Exploring Hypergraph of Earnings Call for Risk Prediction (Student Abstract)
نویسندگان
چکیده
In financial economics, studies have shown that the textual content in earnings conference call transcript has predictive power for a firm's future risk. However, is very long and contains diverse non-relevant content, which poses challenges text-based risk forecast. This study investigates structural dependency within by explicitly modeling dialogue between managers analysts. Specifically, we utilize TextRank to extract information exploit semantic correlation discussion using hypergraph learning. novel design can improve representation performance reduce of forecast errors. Experimental results on large-scale dataset show our approach significantly prediction compared state-of-the-art models.
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ژورنال
عنوان ژورنال: Proceedings of the ... AAAI Conference on Artificial Intelligence
سال: 2023
ISSN: ['2159-5399', '2374-3468']
DOI: https://doi.org/10.1609/aaai.v37i13.26973