Université de Bordeaux
photo
CV

Samawel JABALLI - Thèse en cours


Adresse Professionnelle
113 115 rue de Cauderès 33400 Talence 33800
BORDEAUX FRANCE
jaballisamawel7@gmail.com
samawel.jaballi@u-bordeaux.fr
Identifiant ORCID 0000000260966048
Identifiant Hal https://hal.archives-ouvertes.fr/search/index/?q=%2A&authIdHal_s=samawel-jaballi
Compte LinkedIn https://www.linkedin.com/in/samaweljaballi/
Compte Researchgate https://www.researchgate.net/profile/Samawel-Jaballi

Projet professionnel :
  • Enseignement et recherche, enseignement supérieur
  • Recherche en milieu académique
  • Recherche en entreprise, R&D du secteur privé
  • Médiation scientifique, communication et journalisme scientifique, édition scientifique, relations internationales
  • enseignant-chercheur, enseignant du supérieur
  • chercheur en milieu académique
  • chercheur en entreprise, R&D du secteur privé
  • métiers d’accompagnement et de support à la recherche, à l’innovation et à la valorisation, au développement des Spin Off et Start-up innovantes
  • expertise, études et conseils dans des organisations, cabinets ou sociétés fournissant des prestations intellectuelles, des expertises scientifiques, prospectives ou stratégiques

Techniques maîtrisées :
“I am an aspiring research student in a wide range of functions including predictive modeling, content discovery, data warehousing, and programming skills especially with Python. I am also a lifelong learner driven by curiosity, dynamism, and a passion for integrating diverse algorithms and methods of Artificial Intelligence to find solutions to problems that matter to people and their communities. As a highly motivated and passionate NLP Researcher, I aim to use my talents in AI, Deep Learning, and statistical analysis to solve real-world problems and make the customer achieve more. My research activities focus on topics related to Machine Learning and Natural Language Processing. At the same time, I try to maintain a good hands-on experience on open-source technologies. I love looking for solutions and adapting existing ones. And finally, I have a strong communication skills and able to present abstract concepts in an accessible way to all organizational levels. I think of myself as a creative with a strong sense of invention”
Compétences :
• Programming Languages: C, C++, Java, Python. • Databases: SQL, MySQL, PL/SQL, NoSQL. • Frameworks & Libraries: Pandas, NumPy, Scikit-Learn, Gensim, SciPy, NLTK, Matplotlib, Seaborn, SpaCy, TensorFlow, Keras, Django. • Design Tools & Agile Methods: Adobe Photoshop, UML, Scrum, Git. • Microsoft Office: Good proficiency of the office pack (Excel, Word, and PowerPoint). • Soft Skills: Leadership, Event Management, Writing, Public Speaking, Time Management. • Languages: Arabic: Native speaker, French: Fluent, English: Intermediate. • Others: Conception of online courses (By using the platform MOODLE®).

Doctorat Informatique

- Université de Bordeaux

Ecole doctorale : Mathématiques et Informatique

Sujet : Extraction, transcription et analyse des opinions publiques multilingues issues des réseaux sociaux

Mots-clés de la thèse : Analyse de sentiments,Traitement du langage,Analyse audio,

Direction de thèse : Henri NICOLAS

Co-direction de thèse : Mounir ZRIGUI

Cotutelle FACULTÉ DES SCIENCES DE MONASTIR TUNISIE

Unité de recherche : LaBRI - Laboratoire Bordelais de Recherche en Informatique UMR 5800 - Talence
Intitulé de l'équipe : Images et Son

Master - Diplôme National du Master de Recherche en Informatique

obtenu en décembre 2021 - Université de Monastir
Option : Systèmes de Raisonnement Automatique

Production scientifique

- Samawel Jaballi, Manar Joundy Hazar, Salah Zrigui, Azer Mahjoubi, Henri Nicolas, Mounir Zrigui 2024. Decoding Multilingual Topic Dynamics and Trend Identification through ARIMA Time Series Analysis on Social Networks: A Novel Data Translation Framework Enhanced by LDA/HDP Models   Journal of Electrical and Computer Engineering, olume 2024, Article ID 6669491, 26 pages, https://onlinelibrary.wiley.com/doi/full/10.1155/2024/6669491
- Samawel Jaballi, Salah Zrigui, Manar Joundy Hazar, Henri Nicolas, Mounir Zrigui 2024. Exploring Unsupervised Word Representations Models and Neural Networks for Informal Multilingual Text Against Covid-19 Social Media Content   Asian Conference on Intelligent Information and Database Systems (ACIIDS 2024), 14796,347–359 , https://link.springer.com/chapter/10.1007/978-981-97-4985-0_27
- Samawel Jaballi, Manar Joundy Hazar, Salah Zrigui, Henri Nicolas, Mounir Zrigui 2023. Deep Bidirectional LSTM Network Learning-Based Sentiment Analysis for Tunisian Dialectical Facebook Content During the Spread of the Coronavirus Pandemic   , 1864, pp.96 - 109, https://hal.science/hal-04224265/document
- Samawel Jaballi, Salah Zrigui, Mohamed Ali Sghaier, Dhaou Berchech, Mounir Zrigui 2022. Sentiment Analysis of Tunisian Users on Social Networks: Overcoming the Challenge of Multilingual Comments in the Tunisian Dialect   International Conference on Computational Collective Intelligence, 176-192, https://link.springer.com/chapter/10.1007/978-3-031-16014-1_15
Dernière mise à jour le 24 mars 2025