大数据技术下的网络舆情分析系统研究
|
摘要
随着互联网在我国的普及,以及智能手机和无线网络的快速发展,现代互联网已经成为人们交流思想和文化传播的主要工具。互联网逐渐成为人们生活中不可缺少的一部分,与此同时,互联网每天的产生的数据呈几何数字不断增长,传统的舆情信息挖掘和分析难度不断增加,导致网络舆情分析这一工作开始进入大数据时代,同时也加大了网络舆情工作的难度。而网络舆情工作,是世界上最困难的工作之一,特别是在我国,如果不严加控制,甚至可能会威胁到我国社会的稳定。本文分析了当前我国网络舆情分析工作与大数据技术的定义和特点,尝试着将舆情分析与大数据技术融合起来,建立一种基于大数据的舆情分析模型。
With the popularity of the Internet in China,as well as the rapid development of smart phones and wireless networks,the modern Internet has become the main tool for people to exchange ideas and cultural communication.The Internet has become a part of people's life at the same time,the Internet daily data generated by geometric digital growing,the traditional public opinion mining and analysis of increasing difficulty,leading to online public opinion analysis this work began to enter the era of big data,but also increased the difficulty of the work of the network of public opinion. Internet public opinion work is one of the most difficult jobs in the world,especially in our country. Even if it is not strictly controlled,it may even threaten the stability of our society. This paper analyzes the definition and characteristics of current public opinion analysis and big data technology in China,and attempts to integrate public opinion analysis with big data technology,and establish a public opinion analysis model based on big data.
With the popularity of the Internet in China,as well as the rapid development of smart phones and wireless networks,the modern Internet has become the main tool for people to exchange ideas and cultural communication.The Internet has become a part of people's life at the same time,the Internet daily data generated by geometric digital growing,the traditional public opinion mining and analysis of increasing difficulty,leading to online public opinion analysis this work began to enter the era of big data,but also increased the difficulty of the work of the network of public opinion. Internet public opinion work is one of the most difficult jobs in the world,especially in our country. Even if it is not strictly controlled,it may even threaten the stability of our society. This paper analyzes the definition and characteristics of current public opinion analysis and big data technology in China,and attempts to integrate public opinion analysis with big data technology,and establish a public opinion analysis model based on big data.
引文
[1]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,(9):32-36.
[2]黄斯琪.基于微博平台的社交网络舆情分析方法[D].南京邮电大学,2015.
[3]李全文.新媒体舆情分析与网民思想建设[J].淮海工学院学报(人文社会科学版),2017,(6):18-22.
[4]胡沈明.舆情分析报告的新闻属性探讨[J].青年记者,2016,(19):69-71.
[5]谢树云,全晓松,申云成.大数据环境下网络舆情评估模型的构建[J].贵阳学院学报(自然科学版),2016,(1):54-57.
[6]刘英杰,黄微,李瑞.大数据网络环境下舆情信息情感维度模型构建研究[J].情报理论与实践,2016,(4):32-35.
[7]陈必坤,王曰芬,廖海涵.大数据时代社会舆情分析与决策支持研究的现状及其发展趋势[J].情报科学,2016,(10):8-14.
[8]夏盛.大数据时代下的网络舆情分析系统[J].电子技术与软件工程,2016,(17):187.
[9]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,(2):1-6+21.
[10]蔡立辉,杨欣翥.大数据在社会舆情监测与决策制定中的应用研究[J].行政论坛,2015,(2):1-10.
[11]唐涛.基于大数据的网络舆情分析方法研究[J].现代情报,2014,(3):3-6+11.
[12]王博.大数据时代网络舆情与社会治理研究[D].云南财经大学,2016.
[13]李金海,何有世,熊强.基于大数据技术的网络舆情文本挖掘研究[J].情报杂志,2014,(10):1-6+13.
[14]尹培培.大数据时代的网络舆情分析系统[J].广播与电视技术,2013,(7):44-47.
[15]梁姝珺.大数据时代下的政府管理思考[J].才智,2014,(28):269-270.
[16]David Godes,JoséC.Silva.Sequential and Temporal Dynamics of Online Opinion[J].Marketing Science,2012,(3):1110-1118.
[17]Alexandra Balahur,Jesús M.Hermida,Andrés Montoyo.Detecting implicit expressions of emotion in text:A comparative analysis[J].Decision Support Systems,2012,(4):457-464.
[2]黄斯琪.基于微博平台的社交网络舆情分析方法[D].南京邮电大学,2015.
[3]李全文.新媒体舆情分析与网民思想建设[J].淮海工学院学报(人文社会科学版),2017,(6):18-22.
[4]胡沈明.舆情分析报告的新闻属性探讨[J].青年记者,2016,(19):69-71.
[5]谢树云,全晓松,申云成.大数据环境下网络舆情评估模型的构建[J].贵阳学院学报(自然科学版),2016,(1):54-57.
[6]刘英杰,黄微,李瑞.大数据网络环境下舆情信息情感维度模型构建研究[J].情报理论与实践,2016,(4):32-35.
[7]陈必坤,王曰芬,廖海涵.大数据时代社会舆情分析与决策支持研究的现状及其发展趋势[J].情报科学,2016,(10):8-14.
[8]夏盛.大数据时代下的网络舆情分析系统[J].电子技术与软件工程,2016,(17):187.
[9]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,(2):1-6+21.
[10]蔡立辉,杨欣翥.大数据在社会舆情监测与决策制定中的应用研究[J].行政论坛,2015,(2):1-10.
[11]唐涛.基于大数据的网络舆情分析方法研究[J].现代情报,2014,(3):3-6+11.
[12]王博.大数据时代网络舆情与社会治理研究[D].云南财经大学,2016.
[13]李金海,何有世,熊强.基于大数据技术的网络舆情文本挖掘研究[J].情报杂志,2014,(10):1-6+13.
[14]尹培培.大数据时代的网络舆情分析系统[J].广播与电视技术,2013,(7):44-47.
[15]梁姝珺.大数据时代下的政府管理思考[J].才智,2014,(28):269-270.
[16]David Godes,JoséC.Silva.Sequential and Temporal Dynamics of Online Opinion[J].Marketing Science,2012,(3):1110-1118.
[17]Alexandra Balahur,Jesús M.Hermida,Andrés Montoyo.Detecting implicit expressions of emotion in text:A comparative analysis[J].Decision Support Systems,2012,(4):457-464.