Internet public opinion crisis early-warning method

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 ...

AI Technical Summary

Problems solved by technology

The above methods are still in the exploratory stage and have not been applied in the actual network public opinion processing system

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