基于大数据的网络舆情预测分析
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摘要
近五年以来,中国网民规模和互联网普及率都在稳步增长。随着网络日益发达,相关部门对前期数据进行获取,基于大数据技术对网络舆情预测问题进行分析,通过网络舆情预测混合算法、大数据舆情预测算法、网络舆情生命周期模型的应用,发现潜在的舆情危机,科学迅速地采取适当措施,引导事件的正确发展,很有现实意义。
In the past five years,China's internet users and internet penetration rate have been growing steadily. With the increasing development of the network,relevant departments have acquired the pre-data,analyzed the problem of network public opinion prediction based on big data technology,and applied the mixed algorithm of network public opinion prediction,big data public opinion prediction algorithm,and network public opinion life cycle model. It is of great practical significance to discover potential public opinion crisis,to take proper measures scientifically and quickly,and to guide the correct development of events.
In the past five years,China's internet users and internet penetration rate have been growing steadily. With the increasing development of the network,relevant departments have acquired the pre-data,analyzed the problem of network public opinion prediction based on big data technology,and applied the mixed algorithm of network public opinion prediction,big data public opinion prediction algorithm,and network public opinion life cycle model. It is of great practical significance to discover potential public opinion crisis,to take proper measures scientifically and quickly,and to guide the correct development of events.
引文
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[7]周耀明,李弼程.一种自适应网络舆情演化建模方法[J].数据采集与处理,2013,28(1):69-76.
[8]夏火松,甄化春.大数据环境下舆情分析与决策支持研究文献综述[J].情报杂志,2015,34(2):1-6+21.
[2]应毅,刘定一,任凯.基于大数据技术的舆情分析与决策支持系统架构研究[J].图书情报导刊,2017,2(9):32-36.
[3]游丹丹,陈福集.我国网络舆情预测研究综述[J].情报科学,2016,34(12):156-160.
[4]应毅,刘定一,任凯.社交网络的舆情热点发现模型研究[J].图书情报导刊,2018,3(9):68-71+77.
[5]兰月新,夏一雪,刘冰月,等.面向舆情大数据的网民情绪演化机理及趋势预测研究[J].情报杂志,2017,36(11):134-140.
[6]钱爱玲,瞿彬彬,卢炎生,等.多时间序列关联规则分析的论坛舆情趋势预测[J].南京航空航天大学学报,2012,44(6):904-910.
[7]周耀明,李弼程.一种自适应网络舆情演化建模方法[J].数据采集与处理,2013,28(1):69-76.
[8]夏火松,甄化春.大数据环境下舆情分析与决策支持研究文献综述[J].情报杂志,2015,34(2):1-6+21.