Table 8. Performances of sentiment analysis models on NLPCC dataset.
Method | Performance (%) | ||
---|---|---|---|
Precision | Recall | F1-score | |
NB | 63.82 | 61.90 | 58.84 |
LR | 57.80 | 56.99 | 56.53 |
SVM | 63.86 | 63.49 | 59.85 |
TextCNN | 68.50 | 67.37 | 67.62 |
LSTM | 69.48 | 72.29 | 70.48 |
SVMRDEV | 69.05 | 75.03 | 70.16 |
TextCNNRDEV | 70.36 | 73.20 | 71.10 |
LSTMRDEV | 71.10 | 75.60 | 72.39 |