Education, Science, Technology, Innovation and Life
Open Access
Sign In

Dynamic Public Opinion Hotspot Analysis System Architecture Based on Multi-Source Fusion

Download as PDF

DOI: 10.23977/jaip.2025.080306 | Downloads: 7 | Views: 201

Author(s)

Jiaojiao Lu 1,2, Yanyan Qiao 1,2

Affiliation(s)

1 School of Information & Intelligence Engineering, University of Sanya, Sanya, Hainan, 572022, China
2 Academician Chunming Rong Workstation, Sanya, Hainan, 572022, China

Corresponding Author

Jiaojiao Lu

ABSTRACT

With the rapid proliferation of social media platforms, the impact of online public opinion on social governance has become increasingly pronounced. To overcome the limitations of traditional public opinion analysis methods-particularly their poor real-time performance and insufficient data coverage-this study proposes a dynamic public opinion hotspot analysis system architecture based on multi-source fusion, which integrates multi-platform data streams utilizing automated collection, intelligent sentiment analysis, and geospatial mapping technologies. The system enables real-time monitoring, adaptive early-warning with configurable thresholds, and AI-driven visual analytics. This research provides government agencies and enterprises with an efficient public opinion monitoring tool, demonstrating significant practical value for enhancing crisis response capabilities and improving social governance precision through data-driven insights.

KEYWORDS

Multi-Source Fusion; Public Opinion Hotspot Analysis; Public Opinion Monitoring

CITE THIS PAPER

Jiaojiao Lu, Yanyan Qiao, Dynamic Public Opinion Hotspot Analysis System Architecture Based on Multi-Source Fusion. Journal of Artificial Intelligence Practice (2025) Vol. 8: 37-43. DOI: http://dx.doi.org/10.23977/jaip.2025.080306.

REFERENCES

[1] LI Xiaoxiong. Research on machine learning-based online public opinion classification algorithms[D]. Central South University, 2022.
[2] You G, Gan S, Guo H, et al. Public opinion spread and guidance strategy under COVID-19: A SIS model analysis[J]. Axioms, 2022, 11(6): 296.
[3] Bi J, Chen X, Wang S. Development of Network Public Opinion Analysis System in Big Data Environment Based On Hadoop Architecture[J]. Procedia Computer Science, 2023, 228: 291-299.
[4] Zhou C.Online Public Opinion Analysis Model Based on Long Short-term Memory Network and Expectation Maximization[J]. Applied Mathematics and Nonlinear Sciences, 2024, 9(1).

Downloads: 15032
Visits: 475540

Sponsors, Associates, and Links


All published work is licensed under a Creative Commons Attribution 4.0 International License.

Copyright © 2016 - 2031 Clausius Scientific Press Inc. All Rights Reserved.