Internet public opinion crisis early-warning method

A network public opinion and crisis technology, applied in special data processing applications, instruments, electrical digital data processing, etc., to reduce workload, solve excessive computational complexity, and achieve automatic tracking and automatic early warning.

Inactive Publication Date: 2011-09-21
HANGZHOU DIANZI UNIV
View PDF0 Cites 38 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The above methods are still in the exploratory stage and have not

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
  • Internet public opinion crisis early-warning method
  • Internet public opinion crisis early-warning method
  • Internet public opinion crisis early-warning method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0086] Example: Network Public Opinion Monitoring and Early Warning

[0087] Hangzhou Internet Forum "Hangzhou Internet People's Voice" version: http: / / bbs.hangzhou.com.cn / forum-88-1.html

[0088] Time period: 2011.3.1-2011.3.5, of which 3.1-3.4 is the tracking result, and 3.5 is the prediction result.

[0089] Trend changes in hot topics see Figure 7a For an example of public opinion crisis early warning, see Figure 7b .

[0090] There are 5 hot topics as follows:

[0091] 1. Premier Wen on the moral issues of real estate developers. (Wen Jiabao, developer, morality)

[0092] 2. Postponement of retirement age. (retirement, age, postponement)

[0093] 3. Zhejiang University changed its secretary. (Zhejiang University, Secretary, Jin Deshui)

[0094] 4. Hangzhou real estate purchase restriction policy. (Hangzhou City, purchase restriction, real estate)

[0095] 5. Mao Yisheng Experimental Primary School teacher beat pupils. (Mao Yisheng, beaten, student)

[0096]...

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 an Internet public opinion crisis early-warning method. The method comprises the following steps: getting a non-thematic word library and trend mining rules; extracting Internet public opinion hotspot words; detecting Internet public opinion hotspot topics; calculating similarity of the hotspot topics and automatically tracking; performing trend mining on the hotspot topics; and performing automatic early-warning on an Internet public opinion crisis. The method is divided into two parts, namely an off-line technology and an on-line technology. The off-line technology adopts a statistical analysis and machine learning method for getting the non-thematic word library and a trend mining rule library. The on-line part comprises the following steps: firstly adopting a two-stage filtration method for fast extracting the public opinion hotspot words; then adopting a word clustering method based on co-word analysis for getting the public opinion hotspot topics; further calculating the similarity of the hotspot topics in a continuous time period, quantifying changes of the hotspot topics as time goes on, and realizing the automatic tracking of the hotspot topics; and finally adopting a fuzzy reasoning technology to mine Internet public opinion trend knowledge and realizing the automatic early-warning of the public opinion crisis. By adopting the method, a public opinion worker can timely make a treatment decision of the public opinion crisis.

Description

technical field [0001] The invention belongs to the field of intelligent information processing, and relates to a real-time network public opinion crisis early warning method. Background technique [0002] At present, the Internet has penetrated into thousands of households. It has the characteristics of wide use, wide spread, rapid spread, and no time and space restrictions. It can multiply the influence of information like a magnifying glass, especially some negative focus events and sensitive topics. Once it appears on the Internet, it may become a household name overnight, causing adverse effects such as lack of trust, brand distrust, image damage, public opposition, etc. The measures effectively channel the emotions of netizens and guide the direction of public opinion. We believe that in order to achieve the above goals, the mode of handling Internet public opinion should be changed from "post-event crisis management" to "pre-event crisis warning". [0003] In terms ...

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
IPC IPC(8): G06F17/30
Inventor 谌志群王荣波姚金良
Owner HANGZHOU DIANZI UNIV
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