The emergence of artificial emotional intelligence technology is revolutionizing the fields of
computers and robotics, allowing for a new level of communication and understanding of …

Multi-modal conversation emotion recognition (MCER) aims to recognize and track the
speaker's emotional state using text, speech, and visual information in the conversation …

Sarcasm is a form of communication often used to express contempt or ridicule, where the
speaker conveys a message opposite to their true meaning, typically intending to mock or …

Emotion identification based on multimodal data (eg, audio, video, text, etc.) is one of the
most demanding and important research fields, with various uses. In this context, this …

When available, multimodal data is key for enhanced emotion recognition in conversation.
Text, audio, and video in dialogues can facilitate and complement each other in analyzing …

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 …

Emotion recognition in conversation (ERC) has received increasing attention from the
research community. However, the ERC task is challenging, largely due to the complex and …

Pre-trained models, together with fine-tuning on downstream labeled datasets, have
demonstrated great success in various tasks, including multimodal sentiment analysis …

Multimodal sentiment analysis utilizes various modalities such as Text, Vision and Speech to
predict sentiment. As these modalities have unique characteristics, methods have been …

Sentiment classification can explore the opinions expressed by people and help them make
better decisions. With the increasing of multimodal contents on the web, such as text, image …