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

A technology of natural disasters and social media, applied in the field of evaluation, can solve problems such as time-consuming, manpower and material resources, double calculation, time lag, etc., and achieve the effect of easy calculation, guaranteed breadth, and accelerated speed

Active Publication Date: 2018-12-21
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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  • Real-time assessment method of natural disaster loss based on social media data
  • Real-time assessment method of natural disaster loss based on social media data
  • Real-time assessment method of natural disaster loss based on social media data

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Embodiment Construction

[0014] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, 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 constitute a conflict with each other.

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

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Abstract

A method for real-time assessment of natural disaster loss based on social media data comprises the following steps: step 1, acquiring social media text data with natural disaster as a keyword; 2, extracting text data and processing that data to complete word segmentation and emotion label of the text data; 3, establishing a natural disaster related vocabulary and an anti-vocabulary; 4, cleaning that text data based on the natural disaster-related thesaurus, the reverse thesaurus and the geographic information of the social media data; Step 5, setting an analysis period, acquiring the historical disaster data of the natural disaster in the analysis period, establishing a multiple linear regression model, and iteratively calculating until the significance level of the model coefficient is less than a set threshold value.

Description

technical field [0001] The invention relates to an assessment method, in particular to a real-time assessment method for natural disaster losses based on social media data. Background technique [0002] Natural disaster loss assessment is very important for disaster prevention and rescue and relief work. It is the basis for the distribution of manpower, financial and material resources for disaster relief, as well as the basis for subsidy funds and insurance compensation. The determination of scale plays a decisive role. Among many indicators for evaluating natural disaster losses, direct economic losses are 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 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 a...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06F17/30
CPCG06Q10/0639
Inventor 赵吉昌宁云州盛浩
Owner BEIHANG UNIV
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