Table 8 Performance between proposed and existing methods for developed objective
From: Twitter sentiment analysis using hybrid gated attention recurrent network
Models | Accuracy | Precision | Sensitivity | F1-measure |
|---|---|---|---|---|
Proposed (GARN) | 97.86453 | 96.6588 | 96.764 | 96.7 |
BiLSTM | 95.7957 | 93.6148 | 94.07 | 93.613 |
BiGRU (Bidirectional gated recurrent unit) | 95.1951 | 92.82 | 93.36 | 92.7 |
TCN (Temporal convolutional network) | 95.9302 | 94.221 | 94.519 | 94.275 |
Transformer | 96.007 | 95.8 | 95.76 | 94.89 |
BERT (Bidirectional Encoder Representations from Transformers) | 95 | 94.32 | 94.67 | 93.92 |