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...

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Problems solved by technology

[0004] The technical problem to be solved by the present invention is that in the prior art, in the Internet public opinion, the public opinion information has the characteristics of fast data accumulation, difficult judgment of key points, and many factors affecting information, and it is difficult to improve the prediction effect of the public opinion prediction model. Provide an analysis method of Internet public opinion early warning mechanism based on the RVM-L model, which can effectively fit public opinion information affected by multiple factors, effectively analyze trends, accurately predict critical points and critical areas, and realize emergency response to emergencies. The effective early warning function of Internet public opinion generated

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