基于大数据的校园网络舆情挖掘研究

Research on Campus Network Public Opinion Mining Based on Big Data

随着信息技术的发展,高校已经成为信息化的主要阵地。在高校校园中,每天的数据量按照PB的规模级进行增长,进而给学校学生工作和思想教育带来极大的挑战。基于上述的背景,在分析大数据和舆情分析的基础上,对高校网络舆情的新特点进行了深入的分析。由此,根据上述的需求,提出一种高校网络舆情分析系统,并对其需求、功能和架构等进行了初步设计。以此,通过设计,为大数据在高校网络舆情中的应用提供借鉴参考。

With the development of information technology, colleges and universities have become the main position of information technology. In the university campus, the amount of data per day increases according to the scale of PB, which brings great challenges to the school students＆#39; work and ideological education. Based on the above background, based on the analysis of big data and public opinion analysis, this paper analyzes the new characteristics of the network public opinion in colleges and universities. Based on the above requirements, a network public opinion analysis system is proposed, and the requirements, functions and architecture of the system are preliminarily designed. Through this design, it can provide reference for the application of big data in university network public opinion.