{"id":36480978,"url":"https://github.com/sap218/jabberwocky","last_synced_at":"2026-01-29T02:04:36.846Z","repository":{"id":163363242,"uuid":"227571502","full_name":"sap218/jabberwocky","owner":"sap218","description":"NLP toolkit for those nonsensical ontologies","archived":false,"fork":false,"pushed_at":"2025-10-31T17:41:43.000Z","size":1154,"stargazers_count":16,"open_issues_count":0,"forks_count":1,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-11-13T20:56:48.401Z","etag":null,"topics":["annotation","grep","jabberwocky","metadata","ontology","plotting","python","synonyms","text-mining","textual-data","tfidf"],"latest_commit_sha":null,"homepage":"https://sap218.github.io/jabberwocky/","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/sap218.png","metadata":{"files":{"readme":"README.md","changelog":"Changelog.md","contributing":"Contributing.md","funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null}},"created_at":"2019-12-12T09:43:22.000Z","updated_at":"2025-10-31T17:44:07.000Z","dependencies_parsed_at":"2024-04-29T22:45:48.872Z","dependency_job_id":"9e279a64-98d3-44be-8569-2bab41926ba1","html_url":"https://github.com/sap218/jabberwocky","commit_stats":null,"previous_names":[],"tags_count":4,"template":false,"template_full_name":null,"purl":"pkg:github/sap218/jabberwocky","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sap218%2Fjabberwocky","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sap218%2Fjabberwocky/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sap218%2Fjabberwocky/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sap218%2Fjabberwocky/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/sap218","download_url":"https://codeload.github.com/sap218/jabberwocky/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sap218%2Fjabberwocky/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":28323580,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-01-11T18:42:50.174Z","status":"ssl_error","status_checked_at":"2026-01-11T18:39:13.842Z","response_time":60,"last_error":"SSL_read: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["annotation","grep","jabberwocky","metadata","ontology","plotting","python","synonyms","text-mining","textual-data","tfidf"],"created_at":"2026-01-12T01:01:02.373Z","updated_at":"2026-01-29T02:04:36.834Z","avatar_url":"https://github.com/sap218.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Jabberwocky\n\n[![DOI](https://joss.theoj.org/papers/10.21105/joss.02168/status.svg)](https://doi.org/10.21105/joss.02168) \n\n## Functionality\nJabberwocky is a toolkit for Natural Language Processing (NLP) and **ontologies**. \nRead the [**documentation**](https://sap218.github.io/jabberwocky/) for more detail.\n\n|  | function | description\n| --- | --- | ---\n| 1. | `converter` | convert an excel to an ontology\n| 2. | `snatch metadata` | extract metadata from classes\n| 3. | `catch text` | annotate corpus with key terms/phrases\n| 4. | `rank terms` | rank terms in order of importance\n| 5. | `update entities` | update ontology with new classes and metadata\n| 6. | `ontology plotting` | plot an ontology via web or tree format\n\nWhen combining these Jabberwocky functions, users can create an **NLP** workflow:\n\n![workflow](/docs/workflow.png)\n\n## Running\n+ Within each directory, there is a file `params_*.py` which users can edit, meaning users shouldn't need to edit the main/primary scripts.\n+ Check the individual directory `READMEs` for parameter information.\n+ Tests are done via the `test/` submodule which is the [`CelestialObject`](https://github.com/sap218/CelestialObject) repository, here users can see examples of files.\n\n## Resources\n\n+ **Prerequisites** - check [`requirements.py`](https://github.com/sap218/jabberwocky/blob/master/requirements.py) for a list of packages and versions.\n\n+ **Changelog / Version** - see the [**Changelog**](https://github.com/sap218/jabberwocky/blob/master/Changelog.md) (ordered by newest first).\n\n+ **Contributing / Issues** - please read the [**Contributing Guidelines**](https://github.com/sap218/jabberwocky/blob/master/Contributing.md) also to see past contributors.\n\n+ **License** - this repo is using the [**MIT**](https://github.com/sap218/jabberwocky/blob/master/LICENSE) license so users only need to cite if using (see citation below).\n\n## Citing\n\n```\n@article{Pendleton2020,\n  doi = {10.21105/joss.02168},\n  url = {https://doi.org/10.21105/joss.02168},\n  year = {2020},\n  publisher = {The Open Journal},\n  volume = {5},\n  number = {51},\n  pages = {2168},\n  author = {Samantha C. Pendleton and Georgios V. Gkoutos},\n  title = {Jabberwocky: an ontology-aware toolkit for manipulating text},\n  journal = {Journal of Open Source Software}\n}\n```\n\n## AOB\n\n+ The poem, Jabberwocky, written by Lewis Carrol, is described as a *nonsense* poem :dragon:\n+ You may think, why not use a Large Language Model (LMM)? Well I wrote a blog to compare w/ LLMs and how they overdo simple tasks, [read here](https://sap218.uk/posts/llms/).\n\n***\n\nEnd of page\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsap218%2Fjabberwocky","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsap218%2Fjabberwocky","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsap218%2Fjabberwocky/lists"}