舆情

舆情是人类社会生活中十分重要的产物。

Public sentiment is an important issue of human social life .

我们平时所关心的更多的是指狭义舆情。

We are usually more concerned about public sentiment is narrow .

研究内容主要包括：互联网舆情的话题发现、WEB舆情的热点发现、舆情观点挖掘等方面。

Research content mainly includes the public opinion topic founding , hotspots WEB events detecting , and public opinion mining and so on .

当前的社会环境和Internet网络环境日趋复杂，这使得对网络中舆情的有效发现与监控变得非常重要。

With the increasing complexity of the current social environment and the Internet network environment , it is more important to effectively detect and control the cyberspace public opinion .

随着Internet在全球范围内的高速发展，互联网已经成为人们获取信息的重要途径和反映社会舆情的主要载体之一。

As the high speed development of internet in the global wide , internet has become one of the most important technique for people to get information and public opinion .

主要研究了基于隐马尔科夫模型的中文分词以及全文检索引擎，系统的主体是使用C语言开发完成，是一个简单易用，功能强大的舆情监控系统。

It main research Chinese word and full-text search engine based on Markov model . The main body of the system is development completed by the use of C language .

在当前社会环境和web环境日趋复杂的条件下，网络舆情已经对社会的稳定和众多上网的人们产生了重大的影响。

In the current social environment and increasingly complex web conditions , the cyberspace public opinion has a major impact on the stability of society and many people who access the Internet .

通过热点事件在主流搜索引擎中采集到的Web页面数，定量地分析与这个事件相关的舆情演变趋势。

Use the numbers of Web pages that are collected by the hot events from the major search engines and quantitative analysis of public opinion , the evolution of trends are investigated associated with this event .

如何准确、有效的集成海量高价值的Web信息，对于诸如市场情报分析、舆情分析、商业智能等分析型应用尤为重要，具有非常重要的应用价值和现实意义。

How to integrate large-scale and high-value Web information accurately and efficiently is particularly important for such analytical applications as market intelligence , public opinion analysis and business intelligence and has good application effect and broad prospects .

本文提出基于GARCH类模型的网络舆情信息演变的波动性研究方法。

This dissertation analyzes the evolution of fluctuations of Internet public opinion information based on GARCH model .

传统的在线Web挖掘系统可以及时发现网络中的舆情信息，对舆论进行引导和监督。

Traditional online Web mining systems cab detect the public opinion information on the web . And then guidance and supervise the public opinion . However , the amount of web information is different in a different time .

实证分析了说明GARCH类模型对舆情演变的波动性分析的可行性。

The empirical analysis shows that these GARCH models are feasible in the analysis of the fluctuation of public opinion evolution .

基于该框架，本文最终在分布式基础架构Hadoop上实现了一个网络舆情监测原型系统。

And based on this framework , an Internet public opinion monitoring prototype system is established on the distributed programming architecture Hadoop .

deepweb数据集成至今仍然是一个研究热点，deepweb数据集成可以对Web数据进行有效整合，为电子商务、市场情报分析、舆情分析等应用提供支持。

Until now , Deep Web data integration is still a hot research topic . Deep Web data integration can effectively integrate data of the Web , and it can support for e-commerce , market intelligence analysis and public opinion analysis .

通过跨领域知识迁移的分析方法&基于Markov逻辑网的多任务迁移学习，设计并实现了网络舆情倾向性分析系统。

This paper proposes method of cross-domain network public opinion tendency , which is based on multi-task transfer learning based on Markov logic network , design and implement analysis system of public opinion tendency .

本文第四章研究了采用基于ARMA的单因素预测模型与多元线性回归模型相结合的预警模型进行舆情预警。

Here we make a study of applying ARMA-based forecasting model combining with multiple linear regression model in public opinion early warning system in chapter 4 of this paper .

尤其是Web2.0技术的发展，博客、论坛、新闻留言版等成为网络舆情的主要载体。

Especially with the development of the technology of Web 2.0 , blog , BBS and news message board have become the main vehicles for online public opinion .

该方法有助于网络上Blog空间的对评论集合的管理及网络舆情的及时监控，提出有效的计算Blog作者声誉度分析的方法。

This approach helps the network space for comments on the Blog a collection of network management and monitoring of public opinion in a timely manner , propose the calculation of Blog authors effective reputation analysis method .

结合社区结构分析和多时间序列趋势之间的关联规则分析，提出了一种论坛舆情趋势预测方法FSTP。

Combined with structural analysis and multi-community time-series trend analysis between the association rules , we proposed a public opinion trend predicting method FSTP in the forum .

文本挖掘在网络舆情信息分析中的应用

Application of Text Mining Technology in Analysis of Net-Mediated Public Sentiment

详细论述互联网舆情预警系统的设计与实现。

Detailed discussion of early warning Internet system design and implementation .

浅论马克思主义舆情引导的预防接种理论

" Inoculation Theory " Guided by the Public Sentiment in Marxism

对网上舆情危机预警系统方案进行探求分析。

On online public opinion crisis warning system scheme to explore analysis .

舆情监测是当前各级部门的一项重要工作。

Monitoring public opinion is currently an important task at all levels .

和谐陕西背景下舆情汇集机制的构建

Construction of Collecting Public Sentiment System in Harmonious Shaanxi Province

舆情传输的基层载体：社区民间组织

The Grass-roots Subject of Public Opinion Transmission : Community NGO

一种面向网络舆情危机预警的观点柔性挖掘模型

A New Flexible Opinion Mining Model Facing Internet Public Opinions Crisis Warning

其次，针对当前民办高等学校网络舆情与舆情应对的现状进行研究。

The current situation and response of network public opinion is studied .

最后，探讨了网络舆情对廉政建设的影响。

Finally the network impact of public opinion on the clean government .

网络舆情在很大程度上影响了地方政府政策制定和执行。

Network public opinion largely affected local government policy formulation and implementation .