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Method for emergency detection and prediction

A technology for emergencies and incidents, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as curve overfitting, achieve the effect of improving accuracy, obvious effect, and reducing social losses

Active Publication Date: 2018-12-04
TIANJIN UNIV
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The growth curve fitting method based on time series can intuitively observe the changes of things and predict the development trend of things, but due to data scale, noise and other problems, it is easy to produce curve overfitting

Method used

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  • Method for emergency detection and prediction

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Embodiment Construction

[0040] The method for emergency detection and prediction of the present invention will be described in detail below with reference to the embodiments and the accompanying drawings.

[0041] Such as figure 1 As shown, the method for emergency detection and prediction of the present invention comprises the following steps:

[0042] 1) Data acquisition and preprocessing; including:

[0043] (1) obtain news data by web crawler, the source of news data that the present invention selects has these three major domestic news portal websites of Sina News, Phoenix News and Chinanews.com. Obtaining news information includes four main pieces of information: news title, news URL, news release time, and news text content:

[0044] (2) noise reduction, deduplication and encoding processing are carried out to news data; Because the present invention adopts the method for JavaScript regular expression matching to filter noise, main filtering information comprises crawling the layout mode of ...

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Abstract

The invention relates to a method for emergency detection and prediction. The method comprises: data acquisition and preprocessing; text representation and feature extraction; text clustering using anETCBS algorithm; and event lifecycle model establishment. The method effectively overcomes problems that events cannot be correctly classified and core of discussion contents and concern changes in event development are ignored since a single threshold is set, and improves accuracy rate of prediction of news events. The method improves a traditional algorithm combined with actual characteristicsof the news event, has obvious effect of improving text classification with wide discussion topic range, and is more accurate in event prediction aimed at different development processes. Through accurate prediction of emergencies, natural disasters, accidents and public social events are treated in an emergency manner, so as to greatly reduce social losses. The method is of great significance.

Description

technical field [0001] The invention relates to a topic detection technology and a topic tracking technology. In particular, it relates to a method for emergency detection and prediction. Background technique [0002] At present, the algorithms used for topic detection text clustering are mainly divided into two categories: one is incremental clustering algorithm. Incremental clustering is to maintain or change the structure of K clusters. Incremental clustering algorithm only needs to cluster new data, and does not need to re-cluster all data, so the algorithm execution efficiency is high when dealing with a large amount of new data. The typical algorithm in incremental clustering is Single-Pass algorithm. The traditional Single-Pass only sets a single fixed threshold. In reality, the optimal clustering thresholds for the similarity of various event texts are not necessarily the same. Therefore, the Single-Pass algorithm is used to classify texts. When the similarity be...

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Application Information

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IPC IPC(8): G06F17/30G06F17/27
CPCG06F40/289Y02D10/00
Inventor 李雪威沈红倩于瑞国于健赵满坤林榆旺
Owner TIANJIN UNIV