An analysis method of Internet public opinion early warning mechanism based on rvm-l model

Abstract

The invention discloses a method for analyzing an Internet public opinion early warning mechanism based on the RVM-L model, comprising: step 1, collecting certain types of public opinion information data on the Internet, and using the RVM regression model to perform regression simulation on the public opinion information data at each time interval Step 2, input the obtained heat function into the Logistic model, carry out the trend prediction of the function, and obtain the Logistic function; obtain the key points of the public opinion trend change by solving the Logistic function; Step 3, obtain the public opinion according to the key points of the public opinion trend change The rapid growth interval and the maximum growth trend of public opinion; given the threshold, and calculating the corresponding early warning critical area when the Logistic function value is less than the threshold; take public opinion response measures within the early warning interval to achieve effective control of public opinion outbreaks. The invention can effectively fit the public opinion information affected by multiple factors, effectively analyze the trend, accurately predict the critical area of ​​key points, and realize the effective early warning function of Internet public opinion generated by emergencies.

Description

technical field

[0001] The invention relates to the technical field of social networks, in particular to an analysis method of an Internet public opinion early warning mechanism based on an RVM-L model. Background technique

[0002] According to the 44th "Statistical Report on Internet Development in China" released by China Internet Network Information Center in August 2019, as of June 2019, the number of Internet users in my country reached 854 million, the Internet penetration rate reached 61.2%, and the search engine utilization rate was 81.3% %. The rapid increase in the number of users of Internet platforms has made the speed and scale of information gathering much faster than before. Public opinion monitoring has also shifted from public opinion tracking to public opinion early warning.

[0003] Researchers have proposed different models for Internet public opinion analysis to improve prediction accuracy, mainly including: time series-based prediction model, which use...

Examples

Embodiment Construction

[0061] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0062] In order to be able to effectively monitor and accurately describe public opinion, and to effectively predict the inflection point of public opinion, the present invention makes a reasonable analysis on how to combine models and the definition of critical areas, comprehensively considers the scenarios, and improves the model. make the prediction effect of the model better. The present invention finds that:

[0063] (1) Internet public opinion information has the characteristics of fast speed, small sample size and multiple influencing factors at the beginning of public opinion. Therefore, ...

technical field

[0001] The invention relates to the technical field of social networks, in particular to an analysis method of an Internet public opinion early warning mechanism based on an RVM-L model. Background technique

[0002] According to the 44th "Statistical Report on Internet Development in China" released by China Internet Network Information Center in August 2019, as of June 2019, the number of Internet users in my country reached 854 million, the Internet penetration rate reached 61.2%, and the search engine utilization rate was 81.3% %. The rapid increase in the number of users of Internet platforms has made the speed and scale of information gathering much faster than before. Public opinion monitoring has also shifted from public opinion tracking to public opinion early warning.

[0003] Researchers have proposed different models for Internet public opinion analysis to improve prediction accuracy, mainly including: time series-based prediction model, which use...

Examples

Embodiment Construction

[0061] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0062] In order to be able to effectively monitor and accurately describe public opinion, and to effectively predict the inflection point of public opinion, the present invention makes a reasonable analysis on how to combine models and the definition of critical areas, comprehensively considers the scenarios, and improves the model. make the prediction effect of the model better. The present invention finds that:

[0063] (1) Internet public opinion information has the characteristics of fast speed, small sample size and multiple influencing factors at the beginning of public opinion. Therefore, ...

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