校园网络舆情信息监测系统的设计

Design of Campus Network Public Opinion Information Monitoring System

阐述网络舆论监测系统的优化设计,采用分布式的方式收集网络数据,利用卷积神经网络(CNN)对收集到的网络舆论数据进行情感分类,从而对其进行积极、消极的情绪进行评价,对热点事件进行跟踪和智能监测。实验表明,设计的系统在网络信息监控中实用有效。

This paper describes the optimal design of the network public opinion monitoring system.It collects network data in a distributed way,and uses Convolutional Neural Network(CNN)to classify the collected network public opinion data,so as to evaluate their positive and negative emotions,track and intelligently monitor hot issues.The experiment shows that the designed system is practical and effective in network information monitoring.