Design And Implementation Of Network Public Opinion Monitoring System

The analysis and research of Internet public opinion is one of the most popular topics in the field of public opinion monitoring,and the efficient application of data analysis and mining ability of information technology in the research of public opinion hot events has become one of the most important links.According to the latest research results in the field of public opinion monitoring,the analysis ability and early warning ability of domestic scholars for Internet public opinion are still in the initial stage.Although some known public opinion monitoring systems have the basic functions of collection,filtering,sorting and aggregation,few people have done in-depth analysis and Research on the important elements such as views and attitudes contained in the information.According to the emotional characteristics contained in public opinion information,this paper focuses on emotion tracking technology,and then accurately extracts and integrates the opinions and attitudes that the author hopes to express in the information,and finally constructs a public opinion monitoring system with the functions of information collection,filtering,processing and analysis.This paper describes the relevant theory of Internet public opinion monitoring,research status and results at home and abroad.Based on the above contents,thispaper analyzes the common problems and deficiencies of public opinion monitoring products in the market,and points out the actual demand and future development direction of network public opinion monitoring system products.The research results mainly include the following three aspects:(1)The topic guidance is taken as the central architecture of the network public opinion monitoring system.On this basis,the calculation logic of meta search algorithm is further improved,and the depth and breadth of text collection are further expanded.A series of operations such as denoising,de duplication,filtering and similarity calculation are used to greatly optimize the text preprocessing and effectively improve the information The efficiency and accuracy of the acquisition module.(2)The emotional feature analysis module is deeply studied.Compared with the previous public opinion analysis system,this system introduces the emotional feature analysis module,and makes an in-depth study on the text vector emotion tracking technology.The advantage of this system is that it can make the system more targeted to complete the specific task requirements proposed by users in the face of massive data.(3)It shows the design concept,module composition and function realization of the whole public opinion monitoring system,and tests and displays the functions of each section of the system with the real case as the template,which further verifies the reliability of the system.To sum up,the public opinion supervision department can use the public opinion monitoring system to accurately and quickly grasp and judge the development status and possible future development trend of Internet public opinion,which is conducive to the purification and improvement of the network environment,and to create a good public opinion ecological environment and ideological basis of positive energy for the construction of a harmonious society.