基于模型检测的财经舆情可信度研究

doi:10.3772/j.issn.1000-0135.2020.06.006

情报学报

2020, Vol. 39

Issue (6): 619-629 DOI: 10.3772/j.issn.1000-0135.2020.06.006

情报理论与应用

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基于模型检测的财经舆情可信度研究

吴鹏^1,2, 肖维聪^1,2, 楚榕珍^1,2

1.南京理工大学经济管理学院，南京 210094
2.江苏省社会公共安全科技协同创新中心，南京 210094

The Credibility of Business Public Opinion Based on Model Checking

Wu Peng^1,2, Xiao Weicong^1,2, Chu Rongzhen^1,2

1.School of Economics and Management, Nanjing University of Science & Technology, Nanjing 210094
2.Jiangsu Collaborative Innovation Center of Social Safety Science and Technology, Nanjing 210094

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摘要财经舆情的可信度评估影响企业发展和投资者利益，为了获得可信度判别标准并判断其准确性，本文设计了一个基于模型检测技术的可信度检测框架。利用决策树算法代替传统的人工归纳过程来构建财经舆情的可信度判断规则，并以CTL形式化语言描述。将财经舆情数据库表示为基于时序逻辑关系的可信度待检测模型，并将模型以kripke结构表示。通过模型检测器NuSMV对待检测模型进行自动化的规则验证，判断待检测模型是否符合可信度检测规则，将不符合规则的模型中的路径输出为反例路径，即为不可信财经舆情的检测路径。最后，结合实证研究对提出的框架进行了有效性验证。结果表明，本文提出的框架可以快速有效实现财经舆情可信度的自动检测，帮助投资者分析和预测财经舆情的真实性。

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	吴鹏
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关键词 ：模型检测, 财经舆情, 可信度检测, 决策树算法

收稿日期: 2019-07-06

基金资助:国家自然科学基金项目“突发事件网民负面情感的模型检测研究”（71774084），“个体调节定向与信息瀑布演进交互作用机制研究”（71874082）；国家社会科学基金项目“基于社会网络分析的网络舆情主题发现研究”（15BTQ063）。

作者简介: 吴鹏，男，1976 年生，博士，教授，博士生导师，主要研究领域为用户行为与人机交互、智能信息处理，E-mail：wupeng@njust.edu.cn；肖维聪，男，1996 年生，硕士研究生，主要研究领域为网络用户行为研究；楚榕珍，女，1993 年生，硕士研究生，主要研究领域为网络用户行为研究。

引用本文:

吴鹏, 肖维聪, 楚榕珍. 基于模型检测的财经舆情可信度研究[J]. 情报学报, 2020, 39(6): 619-629.
Wu Peng, Xiao Weicong, Chu Rongzhen. The Credibility of Business Public Opinion Based on Model Checking. 情报学报, 2020, 39(6): 619-629.

链接本文:

https://qbxb.istic.ac.cn/CN/10.3772/j.issn.1000-0135.2020.06.006 或 https://qbxb.istic.ac.cn/CN/Y2020/V39/I6/619

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