Discover saidziani/saidziani.github.io Open Source project

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Created over 6 years ago
Updated 4 months ago

saidziani

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Having a track record of continually improving the way software works, I'm trying always to apply my technical know-how to manage and operate IT hardware, software and application solutions. I like to be involved in solving challenging technical problems, task estimation and work prioritization. In addition to my French and English, I can speak Python and JavaScript perfectly as well as my ineloquent PHP.

Arabic-News-Article-Classification

Automatic categorization of documents, consists in assigning a category to a text based on the information it contains. We'll follow different approach of Supervised Machine Learning.

Python

Sumrized

Automatic Text Summarization (English/Arabic).

Jupyter Notebook

Feedny

The 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. Reading magazines and newspapers is too time-consuming, and there is a huge amount of online content that is updated or generated each minute. Our 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.

JavaScript

MastersThesis

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). Ceci est accompli en utilisant des techniques d'intelligence artificielle, de traitement automatique du langage et d'apprentissage automatique. 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.

TeX