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Public opinion field trend prediction analysis method based on quantitative calculation

A technology of trend forecasting and analysis methods, applied in the field of public opinion analysis, which can solve the problems of public opinion crisis, numerous influencing factors of the trend of public opinion, and insufficient consideration of the judgment of the trend of public opinion.

Pending Publication Date: 2022-05-10
NO 30 INST OF CHINA ELECTRONIC TECH GRP CORP
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] Due to the complexity of network communication channels and the many factors influencing the trend of public opinion, if the judgment of the trend of the public opinion environment is not accurate, small public opinion events will quickly ferment into social hotspots, forming a major public opinion crisis, thereby endangering social stability and national security.
[0003] The existing technology has the following technical problems: 1) The judgment of the trend of public opinion is not comprehensive enough; 2) How to quantitatively analyze the trend of public opinion on a specific topic

Method used

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  • Public opinion field trend prediction analysis method based on quantitative calculation
  • Public opinion field trend prediction analysis method based on quantitative calculation
  • Public opinion field trend prediction analysis method based on quantitative calculation

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Experimental program
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Effect test

Embodiment 1

[0071] Embodiment 1: A method for forecasting and analyzing public opinion field trends based on quantitative calculations, comprising steps:

[0072] S1, get basic data;

[0073] S2. Based on the obtained basic data, conduct position detection and position trend analysis considering timing factors, and construct a sample set for judging the direction of public opinion trends;

[0074] S3, constructing the neural network model TFNN for predicting the trend of public opinion, the neural network model TFNN for predicting the trend of public opinion includes an input layer, a representation layer and an output layer, and a first fully connected layer and a first activation layer are set in the representation layer, and The output layer has a second fully connected layer and a second activation layer;

[0075] S4, using the sample data obtained by generating a sample set in step S2 to construct a trend judgment rule, train the TFNN model in step S3, and generate a public opinion ...

Embodiment 2

[0076] Embodiment 2: On the basis of Embodiment 1, in step S1, the main post and comment content data are collected from the social network platform according to the specified theme, as the basic data for judging and analyzing the trend of public opinion.

Embodiment 3

[0077] Embodiment 3: On the basis of Embodiment 1, in step S2, the described position detection and position trend analysis considering timing factors include sub-steps:

[0078] S21, comment text stance detection: According to the stance held by the comment content on the main post content and topic, analyze whether the current comment text content’s stance tendency towards the target topic is "support", "against" or "neutral", and realize the position detection of the comment content;

[0079] S22, position trend analysis: after obtaining the position of the comment text content, analyze the position trend of all comments under the topic, and generate three position sets of "support", "oppose" and "neutral";

[0080] S23, using the LSTM model to predict the changing trend of the topic position, and selecting the best inflection point in the position change as the impact timing as one of the factors for judging the trend.

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Abstract

The invention discloses a public opinion field trend prediction analysis method based on quantitative calculation, and belongs to the technical field of public opinion analysis, and the method comprises the steps: S1, obtaining basic data; s2, on the basis of the obtained basic data, carrying out standing detection and standing trend analysis based on a speaking opportunity factor, and constructing a public opinion trend judgment rule to generate a sample set; s3, constructing a public opinion trend prediction neural network model TFNN based on the speaking account and the speaking content; and S4, generating sample data obtained by a sample set according to the construction trend judgment rule in the step S2, training the TFNN model in the step S3, and obtaining a public opinion trend prediction result. Scientific and effective decision suggestions can be provided for scientific governance of the network society in the new period and judgment of the public opinion trend of the media platform.

Description

technical field [0001] The present invention relates to the technical field of public opinion analysis, and more specifically, to a method for predicting and analyzing trends in public opinion fields based on quantitative calculations. Background technique [0002] Due to the complexity of network communication channels and numerous factors influencing the trend of public opinion, if the judgment of the trend of the public opinion environment is inaccurate, small public opinion events will quickly ferment into social hotspots, forming a major public opinion crisis, thereby endangering social stability and national security. [0003] The existing technology has the following technical problems: 1) The judgment and consideration of the trend of public opinion is not comprehensive enough; 2) How to realize the quantitative analysis of the trend of public opinion on a specific topic. Contents of the invention [0004] The purpose of the present invention is to overcome the def...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/35G06F40/205G06F40/30G06K9/62G06N3/04G06N3/08
CPCG06F16/353G06F40/205G06F40/30G06N3/08G06N3/044G06F18/2414G06F18/214
Inventor 饶志宏王海兮吴喆熹王效武马军常明芳肖宁周利均杨慧
Owner NO 30 INST OF CHINA ELECTRONIC TECH GRP CORP
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