Research Article
A Deep-Learning Framework for Analysing Students’ Review in Higher Education
Table 8
Comparison of proposed approach in this work with state-of-the-art performance for sentiment polarity prediction.
| Approaches | Source | No. polarity categories | Precision | Recall | F1-score | Accuracy |
| SVM | [28] | 3 | 0.91 | 0.88 | 0.91 | 0.97 | NB | [28] | 3 | 0.70 | 0.70 | 0.71 | 0.89 | CNB | [28] | 3 | 0.78 | 0.87 | 0.89 | 0.93 | ME | [28] | 3 | 0.92 | 0.82 | 0.92 | 0.87 | LSTM + domain embedding | [19] | 3 | 0.88 | 0.85 | 0.86 | — | WS-LSTM + glove | [21] | 3 | — | — | 0.93 | — | WS-CNN + glove | [21] | 3 | — | — | 0.91 | — | Baseline model | This study | 2 | 0.94 | 0.94 | 0.94 | 0.94 | Proposed model | This study | 2 | 0.96 | 0.96 | 0.96 | 0.96 |
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