April 16, 2024, 4:50 a.m. | Tianyu Chen, Yiming Zhang, Guoxin Yu, Dapeng Zhang, Li Zeng, Qing He, Xiang Ao

cs.CL updates on arXiv.org arxiv.org

arXiv:2404.08681v1 Announce Type: new
Abstract: In this paper, we extend financial sentiment analysis~(FSA) to event-level since events usually serve as the subject of the sentiment in financial text. Though extracting events from the financial text may be conducive to accurate sentiment predictions, it has specialized challenges due to the lengthy and discontinuity of events in a financial text. To this end, we reconceptualize the event extraction as a classification task by designing a categorization comprising coarse-grained and fine-grained event categories. …

analysis arxiv cs.cl event financial sentiment sentiment analysis type

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