可视化分析技术在网络舆情研究中的应用

由于网络舆情信息具有明显的大数据特征，使用传统的数据收集、分析与表现方法不仅存在效率低下的问题，而且难以发现其中的关键信息以及信息背后的潜在特征。就此而言，发端于科学计算领域的可视化分析技术能够化繁为简，用易于理解的图形图像揭示网络舆情的分布、发展和演化规律，因而在网络舆情研究中具有非常显著的应用价值。本文根据网络舆情信息呈现形式上的差异，分别探讨了层次信息、文本信息和关系网络信息可视化方法在网络舆情研究中的应用范式和实现途径，以期推进网络舆情研究的纵深化。

The Application of Visualization in Network Public Opinion Research

As network public opinion has obvious characteristics of large data(as a concrete manifestation of the four aspects,namely massive,diverse,dynamic and low value density),using traditional data collection,analysis and presentation method not only has the problem of low efficiency,and is also difficult to find the key information and the potential characteristics behind information.In this regard,visualization analysis technology,originating from scientific calculation,can be used to make things simplified by using easily understandable graphical images to reveal network public opinion's distribution,development and evolution.Therefore,in the network public opinion research,the technology has very significant application value.Based on the difference of network public opinion's information present form,the essay respectively discussed the hierarchical information,text information and network information visualization method's application paradigm and the way of realization in the research of the Internet public opinion,in order to promote the network public opinion research in depth.