Sentiment Analysis On Fiqa
Metrics
MSE
R^2
Results
Performance results of various models on this benchmark
| Paper Title | Code | |||
|---|---|---|---|---|
| Deep Neural Networks (DNN) | 0.09 | 0.41 | Financial Aspect and Sentiment Predictions with Deep Neural Networks: An Ensemble Approach | |
| Deep Representations | 0.08 | 0.40 | Financial Aspect-Based Sentiment Analysis using Deep Representations | |
| FinBERT | 0.07 | 0.55 | FinBERT: Financial Sentiment Analysis with Pre-trained Language Models | |
| k-RoBERTa (parallel) | 0.05 | 0.71 | Incorporating Multiple Knowledge Sources for Targeted Aspect-based Financial Sentiment Analysis |
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