Design And Implementation Of Enterprise-oriented Network Public Opinion Analysis System

With the rapid development of the Internet,netizens can express their attitudes and opinions on social affairs on the Internet anytime,anywhere.The Internet has become the main carrier of public opinion.Network public opinion is the sum of people's cognition,attitudes,opinions and emotions expressed on the Internet about various social phenomena and problems in real society.It has the characteristics of suddenness,extensiveness and directivity.For enterprises,negative or false public opinion information will damage the company's brand image,thwart the company's business,and cause significant economic losses.Therefore,timely collection and analysis of relevant public opinion information of enterprises,analysis of user opinions,grasping the trend of industry public opinion,and adopting public opinion countermeasures have a very important effect on the improvement and development of enterprises.In view of the above problems and the needs of enterprises,this thesis designs and implements an enterprise-oriented network public opinion analysis system.According to the function,the system is divided into four modules: information collection module,data analysis module,data display module and system management module.The information collection module uses two analytical methods,API and HTML,to extract the content of the page and preprocesses the data.The data analysis module uses the word2 vec model to extract the vector of public opinion information text,uses the improved Single-Pass clustering algorithm to extract public opinion topics,uses Naive Bayesian method for public opinion sentiment analysis,and combines the analysis results to design and achieve public opinion grade warning function.The data display module uses a variety of methods to visually display the results of public opinion analysis to users,and provides functions for editing and downloading public opinion analysis reports.The system management module realizes the management functions of users,logs and settings of the entire system.This thesis first analyzes the research background and significance of the network public opinion analysis system,then expounds the research status and related technologies of network public opinion,then conducts requirements analysis,system design and implementation,finally tests the system comprehensively.The system adopts the development mode of front and back end separation.The front end of the system uses the Vue.js framework to develop system view layer pages,and uses Element UI and ECharts components for page beautification and data display.The system uses the Spring Boot development framework to build the background application,and uses the Scrapy crawler framework to collect information data.The system uses Redis to implement the caching scheme,and uses Mongo DB and My SQL to store data.At present,the network public opinion analysis system has been tested and used online by the company,which provides effective help for the company to analyze user opinions,respond to sudden public opinion,maintain market image,improve product quality and service quality.