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cs.CL2025
Arabic Multimodal Machine Learning: Datasets, Applications, Approaches, and Challenges
Abdelhamid Haouhat, Slimane Bellaouar, Attia Nehar +2
Multimodal Machine Learning (MML) aims to integrate and analyze information from diverse modalities, such as text, audio, and visuals, enabling machines to address complex tasks li…
cs.CL2023
Modality Influence in Multimodal Machine Learning
Abdelhamid Haouhat, Slimane Bellaouar, Attia Nehar +1
Multimodal Machine Learning has emerged as a prominent research direction across various applications such as Sentiment Analysis, Emotion Recognition, Machine Translation, Hate Spe…
cs.CL2023
Towards Arabic Multimodal Dataset for Sentiment Analysis
Abdelhamid Haouhat, Slimane Bellaouar, Attia Nehar +1
Multimodal Sentiment Analysis (MSA) has recently become a centric research direction for many real-world applications. This proliferation is due to the fact that opinions are centr…