摘要
针对当前制造业转型舆情事件数据量不足,需借鉴各类网络舆情事件的丰富历史数据,同时虽然同一类型的舆情发展态势存在共性,但仅凭历史数据往往难以较好地拟合并评估新生舆情事件的发展态势。鉴于此,采用基于多重分形态势优化方法实现新生突发网络舆情事件监测。首先,使用多重分形维数分析舆情传播态势,并根据抓取的舆情事件数据,对后续舆情的发展态势作出判别;随后,引入分形插值理论实现舆情传播态势预测;最后,以某企业数字化转型舆情危机为例,验证其可行性。实验表明,该方法可对转型企业舆情事件进行实时监测和有效控制,辅助引导现代制造业转型过程中网络舆情事件的良性发展。
Aiming at the small amount of current public opinion event,it was necessary to learn from various types of online public opinion event.Although the trend of the same type was similarities,it was difficult to fit the development trend of new public opinion events based on historical data alone.A multi-fractal optimization-based public opinion monitoring method was proposed.The multi-fractal dimension was used to analyze the fractal characteristics of the public opinion propagation situation.According to the public opinion incident data,the development trend of subsequent public opinion was judged.Based on the judgment results,the fractal interpolation theory was introduced to achieve a public situation prediction industry.The electric power enterprise was taken as an example to verify the feasibility of opinion propagation.The experimental results showed that the method realized real-time monitoring and effective control of the public opinion event,and assisted the modern manufacture to control and guide the benign development of network public opinion.
作者
管永明
王刚
骆凯波
邹波
吕梁
史玉良
GUAN Yongming;WANG Gang;LUO Kaibo;ZOU Bo;LYU Liang;SHI Yuliang(School of Software,Shandong University,Jinan 250101,China;Dareway Software Co.,Ltd.,Jinan 250100,China;State Grid Chongqing Electric Power Company,Chongqing 400015,China)
出处
《计算机集成制造系统》
EI
CSCD
北大核心
2022年第4期1258-1266,共9页
Computer Integrated Manufacturing Systems
基金
国家重点研发计划资助项目(2018YFB1003800)
山东省泰山产业领军人才工程专项经费资助项目(tscy20150305)
泉城“5150”引才倍增计划经费资助项目(04512016040)
山东省重点研发计划(重大科技创新工程)资助项目(2021CXGC010103)。
关键词
现代制造业
舆情监测
多重分形
分形插值
态势预测
modern manufacturing
opinion monitoring
multi-fractal
fractal interpolation
situation prediction
