Research into a risk assessment model for online public opinions based on big data: random forest and logistic model

被引：0
|
作者：
Dong, Danhui [1 ]
机构：
[1] School of Culture and Tourism, Wuxi Vocational College of Science and Technology, No. 8 Xinxi Road, Jiangsu Province, Wuxi City,214000, China
来源：
International Journal of Data Science | 2024年 / 9卷 / 01期
关键词：
D O I：
10.1504/IJDS.2024.135966
中图分类号：
学科分类号：
摘要：
The current risk assessment index system for online public opinions has some deficiencies; therefore, the risk assessment method for online public opinions has some disadvantages. In order to overcome these disadvantages, this research attempts to propose a risk assessment model for online public opinions based on a random forest and logistic model, and then the risks of online public opinions can be evaluated effectively. With the incident of patient relatives purposefully hurting doctors at Beijing Civil Aviation General Hospital as the research object, a systematic analysis was conducted in this research on the model indexes. The critical risk indexes of online public opinions are confirmed; sensitivity, reporting speed, reporting frequency, emotional tendency, satisfaction, and timeliness of the processing process are the main factors affecting the risk of online public opinions. The results can provide practical reference for the development trend and risk assessment of online public opinions. Copyright © 2024 Inderscience Enterprises Ltd.
引用
收藏
页码：19 / 34
相关论文
共 50 条
  • [1] Financial risk assessment model based on big data
    Kang, Qiong
    INTERNATIONAL JOURNAL OF MODELING SIMULATION AND SCIENTIFIC COMPUTING, 2019, 10 (04)
  • [2] Flood hazard risk assessment model based on random forest
    Wang, Zhaoli
    Lai, Chengguang
    Chen, Xiaohong
    Yang, Bing
    Zhao, Shiwei
    Bai, Xiaoyan
    JOURNAL OF HYDROLOGY, 2015, 527 : 1130 - 1141
  • [3] The Innovation Research of Public Management Model Based on Big Data
    Jin, Tian
    PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON ECONOMICS, SOCIAL SCIENCE, ARTS, EDUCATION AND MANAGEMENT ENGINEERING, 2015, 38 : 200 - 203
  • [4] Research on the Personalized Online Education Model Based on the Education Big Data
    Long, Shirong
    Zhao, Xuekong
    BASIC & CLINICAL PHARMACOLOGY & TOXICOLOGY, 2020, 126 : 374 - 375
  • [5] A flood risk assessment model based on Random Forest and its application
    Lai, Chengguang
    Chen, Xiaohong
    Zhao, Shiwei
    Wang, Zhaoli
    Wu, Xushu
    Shuili Xuebao/Journal of Hydraulic Engineering, 2015, 46 (01): : 58 - 66
  • [6] Risk Assessment of Gas Explosion Disaster Based on Random Forest Model
    Zhang, Qing
    2019 5TH INTERNATIONAL CONFERENCE ON ADVANCES IN ENERGY RESOURCES AND ENVIRONMENT ENGINEERING (ICAESEE 2019), 2020, 446
  • [7] Comparative Analysis of Gaussian Mixture Model, Logistic Regression and Random Forest for Big Data Classification using Map Reduce
    Singh, Vikas
    Gupta, Rahul. K.
    Sevakula, Rahul K.
    Verma, Nishchal K.
    2016 11TH INTERNATIONAL CONFERENCE ON INDUSTRIAL AND INFORMATION SYSTEMS (ICIIS), 2016, : 333 - 338
  • [8] RESEARCH OF PUBLIC OPINION HOTSPOT DETECTION MODEL BASED ON WEB BIG DATA
    Fan, Chunxiao
    Wu, Yuexin
    Zhang, Jun
    Zhao, Tianlin
    PROCEEDINGS OF 2016 5TH IEEE INTERNATIONAL CONFERENCE ON NETWORK INFRASTRUCTURE AND DIGITAL CONTENT (IEEE IC-NIDC 2016), 2016, : 72 - 77
  • [9] Public Health Risk Assessment and Prevention Based on Big Data
    Zhang, Hua-Ying
    Pan, Tiande
    JOURNAL OF ENVIRONMENTAL AND PUBLIC HEALTH, 2022, 2022
  • [10] Application Research of an Innovative Online Education Model in Big Data Environment
    Zheng, Shi-Yong
    Jiang, Su-Ping
    Yue, Xiao-Guang
    Pu, Ruihui
    Li, Bi-Qing
    INTERNATIONAL JOURNAL OF EMERGING TECHNOLOGIES IN LEARNING, 2019, 14 (08) : 125 - 138
12345