Research Article
A BERT-Based Aspect-Level Sentiment Analysis Algorithm for Cross-Domain Text
Table 6
F1 value of different methods.
| Source | Target | Method | SCL-ML | ITIAD | CGRU | Ours |
| B | D | 0.740 | 0.810 | 0.812 | 0.814 | E | 0.729 | 0.794 | 0.781 | 0.796 | K | 0.782 | 0.820 | 0.805 | 0.835 | V | 0.764 | 0.784 | 0.797 | 0.812 | B | 0.800 | 0.820 | 0.831 | 0.842 |
| D | E | 0.784 | 0.791 | 0.812 | 0.815 | K | 0.766 | 0.798 | 0.803 | 0.825 | V | 0.821 | 0.856 | 0.858 | 0.921 | B | 0.796 | 0.810 | 0.812 | 0.821 |
| E | D | 0.803 | 0.738 | 0.794 | 0.824 | K | 0.715 | 0.792 | 0.830 | 0.867 | V | 0.723 | 0.761 | 0.784 | 0.815 | B | 0.786 | 0.754 | 0.774 | 0.790 |
| K | D | 0.806 | 0.764 | 0.801 | 0.807 | E | 0.735 | 0.772 | 0.816 | 0.821 | V | 0.764 | 0.798 | 0.824 | 0.848 | B | 0.831 | 0.787 | 0.854 | 0.867 | D | 0.829 | 0.856 | 0.878 | 0.879 |
| V | E | 0.784 | 0.843 | 0.847 | 0.868 | K | 0.838 | 0.866 | 0.845 | 0.870 |
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