Research Article
Design and Implementation of Network Public Opinion Monitoring and Analysis System
@INPROCEEDINGS{10.4108/eai.28-2-2017.152296, author={Dezhi An and Guangli Wu and Jun Lu and Shengcai Zhang and Yan Li}, title={Design and Implementation of Network Public Opinion Monitoring and Analysis System}, proceedings={The 1st EAI International Conference on Multimedia Technology and Enhanced Learning}, publisher={EAI}, proceedings_a={ICMTEL}, year={2017}, month={3}, keywords={public opinion monitoring and analysis; data collection; data mining; text clustering; system design}, doi={10.4108/eai.28-2-2017.152296} }- Dezhi An
Guangli Wu
Jun Lu
Shengcai Zhang
Yan Li
Year: 2017
Design and Implementation of Network Public Opinion Monitoring and Analysis System
ICMTEL
EAI
DOI: 10.4108/eai.28-2-2017.152296
Abstract
Firstly in this paper to the domestic and foreign public opinion monitoring system and its application to the process of development and construction experience, the research results summarized based on, combined with current solutions and solutions, organize and optimize the main demand of public opinion system, system requirements are obtained, including data acquisition and pre processing needs, public opinion monitoring and analyzing the demand and application show the demand and management, business management requirements, system security and performance requirements. Secondly, the web crawler, text extraction, Chinese word segmentation and semantic analysis and text clustering techniques based on, from the characteristics of public opinion data, data acquisition, data transmission and storage mechanism, function realization characteristics are the public opinion monitoring and analysis system of the whole structure and the design idea, and from the infrastructure platform, data acquisition, data pre processing, a monitoring and analysis processing, web application of the five angles expounds the function module of the system design scheme, at the same time, the article also gives the system of business process analysis and optimization, deployment architecture and the way of realization.