Papers with Stander
Incorporating Stock Market Signals for Twitter Stance Detection (2022.acl-long)
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Costanza Conforti, Jakob Berndt, Mohammad Taher Pilehvar, Chryssi Giannitsarou, Flavio Toxvaerd, Nigel Collier
| Challenge: | stance detection is the task of automatically classifying the writer's opinion expressed in a text towards a particular target. |
| Approach: | They propose a robust multi-task neural architecture that combines textual input with high-frequency intra-day time series from stock market prices. |
| Outcome: | The proposed system achieves state-of-the-art on the wt–wt dataset. |