Research On Concurrent Acquisition Mechanism And Topic Progression Tracking Of Multimedia Networks Public Opinion Information

The rapid development of big data technology,cloud computing technology,artificial intelligence and other technologies has greatly enhanced the multi-layered,enriched,and humanized design of various media network spaces of multimedia,mobile media,and self-media and other media.The convenience and intelligence of its functions have attracted the attention and use of more and more netizens.All kinds of diverse internet space carry the massive speech and information behaviors of internet people,all of which pose greater challenges to the construction of a healthy internet environment.The report of the 19 th National Congress of the Communist Party of China mentioned that "strengthening the construction of Internet content,establishing a comprehensive network governance system,and creating a clear cyberspace".Internet public opinion,as one of the important manifestations of Internet content,is of great significance for its theoretical and practical research.Broadly speaking,public opinion on the Internet is the concentrated expression of the viewpoints,opinions,attitudes,and emotions of Internet people in cyberspace.Netizens are increasingly willing to express themselves with the help of powerful Internet platforms.As a result,the problems of obtaining and managing Internet public opinion information have arisen.The scientific management of online public opinion information comes from the effective acquisition and analysis of online public opinion information.So,how to accurately and quickly obtain online public opinion information has become an urgent problem.According to a large number of literature surveys and studies,it can be seen that online public opinion is affected by the comprehensive and coordinated influence of social environment,objective facts,public perception,and online media.Therefore,it is necessary to fully consider and integrate the above-mentioned many influencing factors,and carry out analysis of network public opinion information acquisition under various technical support environments.Due to the characteristics of the concealment,mutation,diversity,interaction,and randomness of online public opinion information,coupled with the mutual conversion of the information's explicit and implicit presentation status,asystematic qualitative analysis and quantitative calculation are urgently needed Method to achieve public opinion information acquisition and measurement of its acquisition effect,in order to improve the objectivity,accuracy and efficiency of online public opinion information acquisition.With in-depth consideration of the above issues,this paper attempts to explore the related theoretical and practical research on the concurrent acquisition mechanism and topic derivation tracking of multimedia network public opinion information,and then to provide a more objective and scientific path and method of network public opinion information acquisition.At present,there are few related researches on the concurrent acquisition mechanism and topic evolution tracking of multimedia network public opinion information.The concept and connotation of concurrent acquisition of multimedia network public opinion information have not been clearly defined.The literature on topic tracking is more focused on related technology research.A comprehensive and systematic theoretical and practical analysis of the derivation tracking of public opinion topics has not been conducted.In view of this,this article comprehensively explores the concurrent acquisition mechanism and topic evolution tracking of multimedia network public opinion information based on the advantages of multiple disciplines such as informatics,management,information science,statistics,and computer science.It clarifies the concept,characteristics,and process of concurrent acquisition of multimedia public opinion information,deeply analyzes the mechanism of concurrent acquisition of online public opinion information,builds a model of concurrent acquisition of online public opinion information,and explores the connotation and process of the evolution and tracking of online public opinion topics;it details Analyze the evolutionary trend of Internet public opinion topics,and build a dynamic tracking model,verify the rationality and feasibility of the model through empirical research,with a view to developing concurrent acquisition mechanism and topic evolution tracking of online public opinion information from both theoretical and practical aspects In-depth discussions and follow-ups will improve the effectiveness of network public opinion information acquisition,thereby better and faster response to the scientific and practical management of online public opinion,IIIand further enrich the basic theoretical and practical research of online public opinion.The main research contents of this article include the following aspects.First,by summing up relevant literature at home and abroad and drawing on the current theories and methods of online public opinion,it proposes the concept,characteristics,and principles of concurrent acquisition of multimedia online public opinion,and divides the data sources of concurrent public opinion information acquisition into four types: public opinion subject,public opinion object,public opinion media,and public opinion ontology.It also discusses the process of multimedia network public opinion information concurrent acquisition.Secondly,based on the previous basic research,it explores the supporting motivation for the concurrent acquisition of multimedia public opinion information,and analyzes the temporal attributes of concurrent acquisition of online public opinion information.It describes the data source formation mechanism,thread management and control mechanism,data monitoring and accumulation mechanism,data collection and storage mechanism,and data trigger mechanism from the perspective of single-dimensional time series.It also describes the topic evolution mechanism and topic evolution tracking mechanism of concurrent acquisition of network public opinion information From the perspective of multi-dimensional situation.Finally,it analyzes the interaction mechanism of multimedia network public opinion information concurrent acquisition.Third,based on the analysis of the mechanism of concurrent acquisition of multimedia network public opinion information in a single-dimensional sequence,it clarifies the constituent elements of the concurrent acquisition of online public opinion information,and uses the DEMATEL analysis method,AHP analysis method,and FMF analysis method to construct the model of concurrent acquisition of network public opinion information.The data was collected by the crawler software,and numerical measurement was performed according to the calculation process of the model.Finally,the research results were summarized.Fourth,referring to relevant literature information,it elaborates the connotation and characteristics of multimedia Internet public opinion topic progression tracking,clarifies the process of Internet public opinion topic evolution tracking,and analyzes the tracking trend of Internet public opinion topic evolution from the perspective of time change.It clarifies the relationship between the concurrent acquisition and topic evolution tracking of multimedia network public opinion information,builds a conceptual model of multimedia network public opinion topic evolution tracking,and analyzes the tracking characteristics of each period in the evolution of public opinion topics.Fifth,based on the theoretical analysis of multimedia network public opinion topic evolution tracking,it clarifies the goal of multimedia network public opinion topic evolution tracking,and conducts an in-depth discussion of it from the perspective of abstraction-concreteness.It analyzes the process of multimedia network public opinion topic evolution tracking.It builds a multimedia network public opinion topic evolution tracking model from four aspects: the network public opinion topic evolution index,intensity,relevance,and drift.According to the constructed model,collect data for empirical analysis.Sixth,according to the research conclusions about concurrent acquisition and topic evolution tracking of multimedia public opinion information,it proposes more specific management strategies from the five dimensions of Internet public opinion object,subject,media,ontology,and situation.It fully analyzes and uses the effectively obtained public opinion information to provide objective and feasible strategic support for the comprehensive governance of online public opinion.This research broadens the research scope of Internet public opinion,it incorporates new exploration concepts from a multi-view threshold perspective,and enriches the theoretical research of concurrent acquisition and topic evolution tracking of multimedia Internet public opinion information.Through mathematical analysis,model construction,and empirical research,it provides a relatively complete set application practice quantitative system of network public opinion information concurrent acquisition and topic evolution tracking,which provides a feasible management strategy for the management and control of multimedia network public opinion in the big data environment,which helps to clean up the public opinionenvironment and promote the benign trend of online public opinion.