WO2022105135A1

WO2022105135A1 - Information verification method and apparatus, and electronic device and storage medium

Info

Publication number: WO2022105135A1
Application number: PCT/CN2021/091432
Authority: WO
Inventors: 胡胜利; 张慧敏
Original assignee: 平安普惠企业管理有限公司
Priority date: 2020-11-23
Filing date: 2021-04-30
Publication date: 2022-05-27
Also published as: CN112418798A

Abstract

An information verification method, comprising: obtaining a set of verification items, and performing dimension classification on the set of verification items to generate a set of clustering verification items (S1); performing verification priority ranking on the set of clustering verification items to generate a verification priority list (S2); creating a general verification index table according to a verification index of each clustering verification item in the preset verification priority list (S3); and obtaining, from information to be verified, information of an item to be verified, matching the information of the item to be verified and the verification indexes in the general verification index table to obtain a matching result, and generating, according to the matching result, a verification result of the information to be verified (S4). The method can improve the efficiency of information verification.

Description

Information auditing method, device, electronic device and storage medium

This application claims the priority of the Chinese patent application filed on November 23, 2020 with the application number CN202011320977.3 and the invention title is "Information Review Method, Device, Electronic Device and Storage Medium", the entire content of which is approved by Reference is incorporated in this application.

technical field

The present application relates to the field of data processing, and in particular, to an information auditing method, apparatus, electronic device, and computer-readable storage medium.

Background technique

Information review is a key process for coordinating user demand planning. It mainly judges whether the user's application can be approved by evaluating the information submitted by the user. For example, in the financial industry, most Internet companies need to review the information submitted by users, such as the user's identity authentication information, the academic pictures uploaded by the user, bank information or social information.

technical problem

The inventor realizes that in the actual information review scenario, the information submitted by users is very large and varied. For example, customer-related information comes from the customer management system, application-related information comes from the management system, and risk control The data information comes from the risk control management system, etc. At present, it is usually necessary to review each item to be reviewed in the information submitted by the user, which easily consumes a lot of time, resulting in low information review efficiency; When the audit result of the audit project is used to give the final audit conclusion of the information, it will also take a long time, resulting in a low efficiency of information audit.

technical solutions

An information auditing method that includes:

Obtain an audit item set, perform dimension classification on the audit item set, and generate a clustered audit item set;

Performing audit priority sorting on the cluster audit item set to generate an audit priority list;

Create a general audit index table according to the audit index of each cluster audit item in the preset audit priority list;

Obtain the item information to be reviewed from the information to be reviewed, match the item information to be reviewed with the review indicators in the general review indicator table to obtain a matching result, and generate the review result of the information to be reviewed according to the matching result .

An information auditing device, the device comprising:

A classification module, used to obtain an audit item set, perform dimension classification on the audit item set, and generate a clustered audit item set;

a sorting module, used to sort the audit priority of the cluster audit item set, and generate an audit priority list;

The creation module is used to create a general audit index table according to the audit index of each cluster audit item in the preset audit priority list;

A matching module, configured to obtain the item information to be reviewed from the information to be reviewed, match the item information to be reviewed with the review indicators in the general review indicator table, obtain a matching result, and generate the to-be-reviewed item according to the matching result The audit result of the audit information.

An electronic device comprising:

at least one processor; and,

a memory communicatively coupled to the at least one processor; wherein,

The memory stores a computer program executable by the at least one processor, the computer program being executed by the at least one processor to implement the following steps:

A computer-readable storage medium having at least one computer program stored in the computer-readable storage medium, the at least one computer program being executed by a processor in an electronic device to implement the following steps:

beneficial effect

This application can realize the generalization of information review and improve the efficiency of information review.

Description of drawings

1 is a schematic flowchart of an information auditing method provided by an embodiment of the present application;

FIG. 2 is a detailed flow chart of one of the steps of the information auditing method provided in FIG. 1 in the first embodiment of the present application;

3 is a schematic diagram of a module of an information auditing device provided by an embodiment of the present application;

4 is a schematic diagram of the internal structure of an electronic device for implementing an information auditing method provided by an embodiment of the present application;

The realization, functional features and advantages of the present application will be further described with reference to the accompanying drawings in conjunction with the embodiments.

Embodiments of the present invention

It should be understood that the specific embodiments described herein are only used to explain the present application, but not to limit the present application.

