Adaptive Graph Learning for Multimodal Conversational Emotion Detection
Multimodal Emotion Recognition in Conversations (ERC) aims to identify the emotions
conveyed by each utterance in a conversational video. Current efforts encounter challenges …
conveyed by each utterance in a conversational video. Current efforts encounter challenges …
Multimodal sentiment analysis using deep learning and fuzzy logic: A comprehensive survey
Multimodal sentiment analysis (MSA) is the process of identifying sentiment polarities that
users may simultaneously display in text, audio, and video data. Sentiment analysis …
users may simultaneously display in text, audio, and video data. Sentiment analysis …
Sarcasm driven by sentiment: A sentiment-aware hierarchical fusion network for multimodal sarcasm detection
Sarcasm is a form of sentiment expression that highlights the disparity between a person's
true intentions and the content they explicitly present. With the exponential increase in …
true intentions and the content they explicitly present. With the exponential increase in …
Self-supervised utterance order prediction for emotion recognition in conversations
As the order of the utterances in a conversation changes, the meaning of the utterance also
changes, and sometimes, this will cause different semantics or emotions. However, the …
changes, and sometimes, this will cause different semantics or emotions. However, the …
Multi-modal sarcasm detection with sentiment word embedding
H Fu, H Liu, H Wang, L Xu, J Lin, D Jiang - Electronics, 2024 - mdpi.com
Sarcasm poses a significant challenge for detection due to its unique linguistic phenomenon
where the intended meaning is often opposite of the literal expression. Current sarcasm …
where the intended meaning is often opposite of the literal expression. Current sarcasm …
A multi-view interactive approach for multimodal sarcasm detection in social internet of things with knowledge enhancement
Multimodal sarcasm detection is a developing research field in social Internet of Things,
which is the foundation of artificial intelligence and human psychology research. Sarcastic …
which is the foundation of artificial intelligence and human psychology research. Sarcastic …
Emotion Recognition by Video: A review
Video emotion recognition is an important branch of affective computing, and its solutions
can be applied in different fields such as human-computer interaction (HCI) and intelligent …
can be applied in different fields such as human-computer interaction (HCI) and intelligent …
Learning More from Mixed Emotions: A Label Refinement Method for Emotion Recognition in Conversations
One-hot labels are commonly employed as ground truth in Emotion Recognition in
Conversations (ERC). However, this approach may not fully encompass all the emotions …
Conversations (ERC). However, this approach may not fully encompass all the emotions …
A Persona-Infused Cross-Task Graph Network for Multimodal Emotion Recognition with Emotion Shift Detection in Conversations
Recent research in Multimodal Emotion Recognition in Conversations (MERC) focuses on
multimodal fusion and modeling speaker-sensitive context. In addition to contextual …
multimodal fusion and modeling speaker-sensitive context. In addition to contextual …
Dialogue emotion model based on local–global context encoder and commonsense knowledge fusion attention
Abstract Emotion Recognition in Conversation (ERC) is a task aimed at predicting the
emotions conveyed by an utterance in a dialogue. It is common in ERC research to integrate …
emotions conveyed by an utterance in a dialogue. It is common in ERC research to integrate …