Online public opinion early warning method based on LSTM model

Abstract

The invention relates to an online public opinion early warning method based on an LSTM model. The method is mainly characterized in that the method is based on an online public opinion early warningindex system and a long-short-term memory network model; the invention provides an index system comprising five dimensions of theme attributes, propagation and diffusion and the like. According to themethod, a Re-LSTM (Regulation Long Short Term Memory, long and short term memory network) model is provided on the basis, thus constraining the input weight of each unit in the network by using a regularization method, and replacing a tanh activation function with a softsign function. The method is reasonable in design, and compared with other classic models, the model constructed this time can improve the early warning accuracy and can better avoid the problems of gradient disappearance and overfitting.

Description

technical field [0001] The invention belongs to the field of network public opinion algorithm analysis, in particular to a network public opinion early warning method based on LSTM model (method on early warning of network public opinion based on long short termmemory model). Background technique [0002] Internet public opinion is a concentrated expression of various attitudes, emotions and opinions expressed and disseminated by netizens on public opinion events through the Internet. Among them, there is no lack of subjective speculation or even false information in the exchanged information, and the dissemination of such information on the Internet will inevitably have a huge impact on government credibility and social stability and development. How to control the development trend of network public opinion is particularly important. In short, a reasonable construction of network public opinion early warning index system and public opinion early warning model can effectiv...

AI Technical Summary

Problems solved by technology

[0004] The current network public opinion index system has little consideration for public opinion theme attributes and public opinion diffusion indicators, which may lead to low early warning accuracy

The current network public opinion early warning model has achieved good results, but it cannot take into account the interconnection between different characteristics of network public opinion data.

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