the Changelog (ordered by newest first).
Please read the Contributing Guidelines.
- @majensen set up automated testing w/
pytestin v1.0 - see pull request #13 for more details
The license is MIT and so users only need to cite (below) if using.
@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 🐉
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