The embodiment of the present application provides an information auditing method. The execution subject of the information auditing method includes, but is not limited to, at least one of electronic devices that can be configured to execute the method provided by the embodiments of the present application, such as a server and a terminal. In other words, the information auditing method can be executed by software or hardware installed in a terminal device or a server device, and the software can be a blockchain platform. The server includes but is not limited to: a single server, a server cluster, a cloud server or a cloud server cluster, and the like.

Referring to FIG. 1 , a schematic flowchart of an information auditing method provided by an embodiment of the present application is shown. In the embodiment of the present application, the information auditing method includes:

S1. Obtain an audit item set, perform dimension classification on the audit item set, and generate a clustered audit item set.

In a preferred implementation of the present application, the audit item set is obtained by accessing a pre-authorized financial enterprise background database. Further, in the embodiment of the present application, the review item set may include a large number of review items of different dimensions. For example, in the loan industry, the review item set may include: the lender's name, age, loan amount, loan For audit items with multiple dimensions such as cycle and personal assets, if each audit item is independently audited, it is easy to bring about a large time and labor cost. Therefore, in the embodiment of the present application, the audit items in the centralized audit items are reviewed. Dimensional classification is performed to divide the set of audit items into different clusters according to the dimensions of the audit items, such as age dimension, loan amount dimension, etc., to generate multiple cluster audit items to configure the cluster audit items. Unify audit rules, reduce the number of audit items and improve audit efficiency.

In detail, referring to FIG. 2 , the dimension classification is performed on the audit item set to generate a cluster audit item set, including:

S10, identifying the audit type of each audit item in the set of audit items;

S11. Cluster the audit items of the same audit type to obtain the clustered audit item set.

Wherein, identifying the audit type of the audit item includes:

Obtain the character sequence of the review item, perform feature extraction on the character sequence, obtain a character character sequence, analyze the label distribution of the review item according to the character sequence, and obtain the review item according to the label distribution. Audit type.

In an optional embodiment, the feature extraction of the character sequence is extracted by a support vector machine algorithm.

Further, the clustering of the audit items is realized by a clustering algorithm (such as k-means).

Specifically, clustering audit items of the same audit type to obtain a clustered audit item set includes:

Step 1, arbitrarily select an audit item as the cluster center point from the set of said audit items;

Step II, utilize clustering algorithm to calculate the distance value of the audit item that is selected and the cluster center point has the same audit item of audit type, select the audit item whose distance value is greater than the preset threshold value as the target audit item, and use all The target audit item is added to the cluster center point;

Step III: Repeat the above steps I and II until all the audit items in the audit item set have corresponding cluster center points, and then the cluster audit item set is obtained.

Exemplarily, the audit types include: user basic information, asset information, and credit information, and the corresponding cluster audit items are user basic information audit items, asset information audit items, and credit information audit items.

Further, in order to ensure the privacy and security of the above-mentioned clustering audit item set, the clustering audit item set may also be stored in a blockchain node.

S2. Sort the audit priority of the cluster audit item set to generate an audit priority list.

Since there are many cluster audit items in the cluster audit item set, the importance level and audit time of each cluster audit item will be different. For example, the audit time of asset information audit is longer than that of user basic information audit. Therefore, in the embodiment of the present application, by sorting the audit priority of the cluster audit item set, it is better to ensure that each cluster audit item in the cluster audit item set can be audited in an orderly manner.

Specifically, the sorting of the audit priority of the cluster audit item set to generate the audit priority list includes: identifying the grade identifier of each cluster review item in the cluster review item set; according to the grade identifier , and perform review priority sorting of the cluster review item set to obtain a review priority list.

Wherein, the grade identification is divided according to the importance of each of the cluster audit items. The degree of importance includes: the number of audits, the level of auditors, and the audit time. In detail, if the number of audits is large, the level of auditors is high, and the audit time is long, it means that the corresponding degree of importance is high, and if the number of audits is small, the level of auditors is low, and the audit time is short, it means that the corresponding degree of importance is low. .

According to the level identification, the audit priority sorting of the cluster audit item set is performed, that is, the cluster audit item with a higher level identification is ranked in the best audit priority.

S3. Create a general audit index table according to the audit index of each cluster audit item in the preset audit priority list.

This embodiment of the present application establishes an audit rule for the information to be audited by presetting the audit index of each cluster audit item in the audit priority list.

