Research Article
Sentimental Analysis of Industry 4.0 Perspectives Using a Graph-Based Bi-LSTM CNN Model
Table 6
Traditional sentiment classifiers approaches accuracy.
| Approaches | Accuracy |
| VADER-lexicon based | 66.73 | Naïve Bayes | 75.38 | Decision Tree | 69.16 | Random Forest | 73.07 | Support Vector Machine | 80.85 | Recurrent Neural Network with LSTM | 89.10 | Bi-LSTM | 88.52 | CNN | 91.78 | Bi-LSTM CNN | 94.64 | Bi-LSTM CNN + PoS tagging | 98.61 |
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