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.

workflow

Running

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.

Prerequisites

Check requirements.py for a list of packages and versions.

Changelog

Information on versions, see the Changelog (ordered by newest first).

Contributing

Please read the Contributing Guidelines.

@majensen set up automated testing w/ pytest in 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

sap218 / jabberwocky

readme