4 papers
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…
VQA support to Arabic Language Learning Educational Tool
Khaled Bachir Delassi, Lakhdar Zeggane, Hadda Cherroun +2
We address the problem of scarcity of educational Arabic Language Learning tools that advocate modern pedagogical models such as active learning which ensures language proficiency.…
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…
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…