{"id":20099240,"url":"https://github.com/fatchur/news-censorship-engine","last_synced_at":"2026-05-08T14:10:41.032Z","repository":{"id":129509736,"uuid":"91695939","full_name":"fatchur/News-censorship-engine","owner":"fatchur","description":"This  is an engine for censoring news in bahasa Indonesia with machine learning. Up to now, the validation accuracy is 90.4% for 1000 samples ","archived":false,"fork":false,"pushed_at":"2017-05-18T13:40:09.000Z","size":46729,"stargazers_count":0,"open_issues_count":0,"forks_count":1,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-08-01T14:51:54.048Z","etag":null,"topics":["bahasa-indonesia","neural-network","news-censorship","nlp","opinion-mining","python","tensorflow"],"latest_commit_sha":null,"homepage":"","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/fatchur.png","metadata":{"files":{"readme":"readme.txt","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":"2017-05-18T13:22:02.000Z","updated_at":"2017-05-18T13:38:21.000Z","dependencies_parsed_at":"2023-06-11T16:10:24.314Z","dependency_job_id":null,"html_url":"https://github.com/fatchur/News-censorship-engine","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/fatchur/News-censorship-engine","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/fatchur%2FNews-censorship-engine","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/fatchur%2FNews-censorship-engine/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/fatchur%2FNews-censorship-engine/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/fatchur%2FNews-censorship-engine/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/fatchur","download_url":"https://codeload.github.com/fatchur/News-censorship-engine/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/fatchur%2FNews-censorship-engine/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":32783541,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-08T08:22:46.396Z","status":"ssl_error","status_checked_at":"2026-05-08T08:22:45.650Z","response_time":54,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.6:443 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":["bahasa-indonesia","neural-network","news-censorship","nlp","opinion-mining","python","tensorflow"],"created_at":"2024-11-13T17:09:19.216Z","updated_at":"2026-05-08T14:10:40.999Z","avatar_url":"https://github.com/fatchur.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"Requirements:\n1. install tensorflow\n2. install flask\n3. python3 and other imported modules (numpy, scikitlearn, scipy etc)\n\n\n-- file train.ipynb\ncontains our training method and steps.\nMake sure you have installed all imported modules.\nDuring training process, our model reached 90.4% of accuracy\n\n\n--file engine.py\narticle category predictor based on model developed from train.ipynb file\n\n\n--file classifier.html\nan html file for submitting a will predicted article\n\n\n--the model folder\na folder containing neural net biases and weight\n\n\n---- how to run ----\n1. run engine.py (python3 engine.py)\n2. open classifier.html in web browser, paste your article here, and press \"klasifikasi\" button.\n3. the result will appear (sensitive or nonsensitive)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ffatchur%2Fnews-censorship-engine","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ffatchur%2Fnews-censorship-engine","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ffatchur%2Fnews-censorship-engine/lists"}