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Table 5 Evaluation of text representation ensemble

From: Sentiment analysis of Indonesian datasets based on a hybrid deep-learning strategy

Model

Accuracy*

Precision*

Recall*

F-score*

AUC*

BERT and RoBERTa + LSTM-attention [34]

82.80

79.70

85.07

82.21

83.05

BERT + BiLSTM-TCN

84.65

84.67

84.66

84.65

84.68

DistilBERT + BiLSTM-TCN

82.28

84.33

81.09

82.62

82.44

Our Proposed model

85.13

85.41

84.94

85.17

85.14

  1. *Metric values are expressed as a percentage