Compared to traditional sentiment analysis, which only considers text, multimodal sentiment
analysis needs to consider emotional signals from multimodal sources simultaneously and …

Sarcasm, sentiment and emotion are tightly coupled with each other in that one helps the
understanding of another, which makes the joint recognition of sarcasm, sentiment and …

In recent years, affective computing has become a topic of considerable interest, driven by
its ability to enhance several domains, such as mental health monitoring, human–computer …

Sentiment and emotion, which correspond to long-term and short-lived human feelings, are
closely linked to each other, leading to the fact that sentiment analysis and emotion …

Large Language Models (LLMs) have generated considerable interest and debate
regarding their potential emergence of Theory of Mind (ToM). Several recent inquiries reveal …

Multi-modal large language models (MLLMs) have achieved remarkable performance on
objective multimodal perception tasks, but their ability to interpret subjective, emotionally …

Multimodal Sentiment Analysis (MSA) focuses on leveraging multimodal signals for
understanding human sentiment. Most of the existing works rely on superficial information …

Theory of Mind (ToM) is the ability to attribute mental states to others, an important
component of human cognition. At present, there has been growing interest in the artificial …

A growing number of individuals are expressing their opinions and engaging in interactive
communication with others through various modalities, including natural language (text) …

Multimodal affective computing (MAC) has garnered increasing attention due to its broad
applications in analyzing human behaviors and intentions, especially in text-dominated …