Emotion is intrinsic to humans and consequently, emotion understanding is a key part of
human-like artificial intelligence (AI). Emotion recognition in conversation (ERC) is …

Sentiment analysis is one of the traditional well-known tasks in Natural Language
Processing (NLP) research. In recent years, Pre-trained Models (PMs) have become one of …

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 …

Sentiment and sarcasm detection in social media contribute to assessing social opinion
trends. Over the years, most artificial intelligence (AI) methods have relied on real values to …

Emotion Recognition is a challenging research area given its complex nature, and humans
express emotional cues across various modalities such as language, facial expressions …

Conversational sentiment analysis is an emerging, yet challenging subtask of the sentiment
analysis problem. It aims to discover the affective state and sentimental change in each …

Sarcasm detection in conversation, a theoretically and practically challenging artificial
intelligence task, aims to discover elusively ironic, contemptuous, and metaphoric …

Affective computing is one of the most important research fields in modern human–computer
interaction (HCI). The goal of affective computing is to study and develop the theories …

Multimodal video sentiment analysis is a rapidly growing area. It combines verbal (ie,
linguistic) and non-verbal modalities (ie, visual, acoustic) to predict the sentiment of …

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 …