摘要
大数据背景下,构建网络舆情系统能有效、及时地对舆情进行监督和引导。利用Python Django+Vue前后端分离技术方案搭建基于B/S的网络舆情系统。服务器端采用Scrapy框架爬取新浪微博的学校舆情数据,数据预处理后进行情感倾向分析;客户端展示网络舆情分析的结果。系统具有扩展性强、操作简单等特点,解决了学校网络舆情监管问题。
In the context of big data,building an online public opinion system can effectively and timely supervise and guide public opinion.Build a B/S based network public opinion system using Python Django+Vue front-end and back-end separation technology solution.The server uses the Scrapy framework to crawl school public opinion data from Sina Weibo,preprocesses the data for sentiment analysis,and the client displays the results of online public opinion analysis.The system has strong scalability and simple operation,solving the problem of school network public opinion supervision.
作者
殷美桂
Yin Meigui(College of Electronics and Information Engineering,Heyuan Polytechnic,Heyuan 517000,China)
出处
《现代计算机》
2023年第20期104-108,共5页
Modern Computer
基金
2020年河源市科技计划项目(河科〔2020〕43号)
2023年河源职业技术学院校级培育项目(2023-kjpy07)。
关键词
网络舆情
前后端分离
情感分析
爬虫
online public opinion
front and rear end separation
sentiment analysis
spider
