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Sentiment Analysis On Semeval
평가 지표
F1-score
평가 결과
이 벤치마크에서 각 모델의 성능 결과
| Paper Title | ||
|---|---|---|
| MT-ISAO (Ours) | 0.9268 | Multi-Task Learning with LLMs for Implicit Sentiment Analysis: Data-level and Task-level Automatic Weight Learning |
| LSTMs+CNNs ensemble with multiple conv. ops | 0.685 | BB_twtr at SemEval-2017 Task 4: Twitter Sentiment Analysis with CNNs and LSTMs |
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