The Design And Implementation Of Public Figure Analysis System Based On Big Data

In this era of big data,because public figures have a high degree of social influence and public opinion attention,analyzing public figures not only can strengthen the supervision of public figures' speeches to prevent further fission of malicious public opinion information,but also can be conducted by identifying public figures with high influence to guide public opinion and promote social stability.Based on the big data environment,this article designs and develops a public figure analysis system to analyze public figures by collecting social media data on Sina Weibo.The public figure analysis system is a analyzing tool used by government agencies to conduct public opinion work.The system completes information collection,data processing,classification,and analysis of public figures to provide users with clear analysis results.It also provides information support for public opinion analysis,public opinion guidance and prevention of the spread of malicious public opinion information.This article describes the project background and development status of the public figure analysis system,analyzes the social value and development significance of the system,describes the key technologies used in the implementation of the system,and analyzes the functional and non-functional requirements.Based on this,the overall architecture design and functional module division of the system are introduced.The specific functions of the public figure analysis system include: data collection,data preprocessing,public figure analysis,fan analysis,hot topic tracking,and report generation.In the implementation process,the social media data is collected in a distributed manner,and the data is stored and analyzed through Hadoop.After preprocessing,the data is analyzed and the analysis results are visualized.The system also uses the Solr search engine to achieve data retrieval,allowing users to more easily query the information they need during using.The system is now online and officially put into use.The system improves the data collection efficiency,helps government agencies pay more attention to public figures,and tracks the trend of public opinion on hot topics,so that government agencies can more effectively carry out network public opinion supervision and conduct public opinion guides.The overall operation of the system is stable.The availability,maintainability,and safety have all met the requirements.