{"id":17867268,"url":"https://github.com/saidziani/mastersthesis","last_synced_at":"2026-02-04T11:31:18.286Z","repository":{"id":183904198,"uuid":"122593251","full_name":"saidziani/MastersThesis","owner":"saidziani","description":"Avec l'émergence des TIC et la démocratisation de la production de contenu sur internet, on assiste à un tsunami informationnel. Ce dernier est très difficile à gérer manuellement, et même les outils informatiques classiques peinent à offrir des résultats concluants. Les journaux et les sites d'information contribuent pleinement à ce contenu, ce qui rend la revue de presse quotidienne dure à appréhender.  Notre projet, propose un outil sophistiqué qui prend en considération les centres d'intérêt de chaque utilisateur, afin de lui suggérer les articles les plus pertinents de la presse algérienne et internationale, et ce dans les deux langues (Arabe et Anglais). 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Mots clés : Traitement automatique du langage naturel, catégorisation de textes, corpus de résumé automatique, résumé automatique, traduction automatique, profilage d'utilisateurs, recommandation d'articles de presse.","archived":false,"fork":false,"pushed_at":"2019-01-13T14:38:04.000Z","size":30115,"stargazers_count":13,"open_issues_count":0,"forks_count":2,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-07-07T19:01:30.641Z","etag":null,"topics":["arabic-nlp","master","nlp-machine-learning","recommander-system","thesis"],"latest_commit_sha":null,"homepage":"","language":"TeX","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/saidziani.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}},"created_at":"2018-02-23T08:24:14.000Z","updated_at":"2022-09-25T15:47:22.000Z","dependencies_parsed_at":"2023-07-26T09:51:26.621Z","dependency_job_id":null,"html_url":"https://github.com/saidziani/MastersThesis","commit_stats":null,"previous_names":["saidziani/mastersthesis"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/saidziani/MastersThesis","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/saidziani%2FMastersThesis","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/saidziani%2FMastersThesis/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/saidziani%2FMastersThesis/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/saidziani%2FMastersThesis/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/saidziani","download_url":"https://codeload.github.com/saidziani/MastersThesis/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/saidziani%2FMastersThesis/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":29082585,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-02-04T03:31:03.593Z","status":"ssl_error","status_checked_at":"2026-02-04T03:29:50.742Z","response_time":62,"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":["arabic-nlp","master","nlp-machine-learning","recommander-system","thesis"],"created_at":"2024-10-28T09:46:47.522Z","updated_at":"2026-02-04T11:31:18.268Z","avatar_url":"https://github.com/saidziani.png","language":"TeX","funding_links":[],"categories":[],"sub_categories":[],"readme":"\n# Mémoire de fin d'études de Master Informatique    - parcours Systèmes Informatiques Intelligents\n\n## Réalisation d'un outil de revue de presse personnalisée\n\n------------------------------\n  \n\u003cp align=\"center\"\u003e\n  \u003ca target=\"_blank\" href=\"http://sumrized.com/feedny/Mémoire de Master - Réalisation d'un outil de revue de presse personnalisée.pdf\"\u003e\n    \u003cimg src=\"https://s3.amazonaws.com/saidziani/thesis/screen.png\" alt=\"Cover\" /\u003e\n  \u003c/a\u003e\n\u003c/p\u003e\n\n------------------------------\n## Résumé\nAvec l'émergence des TIC et la démocratisation de la production de contenu sur internet, on assiste à un tsunami informationnel. Ce dernier est très difficile à gérer manuellement, et même les outils informatiques classiques peinent à offrir des résultats concluants. Les journaux et les sites d'information contribuent pleinement à ce contenu, ce qui rend la revue de presse quotidienne dure à appréhender. \n\nNotre projet, propose un outil sophistiqué qui prend en considération les centres d'intérêt de chaque utilisateur, afin de lui suggérer les articles les plus pertinents de la presse algérienne et internationale, et ce dans les deux langues (Arabe et Anglais). Ceci est accompli en utilisant des techniques d'intelligence artificielle, de traitement automatique du langage et d'apprentissage automatique. \n\n\u003cb\u003eMots clés :\u003c/b\u003e Traitement automatique du langage naturel, catégorisation de textes, corpus de résumé\nautomatique, résumé automatique, traduction automatique, profilage d'utilisateurs, recommandation d'articles de presse.\n\n## \u003cp dir=\"rtl\"\u003eملخص\u003c/p\u003e \n\u003cdiv dir=\"rtl\"\u003e\nمع بروز تكنولوجيا الإعلام و الإتصال و دمقرطة محتوى صفحات الأنترنت، أصبح التحكم في الكم الهائل من المعلومات صعبا للغاية، سواءا يدويا أو حتى باستعمال أنظمة معلوماتية. وتساهم الصحف و المواقع الإخبارية بشكل مباشر في تزايد المحتوى، مما يجعل الإطلاع على الأخبار أمرا متعبا يتطلب الكثير من الوقت. \n\u003cbr\u003e\u003cbr\u003e\nلمعالجة هذه الإشكالية، نقترح في مشروعنا تطبيقا يأخذ بعين الإعتبار اههتمامات المستخدمين بهدف اقتراح مقالات من الصحافة الجزائرية و الدولية باللغتين العربية و الإنجليزية تلبي رغبة القارئ، و هذا باستخدام تقنيات الذكاء الإصطناعي و المعالجة الآلية للنصوص.\n\u003cbr\u003e\u003cbr\u003e\n\u003cb\u003eالكلمات الدالة :\u003c/b\u003e المعالجة الآلية للغات،  تصنيف النصوص، تلخيص النصوص، الترجمة الآلية، التوصية. \n\u003c/div\u003e\n\n## Abstract\nThe Internet plays an increasingly important part in our daily lives as a source of written content for news and leisure. Yet it is tedious and difficult to sort through this staggering flow of information and stay updated with changes in our world, even using automated tools. \n\nReading magazines and newspapers is too time-consuming, and there is a huge amount of online content that is updated or generated each minute. \n\nOur solution considers each user's interests and leverages Artificial Intelligence, Machine Learning and Natural Language Processing in order to suggest to relevant articles from the internet.\n\n\u003cb\u003eKeywords :\u003c/b\u003e Natural Language Processing, Text classification, Automatic summarization corpora, Automatic summarization, Machine translation, User profiling, News recommendation. \n\n-------------------------------------\n## Réalisation\n\n*   Backend : \n    -   API: [github.com/saidziani/Simple-Flask-API](https://github.com/saidziani/Simple-Flask-API)\n    -   NoSQL Database: WIP\n*   Models : \n    -   Arabic News Article Classification: [github.com/saidziani/Arabic-News-Article-Classification](https://github.com/saidziani/Arabic-News-Article-Classification)\n    -   Automatic Text Summarization: [github.com/saidziani/Sumrized](https://github.com/saidziani/sumrized)\n*   Frontend : \n    -   Feedny: [github.com/saidziani/Feedny](https://github.com/saidziani/feedny)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsaidziani%2Fmastersthesis","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsaidziani%2Fmastersthesis","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsaidziani%2Fmastersthesis/lists"}