A real-time assessment method of natural disaster loss based on social media data

A technology of natural disasters and social media, applied in the evaluation field, can solve problems such as time-consuming, manpower and material resources, double calculation, time lag, etc., and achieve the effects of easy calculation, convenient data collection, and increased speed

Active Publication Date: 2022-06-21
BEIHANG UNIV
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Problems solved by technology

Focusing on the goal of assessing the direct economic losses of natural disasters, most of the assessment methods in the prior art are measured assessments after the disasters occur. Although they are relatively accurate, they require a lot of time, manpower and material resources, and there are time lags and repeated assessments. Calculation and exaggeration of disasters and other issues

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  • A real-time assessment method of natural disaster loss based on social media data
  • A real-time assessment method of natural disaster loss based on social media data
  • A real-time assessment method of natural disaster loss based on social media data

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[0014] In order to make the objectives, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention, but not to limit the present invention. In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other.

[0015] The invention proposes a real-time assessment method for natural disaster losses based on social media data, which is characterized by data-driven, real-time assessment, rich spatiotemporal dimensions, fast data cleaning based on thesaurus, good statistical significance, and the like. like figure 1 Shown is the flow chart of the present invention, specifically comprises the following steps: ...

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Abstract

A method for real-time assessment of natural disaster losses based on social media data, specifically comprising the following steps: step 1, using natural disasters as keywords to obtain social media text data; step 2, extracting text data, and processing the data to complete the text Word segmentation and emotional calibration of data; step 3, establish natural disaster-related thesaurus and anti-thesaurus; step 4, clean text data based on natural disaster-related thesaurus and anti-thesaurus thesaurus and social media data geographic information; step 5. Set the analysis period, obtain the historical disaster data of natural disasters in the analysis period, establish a multiple linear regression model, and perform iterative calculations until the significance level of the model coefficient is less than the set threshold.

Description

technical field [0001] The invention relates to an evaluation method, in particular to a real-time evaluation method of natural disaster losses based on social media data. Background technique [0002] Natural disaster loss assessment is very important for disaster prevention and rescue work. It is the basis for the allocation of human, financial and material resources for disaster relief. It is also the basis for subsidy funds and insurance compensation. The determination of size plays a decisive role. Among the many indicators for evaluating the loss of natural disasters, the direct economic loss is the most important basis for disaster relief work. Focusing on the goal of assessing the direct economic losses of natural disasters, most of the assessment methods in the existing technology are measured assessments after the occurrence of disasters. Although relatively accurate, it requires a lot of time, manpower and material resources, and there are time lags and repetitio...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/06G06F16/215
CPCG06Q10/0639
Inventor 赵吉昌宁云州盛浩
Owner BEIHANG UNIV
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