{"id":18244005,"url":"https://github.com/rybesh/dth-topics","last_synced_at":"2026-02-11T06:34:18.452Z","repository":{"id":66852260,"uuid":"144592417","full_name":"rybesh/dth-topics","owner":"rybesh","description":"topic modeling the Daily Tar Heel","archived":false,"fork":false,"pushed_at":"2020-07-08T17:29:21.000Z","size":8699,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":2,"default_branch":"master","last_synced_at":"2025-08-31T12:30:47.372Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"HTML","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/rybesh.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"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":"2018-08-13T14:38:00.000Z","updated_at":"2020-07-08T17:29:23.000Z","dependencies_parsed_at":"2023-02-21T05:00:44.858Z","dependency_job_id":null,"html_url":"https://github.com/rybesh/dth-topics","commit_stats":{"total_commits":33,"total_committers":2,"mean_commits":16.5,"dds":"0.030303030303030276","last_synced_commit":"b050033a12783cb64be28fc0419aee077e1dd165"},"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/rybesh/dth-topics","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rybesh%2Fdth-topics","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rybesh%2Fdth-topics/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rybesh%2Fdth-topics/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rybesh%2Fdth-topics/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/rybesh","download_url":"https://codeload.github.com/rybesh/dth-topics/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rybesh%2Fdth-topics/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":29328261,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-02-11T06:13:03.264Z","status":"ssl_error","status_checked_at":"2026-02-11T06:12:55.843Z","response_time":97,"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":[],"created_at":"2024-11-05T09:04:32.567Z","updated_at":"2026-02-11T06:34:18.436Z","avatar_url":"https://github.com/rybesh.png","language":"HTML","funding_links":[],"categories":[],"sub_categories":[],"readme":"## Requirements\n\n* [make](https://www.gnu.org/software/make/)\n* [git](https://git-scm.com/book/en/v2/Getting-Started-Installing-Git)\n* [ant](https://ant.apache.org/manual/install.html)\n* [pup](https://github.com/EricChiang/pup#install)\n\n`make` comes standard on Unix systems including MacOS; on Windows it will need to be installed. The other programs will need to be installed according to the instructions linked above.\n\n\n## Usage\n\nClone this repository:\n```\ngit clone git@github.com:rybesh/dth-topics.git\n```\n\nAll commands must be run from the `dth-topics` directory:\n```\ncd dth-topics\n```\n\nTo download OCR data for newspaper pages from the Digital NC Daily Tar Heel archive:\n```\nmake ocr\n```\n\nTo install [MALLET](http://mallet.cs.umass.edu) and use it to train topic models on the OCR data:\n```\nmake models\n```\n\nTo create visualizations of the topic models:\n```\nmake viz\n```\n\nTo view the visualizations for the _n_-topics model (e.g. 10-topics, 100-topics), open `viz/`_n_`-topics/viz.html`.\n\nTo create lists of the top (most closely associated) documents for each topic:\n```\nmake top\n```\n\nTo view the top documents per topic for the _n_-topics model (e.g. 10-topics, 100-topics), open `viz/`_n_`-topics/topdocs.html`.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frybesh%2Fdth-topics","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Frybesh%2Fdth-topics","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frybesh%2Fdth-topics/lists"}