基于数据挖掘的校园网络舆情监测系统研究与设计  被引量:4

Research and Design of Campus Network Public Opinion Monitoring System Based on Data Mining

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作  者:邝楚文 KUANG Chu-wen(Huizhou Economics and Polytechnic College,Huizhou Guangdong 516001)

机构地区:[1]惠州经济职业技术学院,广东惠州516001

出  处:《数字技术与应用》2021年第5期158-161,共4页Digital Technology & Application

摘  要:数据挖掘技术在大数据时代面临着重大挑战和变革,能够针对大型复杂数据进行高速、实时地处理,由于受到大数据的影响,数据挖掘技术的变化是科学方法在大数据时代变化的重要体现。互联网上传播着越来越多的信息,学校师生普遍通过网络平台获取校园舆论信息。学校及上级单位有关部门需要针对校园网络舆情监测现状及时了解,妥善处理相关信息,实现学校相关部门实时监测校园网络信息,实现对校园网络信息的有效监控,维护网络信息的正确导向。本文通过对大数据背景下数据挖掘技术面临的问题进行分析,研究大数据为校园网络舆情监测带来的机遇,探究利用大数据挖掘技术对校园网络舆情监测。在此基础上,本文分析了当前网络系统架构,基于数据挖掘技术构建校园网络舆情信息分析框架,在对系统业务需求进行分析的基础上,给予了设计方法,并设计了校园网络舆情监测系统。Data mining technology faces significant challenges and changes in the era of big data,and is capable of processing large and complex data at high speed and in real time.Due to the influence of big data,changes in data mining technology are an important reflection of the changes in scientific methods in the era of big data.More and more information is disseminated on the Internet,and it is common for school teachers and students to obtain information about campus public opinion through online platforms.Schools and relevant departments of higher-level units need to understand the current situation of campus network opinion monitoring in a timely manner,handle relevant information properly,realize real-time monitoring of campus network information by relevant school departments,realize effective monitoring of campus network information,and maintain the correct orientation of network information.By analyzing the problems faced by data mining technology in the context of big data,this paper studies the opportunities brought by big data for campus network opinion monitoring and explores the use of big data mining technology for campus network opinion monitoring.On this basis,this paper analyzes the current network system architecture,constructs a framework for analyzing campus network public opinion information based on data mining technology,gives design methods based on the analysis of system business requirements,and designs a campus network public opinion monitoring system.

关 键 词:数据挖掘 大数据 校园网络 舆情监测 系统设计 

分 类 号:TP393[自动化与计算机技术—计算机应用技术]

 

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