Network public sentiment hotspot prediction and analysis method

A technology of network public opinion and analysis method, which is applied in the field of hotspot prediction and analysis of network public opinion, and can solve the problems of not well reflecting the overall performance of public opinion, and not having a relatively mature and reasonable prediction model.

Inactive Publication Date: 2010-06-30
JINAN UNIVERSITY
View PDF3 Cites 79 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0012] The main characteristics of the above three types of analysis methods are: the first and second types can judge hot information, but have obvious lag, and deal with the sudden shortage of hot public opinion information; the third type has a reasonable analysis process, but currently there is no There is no more mature and reasonable forecasting model
In addition, the above three types of analysis methods all analyze the content and numerical performance separately, which does not reflect the overall performance of public opinion well.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Network public sentiment hotspot prediction and analysis method
  • Network public sentiment hotspot prediction and analysis method
  • Network public sentiment hotspot prediction and analysis method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0053] Such as figure 1 As shown, a kind of hotspot prediction and analysis method of network public opinion of the present invention comprises the following steps:

[0054] Step (1), input the timely collected public opinion information into the hot-spot public opinion prediction model based on rapid identification of content, divide the public opinion information into hot-spot public opinion and common public opinion according to the processing results, and issue early warnings on hot-spot public opinion, which is conducive to the early detection of hot-spot public opinion. Found, early treatment.

[0055] Such as figure 2 As shown, the establishment process of the hot spot public opinion detection model based on content rapid identification described in the above-mentioned step (1) is as follows:

[0056] Step (11), collect the hot public opinion information of the public opinion monitoring target (such as a forum) for a relatively long period of time, and classify the c...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention relates to a network public sentiment hotspot prediction and analysis method, which comprises the following steps: step (1) inputting public sentiment information collected in time into a hotspot public sentiment prediction model based on fast content identification; dividing the public sentiment information into hotspot public sentiment and ordinary public sentiment according to the processing results, and sending the pre-warning for the hotspot public sentiment; step (2), inputting the ordinary public sentiment into a hotspot prediction model based on numerical value expression, carrying out numerical value pattern matching on the input ordinary public sentiment information from the participating people number distribution and the time state distribution; and detecting the hotspot public sentiment information which is omitted in the detection in the first step; step 3, analyzing the hotspot public sentiment; and step 4, predicting the hotspot public sentiment. The invention combines the contents and the numerical values, and belongs to the integrated public sentiment hotspot monitoring method with the advantages of short prediction time and accurate prediction effect.

Description

technical field [0001] The invention relates to the field of network information security, more specifically, a method for predicting and analyzing hot spots of network public opinion. Background technique [0002] Public opinion refers to the socio-political attitudes that the public generates and holds toward social managers around the occurrence, development, and changes of intermediary social events within a certain social space. It is the sum of the beliefs, attitudes, opinions and emotions expressed by a large number of people about various phenomena and problems in society. [0003] Internet public opinion is the reflection of social public opinion in Internet space, and it is a direct reflection of social public opinion. With the rapid development of the Internet, Internet public opinion has become the main manifestation of social public opinion. With the help of many characteristics of the Internet, Internet public opinion shows the following characteristics: [...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
Inventor 姚国祥罗伟其官全龙宋嘎子陈凤其
Owner JINAN UNIVERSITY
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products