Knowledge Commons of Institute of Automation,CAS
Mining User's Opinion Towards the Rising and Falling Trends of the Stock Market: A Hybrid Model | |
Haoda Qian1,2; Liping Chen1; Ziwen Zha3 | |
2021-11 | |
会议名称 | 2021 IEEE International Conference on Intelligence and Security Informatics (ISI) |
页码 | 1-3 |
会议日期 | 2021-11 |
会议地点 | San Antonio, TX, USA |
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. |
收录类别 | EI |
语种 | 英语 |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/48611 |
专题 | 多模态人工智能系统全国重点实验室_互联网大数据与信息安全 |
作者单位 | 1.The State Key Laboratory of Management and Control for Complex Systems Institute of Automation, Chinese Academy of Sciences Beijing 100190, China 2.University of Chinese Academy of Sciences, Beijing, China 3.China Academy of Industrial Internet |
第一作者单位 | 中国科学院自动化研究所 |
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],2021:1-3. |
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文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
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