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Samy Benslimane
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2020 – today
- 2023
- [b1]Samy Benslimane:
Analyse, détection et quantification de la controverse dans les médias sociaux par l'utilisation de modèle d'apprentissage profond sur des données structurelles et textuelles. (Analysis, detection and quantification of controversy on social media using deep learning models on structural and textual data). University of Montpellier, France, 2023 - [j1]Samy Benslimane
, Jérôme Azé, Sandra Bringay, Maximilien Servajean, Caroline Mollevi:
A text and GNN based controversy detection method on social media. World Wide Web (WWW) 26(2): 799-825 (2023) - [c3]Samy Benslimane, Jérôme Azé, Sandra Bringay, Caroline Mollevi, Maximilien Servajean:
Détection de la controverse : une approche basée sur les réseaux de neurones, appliquée aux graphes et aux textes. CNIA 2023: 50-51 - [c2]Samy Benslimane
, Thomas Papastergiou
, Jérôme Azé
, Sandra Bringay
, Caroline Mollevi
, Maximilien Servajean
:
Explaining controversy through community analysis on Twitter. IDEAS 2023: 148-155 - 2021
- [c1]Samy Benslimane, Jérôme Azé, Sandra Bringay, Maximilien Servajean, Caroline Mollevi:
Controversy Detection: A Text and Graph Neural Network Based Approach. WISE (1) 2021: 339-354 - [i1]Samy Benslimane, Jérôme Azé, Sandra Bringay, Maximilien Servajean, Caroline Mollevi:
Controversy Detection: a Text and Graph Neural Network Based Approach. CoRR abs/2112.11445 (2021)
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