{"id":19162795,"url":"https://github.com/centre-for-humanities-computing/semantic-kernel","last_synced_at":"2026-06-19T19:03:43.447Z","repository":{"id":99222891,"uuid":"229910134","full_name":"centre-for-humanities-computing/Semantic-Kernel","owner":"centre-for-humanities-computing","description":"Tool for building and visuaulizing neural concept graphs","archived":false,"fork":false,"pushed_at":"2020-04-22T08:42:08.000Z","size":21,"stargazers_count":1,"open_issues_count":0,"forks_count":1,"subscribers_count":0,"default_branch":"master","last_synced_at":"2026-01-26T22:15:19.598Z","etag":null,"topics":["digital-humanities","information-retrieval","research-tool"],"latest_commit_sha":null,"homepage":"","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/centre-for-humanities-computing.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE.md","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}},"created_at":"2019-12-24T09:12:03.000Z","updated_at":"2023-10-06T20:31:29.000Z","dependencies_parsed_at":null,"dependency_job_id":"91e9fa65-c90a-45ae-8b8d-f40e3af5b488","html_url":"https://github.com/centre-for-humanities-computing/Semantic-Kernel","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/centre-for-humanities-computing/Semantic-Kernel","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/centre-for-humanities-computing%2FSemantic-Kernel","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/centre-for-humanities-computing%2FSemantic-Kernel/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/centre-for-humanities-computing%2FSemantic-Kernel/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/centre-for-humanities-computing%2FSemantic-Kernel/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/centre-for-humanities-computing","download_url":"https://codeload.github.com/centre-for-humanities-computing/Semantic-Kernel/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/centre-for-humanities-computing%2FSemantic-Kernel/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":34544413,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-26T15:22:16.424Z","status":"online","status_checked_at":"2026-06-19T02:00:06.005Z","response_time":61,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"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":["digital-humanities","information-retrieval","research-tool"],"created_at":"2024-11-09T09:13:11.016Z","updated_at":"2026-06-19T19:03:43.424Z","avatar_url":"https://github.com/centre-for-humanities-computing.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Semantic Kernel - Visualization of Neural Concept Graphs #\n\nSemantic kernel trains neural embeddings of a plain text data set either as vanilla texts or tabular data, and generate a conceptual graph based on a query list. The graph is hierarchical such that the first level consists of the $m$ strongest associated terms with the query list (displayed in caps), and the second level consists of the $n$ strongest associated terms with the first level.   \n\n\n## Getting Started\n\nThese instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.\n\n### Prerequisites\n\nFor running in virtual environment (recommended) and assuming python3.6+ is installed.\n\n```\nsudo pip3 install virtualenv\nvirtualenv -p /usr/bin/python3.6 nuke\nsource nuke/bin/activate\n```\n\n### Installing\n\nClone repository and install requirements\n\n```\ngit clone https://github.com/centre-for-humanities-computing/Semantic-Kernel.git\npip install requirements.txt\n```\n\nTo run train model and generate graph\n\n```\n./main.sh\n```\n\n## Running the tests\n\nExplain how to run the automated tests for this system\n\n### Break down into end to end tests\n\ntest that neural embeddings are trained by `semantic_vect`\n```\n./test.sh\n```\n\n### And coding style tests\n\nExplain what these tests test and why\n\n```\nGive an example\n```\n\n## Deployment\n\nAdd additional notes about how to deploy this on a live system\n\n## Built With\n\n\n## Contributing\n\n\n## Versioning\n\n\n## Authors\nKristoffer L. Nielbo\n\n## License\n\nThis project is licensed under the MIT License - see the [LICENSE.md](LICENSE.md) file for details\n\n## Acknowledgments\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcentre-for-humanities-computing%2Fsemantic-kernel","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fcentre-for-humanities-computing%2Fsemantic-kernel","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcentre-for-humanities-computing%2Fsemantic-kernel/lists"}