Table 5 Error analysis on the restaurant dataset.
From: Graph-enhanced implicit aspect-level sentiment analysis based on multi-prompt fusion
Error type | Error description | Count | Proportion (%) |
|---|---|---|---|
Aspect Recognition Error | Some implicit aspect terms were not recognized | 50 | 17.5 |
Sentiment Polarity Misclassification | The sentiment expression of implicit aspects was not correctly understood | 34 | 12.0 |
Aspect-Opinion Misalignment | Implicit opinion terms were incorrectly aligned to unrelated aspects | 57 | 20.0 |
Aspect Category Misclassification | Confusion between similar aspect categories (e.g., food quality vs. food general) | 49 | 17.2 |
Incomplete Aspect Extraction | Complex sentences with multiple implicit aspects were not fully extracted | 95 | 33.3 |
Total | Â | 285 | 100.0 |
