Network Public Opinion Information Resource Sharing Method Based on Artificial Intelligence Algorithm

作     者：Li, Liujin 

作者机构：Students’ Affairs Office Anyang Vocational and Technical College Henan Anyang455000 China 

出 版 物：《International Journal of High Speed Electronics and Systems》 (Int. J. High Speed Electron. Syst.)

年 卷 期：2025年第34卷第1期

核心收录：

学科分类：0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 

主　　题：Data analysis artificial intelligence algorithm semantic fusion algorithm network public opinion public opinion information resource sharing 

摘      要：The network public opinion information resources include text, pictures, videos and other modes, resulting in high sharing loss value. The network public opinion information resources sharing method is based on data analysis and artificial intelligence algorithm. First, based on spatial theory, a spatial model of the emotional dimension of network public opinion big data is constructed to dynamically capture and express the multi-dimensionality and dynamism of public opinion emotions. Subsequently, advanced multimodal neural network technology was utilized to accurately identify and extract deep features of network public opinion information resources, effectively addressing data heterogeneity. Furthermore, designing and implementing a resource sharing mechanism based on semantic fusion algorithm promote efficient matching and sharing of resources through deep semantic alignment and composite semantic relationship mining. Finally, simulation tests were conducted from four aspects: data analysis, shared loss values, feature recognition effectiveness, and shared performance. The results showed that the proposed method performed well in quantitative experiments, with lower sharing loss values (about 0.01), more accurate identification of network public opinion big data features, and significantly shorter sharing completion time, average waiting time, and resource download time than the comparative methods, only 7.66 s, 2.03 s, and 5.04 s, respectively, proving its stronger sharing ability and superior performance. © 2025 World Scientific Publishing Company.