{"id":19270479,"url":"https://github.com/ali7haider/classification_of_documents_using_graph-based-features_and_knn_gt","last_synced_at":"2025-02-23T20:14:45.839Z","repository":{"id":236484522,"uuid":"792702843","full_name":"ali7haider/Classification_of_Documents_Using_Graph-Based-Features_and_KNN_GT","owner":"ali7haider","description":"Classification of Documents Using Graph-Based Features and KNN This project offers hands-on experience with graph theory and machine learning, fostering skills in data representation, algorithm implementation, and analytical thinking in the context of document classification.","archived":false,"fork":false,"pushed_at":"2024-05-08T17:09:58.000Z","size":1873,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":2,"default_branch":"main","last_synced_at":"2025-01-05T13:09:52.528Z","etag":null,"topics":["document-classification","graph-construction","graph-theory","knn-classification","machine-learning","scrapping-python"],"latest_commit_sha":null,"homepage":"","language":"Python","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/ali7haider.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":"2024-04-27T10:27:21.000Z","updated_at":"2024-05-08T17:10:01.000Z","dependencies_parsed_at":"2024-11-09T20:26:51.527Z","dependency_job_id":"404c2fe8-ddf8-4da2-800b-ffcacaaa6129","html_url":"https://github.com/ali7haider/Classification_of_Documents_Using_Graph-Based-Features_and_KNN_GT","commit_stats":null,"previous_names":["ali7haider/classification_of_documents_using_graph-based-features_and_knn_gt"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ali7haider%2FClassification_of_Documents_Using_Graph-Based-Features_and_KNN_GT","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ali7haider%2FClassification_of_Documents_Using_Graph-Based-Features_and_KNN_GT/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ali7haider%2FClassification_of_Documents_Using_Graph-Based-Features_and_KNN_GT/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ali7haider%2FClassification_of_Documents_Using_Graph-Based-Features_and_KNN_GT/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/ali7haider","download_url":"https://codeload.github.com/ali7haider/Classification_of_Documents_Using_Graph-Based-Features_and_KNN_GT/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":240371759,"owners_count":19790888,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","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":["document-classification","graph-construction","graph-theory","knn-classification","machine-learning","scrapping-python"],"created_at":"2024-11-09T20:25:08.321Z","updated_at":"2025-02-23T20:14:45.693Z","avatar_url":"https://github.com/ali7haider.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Classification_of_Documents_Using_Graph-Based-Features_and_KNN_GT\n- Project Title: Classification of Documents Using Graph-Based Features and KNN This project offers hands-on experience with graph theory and machine learning, fostering skills in data representation, algorithm implementation, and analytical thinking in the context of document classification.\n# Objective:\nDevelop a system to classify documents into predefined topics by representing each document as a directed\ngraph, identifying common subgraphs, and applying the K-Nearest Neighbors (KNN) algorithm based on\ngraph similarity measures.\n# Data Scrapped:\n  - Diseases and Symptoms\n    - Scrapped from RemediesLab (https://www.remedieslabs.com)\n  - Sports\n    - Scrapped from TimesOfIndia (https://timesofindia.indiatimes.com)\n  - Science and Education\n    - Scrapped from SSEC (https://ssec.si.edu)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fali7haider%2Fclassification_of_documents_using_graph-based-features_and_knn_gt","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fali7haider%2Fclassification_of_documents_using_graph-based-features_and_knn_gt","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fali7haider%2Fclassification_of_documents_using_graph-based-features_and_knn_gt/lists"}