Papers by Chenxi Hu
Predict the Future from the Past? On the Temporal Data Distribution Shift in Financial Sentiment Classifications (2023.emnlp-main)
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| Challenge: | Existing methods for financial sentiment analysis use random splits of a dataset into training and testing to ensure there is no distribution shift between training and deployment. |
| Approach: | They propose a method that combines out-of-distribution detection with time series modeling for temporal financial sentiment analysis. |
| Outcome: | The proposed method improves the model’s ability to adapt to evolving temporal shifts in a volatile financial market. |