Mining User's Opinion Towards the Rising and Falling Trends of the Stock Market: A Hybrid Model | |
Haoda Qian1,3; Liping Chen3; Ziwen Zha2 | |
2021-11 | |
会议日期 | 2021-11 |
会议地点 | San Antonio, TX, USA |
页码 | 1-3 |
英文摘要 | Mining users’ opinions towards the rising and falling trends of the stocks may help the management department estimate the risk and make timely decision. Existing methods ignore the effective fusion of domain information and pre trained language models, hindering mining implicit semantic information. This paper proposes a hybrid method that adopts masked language modeling to obtain a domain-information enhanced language model. Firstly, it generates an attention mechanism-oriented masking based on words’ importance, word-level polarity and terminology. Then, the masked words and their corresponding knowledge are predicted to acquire domain-aware language representation. Experimental results on two public financial sentiment analysis datasets show the efficacy of the proposed model. |
语种 | 英语 |
内容类型 | 会议论文 |
源URL | [http://ir.ia.ac.cn/handle/173211/48611] |
专题 | 自动化研究所_复杂系统管理与控制国家重点实验室_互联网大数据与安全信息学研究中心 |
作者单位 | 1.University of Chinese Academy of Sciences, Beijing, China 2.China Academy of Industrial Internet 3.The State Key Laboratory of Management and Control for Complex Systems Institute of Automation, Chinese Academy of Sciences Beijing 100190, China |
推荐引用方式 GB/T 7714 | Haoda Qian,Liping Chen,Ziwen Zha. Mining User's Opinion Towards the Rising and Falling Trends of the Stock Market: A Hybrid Model[C]. 见:. San Antonio, TX, USA. 2021-11. |
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