A method for analyzing changes in network public opinion data based on time series analysis

Through the method based on timing analysis, a network public opinion timing data link is established, which solves the problem of difficulty in effectively monitoring and analyzing network public opinion data in the existing technology, and achieves more efficient and accurate public opinion data analysis.

CN119311858BActive Publication Date: 2025-03-25RONGXING TECH CO LTD
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Patent Information

Application Number
CN202411826983.4
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-12-12
Publication Date
2025-03-25
Estimated Expiration
2044-12-12

AI Technical Summary

Technical Problem

It is difficult for the existing technology to effectively monitor and analyze online public opinion data, especially when facing negative public opinion such as false and false, malicious rumors, it is impossible to obtain accurate monitoring results, and it is difficult to reasonably screen the continuous speech behavior of specific IPs or network accounts.

Method used

Using a time-series analysis method, the real-time data of network public opinion is processed, and collaborative analysis of multiple times and multiple features is extracted to establish a time-series data link for network public opinion, and then the changes in public opinion data are analyzed.

Benefits of technology

It improves the efficiency of public opinion data analysis, enhances the accuracy of the final output results, can effectively screen and identify the changing trends of network public opinion data, and ensures the stability and reliability of the output results.

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Abstract

The present invention relates to the field of network public opinion data change analysis, and in particular to a network public opinion data change analysis method based on time series analysis, comprising: using real-time network public opinion data to obtain network public opinion data features; establishing a network public opinion time series data chain based on time series analysis according to the real-time network public opinion data and the network public opinion data features; obtaining network public opinion data change analysis results according to the network public opinion time series data chain, introducing time series analysis into change process processing, establishing an analysis basis by extracting various features of network public opinion data and various hardware addresses associated with them, and subsequently performing cross-judgment and screening of multiple time and multiple features, gradually analyzing and obtaining changes in network public opinion data, and selecting change parts in a targeted manner, thereby improving the screening efficiency of public opinion data changes and ensuring the stability and reliability of the final output results.
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