Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Emotion recognition in conversation: Research challenges, datasets, and recent advances
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 …
human-like artificial intelligence (AI). Emotion recognition in conversation (ERC) is …
A review of multimodal emotion recognition from datasets, preprocessing, features, and fusion methods
B Pan, K Hirota, Z Jia, Y Dai - Neurocomputing, 2023 - Elsevier
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 …
interaction (HCI). The goal of affective computing is to study and develop the theories …
Sentiment analysis: A survey on design framework, applications and future scopes
Sentiment analysis is a solution that enables the extraction of a summarized opinion or
minute sentimental details regarding any topic or context from a voluminous source of data …
minute sentimental details regarding any topic or context from a voluminous source of data …
M2fnet: Multi-modal fusion network for emotion recognition in conversation
V Chudasama, P Kar, A Gudmalwar… - Proceedings of the …, 2022 - openaccess.thecvf.com
Abstract Emotion Recognition in Conversations (ERC) is crucial in develo** sympathetic
human-machine interaction. In conversational videos, emotion can be present in multiple …
human-machine interaction. In conversational videos, emotion can be present in multiple …
Directed acyclic graph network for conversational emotion recognition
Integrating multimodal information in large pretrained transformers
Recent Transformer-based contextual word representations, including BERT and XLNet,
have shown state-of-the-art performance in multiple disciplines within NLP. Fine-tuning the …
have shown state-of-the-art performance in multiple disciplines within NLP. Fine-tuning the …