Geng Tu
Publications by Year
Research Areas
Sentiment Analysis and Opinion Mining, Emotion and Mood Recognition, Topic Modeling, Text and Document Classification Technologies, Humor Studies and Applications
Most-Cited Works
- → Dynamic interactive multiview memory network for emotion recognition in conversation(2022)90 cited
- → Context- and Sentiment-Aware Networks for Emotion Recognition in Conversation(2022)81 cited
- → A probability and integrated learning based classification algorithm for high-level human emotion recognition problems(2019)77 cited
- → Multimodality Sentiment Analysis in Social Internet of Things Based on Hierarchical Attentions and CSAT-TCN With MBM Network(2020)67 cited
- → Exploration meets exploitation: Multitask learning for emotion recognition based on discrete and dimensional models(2021)48 cited
- → Sarcasm driven by sentiment: A sentiment-aware hierarchical fusion network for multimodal sarcasm detection(2024)40 cited
- → A hybrid intelligent model for acute hypotensive episode prediction with large-scale data(2020)34 cited
- → AutoML-Emo: Automatic Knowledge Selection Using Congruent Effect for Emotion Identification in Conversations(2022)25 cited
- → CSAT-FTCN: A Fuzzy-Oriented Model with Contextual Self-attention Network for Multimodal Emotion Recognition(2023)25 cited
- → A Multitask Learning Framework for Multimodal Sentiment Analysis(2021)16 cited