摘要
[目的/意义]网络舆情并发获取的数据驱动机理有助于快速、高效、准确获取舆情数据,把握舆情走向。[方法/过程]在探讨并发获取相关研究的基础上,对大数据环境下多媒体网络舆情并发获取的特征、数据源进行了分析,从数据源形成、线程管控、监视累积、采集存储、数据触发5个方面展开舆情并发获取的数据驱动机理论述,并深度解析机理与数据源、过程、机理间的相互作用关系[结果/结论]充实了大数据环境下多媒体网络舆情并发获取的相关理论研究,为决策者有效管控舆情态势提供可靠的理论依据。[局限]研究缺少大数据环境下多媒体网络舆情并发获取数据驱动的定量分析。
[Purpose/significance] Study on the data-driven mechanism of concurrent acquisition of network public opinion,it is helpful to obtain public opinion data more quickly,efficiently and accurately,grasping the trend of public opinion.[Method/process] Based on the related research of concurrent acquisition,this paper analyzes the characteristics and data sources of concurrent acquisition of public opinion in multimedia network under big data environment,and discusses the data-driven mechanism of concurrent acquisition of public opinion from five aspects:data source formation,thread management and control,monitoring accumulation,acquisition and storage,data triggering,and deeply analyzes the interaction between theory and data sources,processes and mechanisms.[Result/conclusion] It enriches the relevant theoretical research on concurrent acquisition of public opinion in multimedia network under big data environment,and provides reliable theoretical basis for decision makers to effectively control public opinion situation.[Limitations] It lacks the quantitative analysis of data driven of concurrent data acquisition of multimedia network public opinion under the big data environment.
出处
《情报理论与实践》
CSSCI
北大核心
2019年第6期42-48,16,共8页
Information Studies:Theory & Application
基金
国家自然科学基金面上项目“大数据环境下多媒体网络舆情信息的语义识别与危机响应研究”(项目编号:71473101)
吉林大学研究生创新研究计划项目“大数据环境下多媒体网络舆情的危机等级预警及响应研究”(项目编号:2016049)的成果
关键词
大数据
多媒体
网络舆情
并发获取
数据驱动
big data
multimedia
network public opinions
concurrent acquisition
data driven
