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大数据时代网络舆情研究的前沿演进和发展趋势
引用本文:张思龙,王兰成,娄国哲,高宾.大数据时代网络舆情研究的前沿演进和发展趋势[J].中华医学图书情报杂志,2019,28(1):50-55.
作者姓名:张思龙  王兰成  娄国哲  高宾
作者单位:国防大学政治学院军事信息与网络舆论系,上海 200433,国防大学政治学院军事信息与网络舆论系,上海 200433,国防大学政治学院军事信息与网络舆论系,上海 200433,国防大学政治学院军事信息与网络舆论系,上海 200433
基金项目:国家社科基金“信息化条件下档案社会化媒体信息资源的整合路径与机制研究”(15BTQ078);全军军事学研究生专项课题“强军网官兵上网内容和行为大数据分析及对策研究”(2018JY62);学院“十三五”课题“涉军网络舆情的知识组织方法研究”(17ZY02-34)
摘    要:大数据时代,依托大数据科学推进网络舆情研究新发展是一项重要任务。基于国内近10年网络舆情研究文献,运用科学知识图谱,分析了网络舆情研究的热点和趋势。结合大数据环境下涉军网络舆情的实际特点,从精确采集、舆情知识库、科学研判、有效管控等4方面对如何做好大数据环境下涉军网络舆情工作进行了探讨。

关 键 词:网络舆情  大数据  知识库  知识图谱
收稿时间:2018/11/30 0:00:00

Frontier evolution and development trend in studies on network public opinions in big data era
ZHANG Si-long,WANG Lan-cheng,LOU Guo-zhe and GAO Bin.Frontier evolution and development trend in studies on network public opinions in big data era[J].Chinese Journal of Medical Library and Information Science,2019,28(1):50-55.
Authors:ZHANG Si-long  WANG Lan-cheng  LOU Guo-zhe and GAO Bin
Institution:Department of Military Information and Network Public Opinions, National Defense University Political School, Shanghai 200433, China,Department of Military Information and Network Public Opinions, National Defense University Political School, Shanghai 200433, China,Department of Military Information and Network Public Opinions, National Defense University Political School, Shanghai 200433, China and Department of Military Information and Network Public Opinions, National Defense University Political School, Shanghai 200433, China
Abstract:It is an important task to promote the advances in studies on network public opinions in the big data era. The hotspots and trends in studies on network public opinions were analyzed using the scientific knowledge maps based on the domestic papers on network public opinions in recent 10 years. How to make full use of network public opinions involving military public opinions was studied in aspects of accurate collection of public opinions, development of public opinions knowledge repository, scientific judgment of public opinions, and effective control of public opinions according to the characteristics of network public opinions involving military public opinions in the big data environment.
Keywords:Network public opinions  Big data  Knowledge repository  Knowledge graph
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