摘要
大数据技术是新媒体时代网络信息分析的重要手段,为网络舆情处理、决策提供全新的信息资源和高效的处理技术,给舆情的治理工作带来更可靠的保障。但是,由于新媒体数据具有交互快捷、高效、多样性和随机性等特点,以及大数据技术相关模型和算法中存在着一定的误差、信息冗余等无用数据干扰,从而导致舆情决策不够准确,甚至存在一定的偏差。在此基础上,该文基于新媒体时代多源数据、深度学习和云计算等技术,将几种技术和多种变量因素有机结合起来进行深度挖掘,提高舆情智能计算能力,建立综合性网络舆情治理模型,实现多元主体共同参与、协同治理,根据舆情声量为衡量标准等方式,推进新媒体舆情监测、分析、研判和引导到处置的决策优化。
Big data technology is an important means of network information analysis in the new media era, which provides new information resources and efficient processing technology for network public opinion processing and decisionmaking, and brings a more reliable guarantee for the governance of public opinion. However, due to the characteristics of fast, efficient, diverse and random interaction of new media data, as well as some errors, information redundancy and other useless data interference in big data technology-related models and algorithms, the decision-making of public opinion is inaccurate or even incorrect. Therefore, based on multi-source data in the new media era, deep learning, cloud computing and other technologies, this paper studies the organic combination of several technologies and a variety of variable factors to carry out in-depth mining, so as to improve the intelligent computing ability of public opinion, establish a comprehensive network public opinion governance model, achieve multi-subject common participation, collaborative governance and,according to the volume of public opinion as the measurement standard and so on, promote the decision-making optimization of new media public opinion monitoring, analysis, judgment, guidance and disposal.
出处
《科技创新与应用》
2022年第28期138-141,共4页
Technology Innovation and Application
基金
河北省社会科学发展研究课题(20210301169)。
关键词
大数据
新媒体舆情
深度学习
决策优化
云计算
big data
new media public opinion
deep learning
decision optimization
cloud computing
