Emotion Detection for Conversations Based on Reinforcement Learning Framework

Author:

Huang XiangdongORCID,Ren MinjieORCID,Han Qiankun,Shi Xiaoqi,Nie JieORCID,Nie WeizhiORCID,Liu An-AnORCID

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

2019 Tianjin New Generation Artificial Intelligence Major Program

State Key Lab of CAD & CG

Tianjin Science Foundation for Young Scientists of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Hardware and Architecture,Media Technology,Signal Processing,Software

Cited by 14 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Challenges and Solutions in Emotion Detection Using Deep Learning Approaches;Advances in Psychology, Mental Health, and Behavioral Studies;2024-05-14

2. Facial Emotion Detection: A Comprehensive Survey;2024 International Conference on Cognitive Robotics and Intelligent Systems (ICC - ROBINS);2024-04-17

3. Customer sentiment recognition in conversation based on bidirectional LSTM and self-attention mechanism;Journal of Intelligent & Fuzzy Systems;2024-02-14

4. A Systematic Review on Multimodal Emotion Recognition: Building Blocks, Current State, Applications, and Challenges;IEEE Access;2024

5. Long Dialogue Emotion Detection Based on Commonsense Knowledge Graph Guidance;IEEE Transactions on Multimedia;2024

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