| 上市公司文本信息披露智能分析研究综述 |
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| 引用本文： | 吕品,武秦娟,许嘉. 上市公司文本信息披露智能分析研究综述[J]. 计算机工程与应用, 2021, 57(24): 1-13. DOI: 10.3778/j.issn.1002-8331.2106-0270 |
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| 作者姓名： | 吕品 武秦娟 许嘉 |
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| 作者单位： | 1.广西大学 计算机与电子信息学院，南宁 5300042.广西多媒体通信与网络技术重点实验室，南宁 5300043.广西高校并行分布式计算技术重点实验室，南宁 530004 |
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| 摘 要： | 对上市公司发布的文本信息披露进行分析是投资者了解公司经营状况、做出投资决策的重要途径，然而人工阅读和分析的方法存在效率低、成本高等问题。人工智能技术的发展则为文本信息的智能分析提供了契机，能够从海量企业文本数据中挖掘有价值的信息，充分发挥数据驱动的优势，大幅度提高分析效率，成为近些年的研究热点。对近十年关于上市公司文本信息披露智能分析的研究工作进行了总结，分别从文本信息披露的事件类型的研究现状、智能分析方法和应用场景三个方面进行了归纳，分析了该领域当前面临的挑战，最后根据现有方法的不足指出了未来可能的研究方向。
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| 关 键 词： | 公司文本信息披露 机器学习 事件类型 智能分析 应用场景 |
Intelligent Analysis of Text Information Disclosure of Listed Companies |
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| LYU Pin,WU Qinjuan,XU Jia. Intelligent Analysis of Text Information Disclosure of Listed Companies[J]. Computer Engineering and Applications, 2021, 57(24): 1-13. DOI: 10.3778/j.issn.1002-8331.2106-0270 |
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| Authors: | LYU Pin WU Qinjuan XU Jia |
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| Affiliation: | 1.School of Computer, Electronics and Information, Guangxi University, Nanning 530004, China2.Guangxi Key Laboratory of Multimedia Communications and Network Technology, Nanning 530004, China3.Guangxi Colleges and University Key Laboratory of Parallel and Distributed Computing, Nanning 530004, China |
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| Abstract: | The analysis of the text disclosure issued by listed companies is an important way for investors to understand the companies’ operating conditions and to make investment decisions. However, the method based on manual reading and analysis has low efficiency and high cost. The development of artificial intelligence technology provides an opportunity for intelligent analysis of companies’ text information, which can mine valuable information from massive enterprise text data, fulfill the advantages of data-driven, and greatly improve the analysis efficiency. Hence, it has become a research hotspot in recent years. The research work in recent ten years about the announcement of listed companies is summarized from three aspects：the event types of the text information disclosure, intelligent analysis method and application scenario. The current challenges in this field are also discussed, and possible future research directions according to the existing shortcomings are finally pointed out. |
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| Keywords: | corporation text disclosure machine learning event type intelligent analysis method application scenario |
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