Method | SemEval 2019 Task 4 | ||||
Class | Accuracy | Precision | Recall | F1 | |
LSTM | Pos | 67.69 | 0.7222 | 0.6192 | 0.6667 |
Neg | 0.6359 | 0.7528 | 0.6894 | ||
CNN | Pos | 75.07 | 0.6549 | 0.7999 | 0.7201 |
Neg | 0.8146 | 0.7024 | 0.7543 | ||
Transformer | Pos | 73.85 | 0.6285 | 0.8799 | 0.7333 |
Neg | 0.8527 | 0.6678 | 0.7490 | ||
HAN | Pos | 78.96 | 0.8571 | 0.7199 | 0.7826 |
Neg | 0.7245 | 0.8762 | 0.7931 | ||
AC-BiLSTM | Pos | 79.82 | 0.8083 | 0.7454 | 0.7755 |
Neg | 0.7968 | 0.8123 | 0.8044 | ||
THAHNN | Pos | 81.53 | 0.9019 | 0.7729 | 0.8324 |
Neg | 0.7544 | 0.8825 | 0.8134 |