基于分布式爬虫的微博舆情监督与情感分析系统设计
Design of Sinaweibo Public Opinion Supervision and Sentiment Analysis System Based on Distributed Crawlers
何西远 1张岳 1张秉文1
作者信息
- 1. 山东青年政治学院 信息工程学院,山东 济南 250103
- 折叠
摘要
互联网的兴起使微博等自媒体平台成为网民表达意见的主要途径.同时,网络舆情的迅速传播使得网民舆论管理成为一个难题.针对传统方法在微博舆情管理上的局限性,文章设计一种基于分布式爬虫的微博舆情监测与情感分析系统,并借助情感分析和LDA主题提取技术,对热点事件进行分析,帮助政府和企业更好地把握舆情发展动态,捍卫其社会公信力.
Abstract
The rise of the Internet has made Sinaweibo and other We Media platforms the main way for netizens to express their opinions.At the same time,the rapid spread of Internet public opinion makes the public opinion management of netizens a difficult problem.Aiming at the limitations of traditional methods in Sinaweibo public opinion management,this paper designs a Sinaweibo public opinion monitoring and sentiment analysis system based on distributed crawler.It uses sentiment analysis and LDA topic extraction technology to analyze hot events,helping governments and enterprises better grasp the development dynamics of public opinion and defend their social credibility.
关键词
网络舆情/分布式爬虫/情感分析/LDA主题提取Key words
Internet public opinion/distributed crawler/sentiment analysis/LDA topic extraction引用本文复制引用
出版年
2024
国家科技期刊平台
NSTL
万方数据