3 citations · 3 across the 4 of their papers we have counts for
4 papers
Modeling Induced Pleasure through Cognitive Appraisal Prediction via Multimodal Fusion
Nastaran Dab, Raziyeh Zall, Mohammadreza Kangavari
Multimodal affective computing analyzes user-generated social media content to predict emotional states. However, a critical gap remains in understanding how visual content shapes…
Intelligent Agents with Emotional Intelligence: Current Trends, Challenges, and Future Prospects
Raziyeh Zall, Alireza Kheyrkhah, Erik Cambria +2
The development of agents with emotional intelligence is becoming increasingly vital due to their significant role in human-computer interaction and the growing integration of comp…
Transfer-based adaptive tree for multimodal sentiment analysis based on user latent aspects
Sana Rahmani, Saeid Hosseini, Raziyeh Zall +3
Multimodal sentiment analysis benefits various applications such as human-computer interaction and recommendation systems. It aims to infer the users' bipolar ideas using visual, t…
EmoDNN: Understanding emotions from short texts through a deep neural network ensemble
Sara Kamran, Raziyeh Zall, Mohammad Reza Kangavari +3
The latent knowledge in the emotions and the opinions of the individuals that are manifested via social networks are crucial to numerous applications including social management, d…