基于大数据技术的网络舆情感知系统的分析与实现  

ANALYSIS AND REALIZATION OF ONLINE PUBLIC OPINION PERCEPTION SYSTEM BASED ON BIG DATA TECHNOLOGY

作　　者：赵淑君[1] 刘伟[1] 江凤月 ZHAO Shu-jun;LIU Wei;JIANG Feng-yue(Nanyang Institute of Technology,Nanyang 473000,China)

机构地区：[1]南阳理工学院,河南南阳473000

出　　处：《南阳理工学院学报》2023年第4期50-55,共6页Journal of Nanyang Institute of Technology

基　　金：2023年度南阳市哲学社会科学项目。

摘　　要：随着大数据技术的日趋成熟,利用大数据技术实现对海量的网络舆情数据进行采集、分析和展示,对网络舆情信息感知度得到了很大的提升,可以准确地了解网络舆情的发展态势,把握群众的情绪,对舆情事件做出高效、正确的决策。利用分布式爬虫技术来抓取数据,文本分析技术进行数据预处理和数据清洗,对数据仓库的舆情信息进行处理、分析,实现了舆情的监测、舆情的分析和舆情报告。通过大数据技术挖掘网络舆情事件,能够快速准确地感知舆情信息,可以有效提升网络舆情的管控和预防能力。With the increasing maturity of big data technology,the collection,analysis and display of massive online public opinion data have been realized by making use of big data technology,which greatly improves the perception of online public opinion information.By this,the development trend of online public opinions can be accurately understood,the moods of the masses can be grasped,and the highly efficient and correct decisions on public opinion events can be made.The distributed crawler technology is used to capture data,text analysis technology is used to preprocess and clean data,and the public opinion information in the data warehouse is processed and analyzed,thus public opinion monitoring,analyzing and reporting are realized.By mining online public opinion events through bigdata technology,public opinion information can be perceived quickly and accurately,and control and prevention abilities of online public opinions can be also improved.

关 键 词：大数据技术 舆情监测 网络爬虫 舆情分析 

分 类 号：TP391.1[自动化与计算机技术—计算机应用技术]