{"id":41847752,"url":"https://github.com/camel-lab/widh_2020_arabic_text_analysis","last_synced_at":"2026-01-25T10:04:47.896Z","repository":{"id":131318392,"uuid":"234058170","full_name":"CAMeL-Lab/WIDH_2020_Arabic_Text_Analysis","owner":"CAMeL-Lab","description":"Material for the Text Analysis of Arabic course taught at the NYU Abu Dhabi Winter Institute in Digital Humanities 2020.","archived":false,"fork":false,"pushed_at":"2020-01-30T12:35:57.000Z","size":1285,"stargazers_count":13,"open_issues_count":0,"forks_count":5,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-09-09T22:06:40.679Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Jupyter Notebook","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/CAMeL-Lab.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,"zenodo":null,"notice":null,"maintainers":null,"copyright":null,"agents":null,"dco":null,"cla":null}},"created_at":"2020-01-15T10:42:24.000Z","updated_at":"2025-03-18T08:05:42.000Z","dependencies_parsed_at":"2023-07-31T06:45:44.204Z","dependency_job_id":null,"html_url":"https://github.com/CAMeL-Lab/WIDH_2020_Arabic_Text_Analysis","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/CAMeL-Lab/WIDH_2020_Arabic_Text_Analysis","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/CAMeL-Lab%2FWIDH_2020_Arabic_Text_Analysis","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/CAMeL-Lab%2FWIDH_2020_Arabic_Text_Analysis/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/CAMeL-Lab%2FWIDH_2020_Arabic_Text_Analysis/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/CAMeL-Lab%2FWIDH_2020_Arabic_Text_Analysis/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/CAMeL-Lab","download_url":"https://codeload.github.com/CAMeL-Lab/WIDH_2020_Arabic_Text_Analysis/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/CAMeL-Lab%2FWIDH_2020_Arabic_Text_Analysis/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":28751106,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-01-25T09:58:17.166Z","status":"ssl_error","status_checked_at":"2026-01-25T09:55:56.104Z","response_time":113,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.5:443 state=error: 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":"2026-01-25T10:04:47.781Z","updated_at":"2026-01-25T10:04:47.854Z","avatar_url":"https://github.com/CAMeL-Lab.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Winter Institute in Digital Humanities 2020 - Text Analysis of Arabic\n\nThis repository contains material for the *Text Analysis of Arabic* course\ntaught at the NYU Abu Dhabi Winter Institute in Digital Humanities 2020.\nBelow are instructions on how to setup the working environment used in this\ncourse. We will be using [Jupyter Lab](https://jupyter.org/) as our programming\nenvironment as well as the\n[CAMeL Tools](https://github.com/CAMeL-Lab/CAMeL_Tools) Python library and the\n[MADAMIRA](http://innovation.columbia.edu/technologies/cu14012_arabic-language-disambiguation-for-natural-language-processing-applications)\ncommand-line tools.\n\n## Installing Pre-requisites\n\nWe assume Python 3.5+ and Java 8 are installed on your machine.\n\nTo install *Jupyter Lab* and *CAMeL Tools*, run the following command in a\nterminal window:\n\n```\npip install jupyterlab camel-tools\n```\n\nTo install MADAMIRA, please follow the\n[MADAMIRA installation instructions](MADAMIRA_INSTALLATION.md).\n\n## Running Jupyter Lab\n\nDownload the zip archive for this repository from *GitHub* and unzip it, or,\nclone the repository using *git* by running in a terminal window:\n\n```\ngit clone https://github.com/CAMeL-Lab/WIDH_2020_Arabic_Text_Analysis.git\n```\n\nThen, navigate to the project directory:\n\n```\ncd /path/to/WIDH_2020_Arabic_Text_Analysis\n```\n\nFinally, start Jupyter Lab by running:\n\n```\njupyter lab\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcamel-lab%2Fwidh_2020_arabic_text_analysis","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fcamel-lab%2Fwidh_2020_arabic_text_analysis","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcamel-lab%2Fwidh_2020_arabic_text_analysis/lists"}