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In this study, localization services and internet public opinion monitoring technology were combined to develop a public opinion monitoring system based on localization to improve the accuracy and pertinence of public opinion regulation on the Internet. The results indicated that the use of the latest cloud computing technology in this system not only improved the efficiency and accuracy of public opinion regulation, but also the convenience and applicability of the public opinion analyses. Furthermore, the system framework and structural design of the public opinion monitoring system were analyzed, and the applied technologies of each main function module were investigated. The system developed in this study could be used by the government to effectively monitor public opinion on the internet.
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