Assessment method and device for risk degree of person and electronic equipment

A technology of risk and character, applied in the direction of electrical digital data processing, biological neural network models, instruments, etc., can solve problems such as large limitations and single data sources

Active Publication Date: 2018-02-23
杭州中奥科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In view of this, the object of the present invention is to provide a method, device and electronic equipment for assessing the risk of a person, so as t

Method used

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  • Assessment method and device for risk degree of person and electronic equipment
  • Assessment method and device for risk degree of person and electronic equipment
  • Assessment method and device for risk degree of person and electronic equipment

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Experimental program
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Embodiment 1

[0050] A method for assessing the risk of a person, refer to figure 1 , the method includes:

[0051] S102. Obtain target data, wherein the target data at least includes: character relationship data, consumption data, and dialogue data;

[0052] In the embodiment of the present invention, the types of target data are relatively wide, at least including: dialogue data, character relationship data, and consumption data. Specifically, the dialog data mainly refers to the communication data obtained from the social network, where the dialog data may be communication text data or communication voice data, which is not specifically limited in the embodiment of the present invention.

[0053] The character relationship data is generally obtained from the character relationship database, and can also be obtained from other places, which is not specifically limited in the embodiment of the present invention. The character relationship data can be kinship relationship data, colleague ...

Embodiment 2

[0105] A device for assessing the risk of a person, refer to image 3 , the device consists of:

[0106] Obtaining module 20, is used for obtaining target data, wherein, target data comprises at least: character relationship data, consumption data, dialogue data;

[0107] Construction module 21, is used for constructing character relational network by target data, wherein, the quantity of character relational network is a plurality of, and each character relational network is used for characterizing a type of character relation;

[0108] The processing module 22 is used to process the character relationship network according to the target algorithm to obtain the feature vector information of each node in the character relationship network, wherein each node in the character relationship network is used to represent an object to be evaluated;

[0109] Determining module 23, is used for inputting feature vector information to deep convolutional neural network, to determine the ...

Embodiment 3

[0127] An embodiment of the present invention provides an electronic device, referring to Figure 4 , the electronic device includes: a processor 30, a memory 31, a bus 32 and a communication interface 33, the processor 30, the communication interface 33 and the memory 31 are connected through the bus 32; the processor 30 is used to execute the executable module stored in the memory 31, For example a computer program. When the processor executes the terminal program, the steps of the method described in the method embodiment are realized.

[0128] Wherein, the memory 31 may include a high-speed random access memory (RAM, RandomAccessMemory), and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory. The communication connection between the system network element and at least one other network element is realized through at least one communication interface 33 (which can be wired or wireless), and the Internet, wide area network, local ...

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Abstract

The invention provides an assessment method and device for the risk degree of a person and electronic equipment. The method comprises the steps that target data is obtained; through the target data, person relationship networks are built; according to a target algorithm, the person relationship networks are treated to obtain characteristic vector information of each node in the person relationshipnetworks; the characteristic vector information is input to a deep convolutional neural network to determine the risk degree, of each type, of the person to be assessed. According to the assessment method for the risk degree of the person, the data resources are wide and not limited to dialog data but relates to person relationship data and consumption data, and based on the data, the multiple person relationship networks are built, so that the problem of single data resource is solved; moreover, the risk degrees, of the multiple types, of the person to be assessed can be determined, and thetypes are not limited to a certain criminal type, so that the technical problems are solved that according to existing risk degree assessment methods, the data source is single, and assessment can only be conducted on specific criminal crimes, so that the limitation is large.

Description

technical field [0001] The present invention relates to the technical field of data mining, in particular to a method, device and electronic equipment for assessing the risk of a person. Background technique [0002] With the rapid development of information technology and databases, the amount of data has shown an exponential trend of explosive growth, especially when online social tools are popularized, and the information contained in social networks is becoming more and more abundant. For the information in the social network, some data information with unique meaning can be selectively extracted to evaluate possible future events that may endanger social stability. [0003] At present, the crime assessment method based on relational network data generally first judges the dangerous type of speech of the user. Criminal assessment judgment. [0004] In the above-mentioned crime assessment method of relational network data, the source of data is relatively single, and th...

Claims

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Application Information

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IPC IPC(8): G06F17/30G06N3/04G06Q50/00G06Q50/26
CPCG06F16/9027G06F16/90335G06Q50/01G06Q50/265G06N3/045
Inventor 陆韵沈贝伦张登施展郑申俊李冰盛丽兰孙云倪骏田甜薛裕
Owner 杭州中奥科技有限公司
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