Metric: Accuracy of Sentiment (higher is better)
| # | Model↕ | Accuracy of Sentiment▼ | Extra Data | Paper | Date↕ | Code |
|---|---|---|---|---|---|---|
| 1 | BERT+AVG+MLP | 51.5 | No | CPED: A Large-Scale Chinese Personalized and Emo... | 2022-05-29 | Code |
| 2 | DialogXL | 51.24 | No | DialogXL: All-in-One XLNet for Multi-Party Conve... | 2020-12-16 | Code |
| 3 | bcLSTM | 49.65 | No | - | - | Code |
| 4 | TextRCNN | 49.13 | No | - | - | Code |
| 5 | BERT_{utt} | 48.96 | No | BERT: Pre-training of Deep Bidirectional Transfo... | 2018-10-11 | Code |
| 6 | TextCNN | 48.9 | No | Convolutional Neural Networks for Sentence Class... | 2014-08-25 | Code |
| 7 | FastText | 48.62 | No | Bag of Tricks for Efficient Text Classification | 2016-07-06 | Code |
| 8 | DialogueRNN | 48.57 | No | DialogueRNN: An Attentive RNN for Emotion Detect... | 2018-11-01 | Code |
| 9 | EmoBERTa | 48.09 | No | EmoBERTa: Speaker-Aware Emotion Recognition in C... | 2021-08-26 | Code |
| 10 | TextRNN | 47.89 | No | Recurrent Neural Network for Text Classification... | 2016-05-17 | - |
| 11 | DialogueGCN | 47.69 | No | DialogueGCN: A Graph Convolutional Neural Networ... | 2019-08-30 | Code |