In an optional embodiment, the audit indicator includes: primary key, belonging type, processing type, data source, mapping path, and threshold, wherein the primary key, belonging type, processing type, data source, mapping path, and threshold Configuration through Sql statement.

Wherein, the primary key refers to the id of the audit item; the belonging type refers to the audit type to which the audit item belongs; the processing type refers to the audit logic of the audit item, including equal, range (between), greater than (more), less than (less); the data source is used to indicate which system the corresponding audit item is obtained from; the mapping path is used to identify the acquisition path of the corresponding audit item; all The above threshold is used to characterize the audit scope of the corresponding audit item.

Exemplarily, the audit item of the clustering audit item is the age of the client, and the audit index of the client age is configured, including: the primary key is the age of the client, the type of belonging is the user basic information class, the processing type is between, and the data source is the client system. , the mapping path is in the age field under the userInfo object, and the threshold value is between min and max.

Further, in the embodiment of the present application, a general audit index table is created according to the audit index, so as to realize the general processing of audit items, and avoid the separate audit of the information to be audited.

In detail, creating a general audit index table according to the audit index of each cluster audit item in the preset audit priority list includes: obtaining the primary key in the preset audit index, and according to the audit index For the priority of the audit items in the priority list, sort and summarize the primary key to obtain the general audit indicator table.

Further, the embodiments of the present application further include: adding or deleting audit items in the general audit index table, so as to facilitate the user to better update the audit information and improve the audit system.

S4. Obtain the item information to be reviewed from the information to be reviewed, match the item information to be reviewed with the review indicators in the general review indicator table to obtain a matching result, and generate an index of the information to be reviewed according to the matching result. Audit results.

In a preferred embodiment of the present application, the information to be reviewed refers to the data to be reviewed submitted by the user, and the item information to be reviewed refers to the information indicators that need to be reviewed contained in the information to be reviewed. For example, the user The information submitted by A is a business loan application order, and the corresponding project information to be reviewed includes: name, age, loan amount, loan time, loan period, etc.

In an optional embodiment, the item information to be reviewed is obtained through a preset review item identification script, and the preset review item identification script is compiled using a JavaScript script.

Further, the matching of the item information to be reviewed with the review indicators in the general review indicator table to obtain a matching result includes: acquiring the primary key of the item information to be reviewed, and, according to the primary key, in the general The corresponding audit index is queried in the audit index table; the matching degree between the information of the item to be audited and the queried audit index is calculated to obtain a matching result.

Wherein, the audit indicators are queried through SQL statements.

Further, the calculating the degree of matching between the item information to be reviewed and the review index includes: identifying whether the item information to be reviewed matches the queried review index, if the item information to be reviewed matches the review index. If all of the audit indicators are met, the matching degree is 1; if there is only one non-conformity between the item information to be audited and the audit index, the matching degree is 0.5; If two or more indicators do not match, the matching degree is 0.

Wherein, the audit indicators include: belonging type, processing type, data source, mapping path, threshold and the like.

Further, in the embodiment of the present application, generating the review result of the information to be reviewed according to the matching result includes: taking the average of the matching degrees of all the item information to be reviewed in the information to be reviewed to obtain the average matching degree, according to the The average matching degree is used to identify the review status of the information to be reviewed, and to obtain the review result of the information to be reviewed.

The identifying the review status of the information to be reviewed according to the average matching degree includes: if the average matching degree is 1, it indicates that the reviewing status of the information to be reviewed is successful; If the degree is 0, it indicates that the review status of the information to be reviewed is failed, and if the mean matching degree is greater than 0 and less than 1, it indicates that the review status of the information to be reviewed is pending.

Further, in this embodiment of the present application, the review result is returned to the page reviewer to ensure the accuracy of the review result.

The application first obtains the audit item set, categorizes the audit item set according to the dimensions, and generates a clustered audit item set, which realizes the unified audit rules of the audit items, reduces the number of audit items to be audited, and improves the audit efficiency; secondly , the present application sorts the audit priority of the cluster audit item set, and generates an audit priority list, which ensures that the audit items can be audited in an orderly manner, and by pre-setting each cluster audit item in the audit priority list The general audit index table is created, and the generalization of the information audit index is realized; further, the application matches the information to be audited with the audit index in the general audit index table, and generates the information to be audited. The audit result avoids the situation of giving the audit result of the final information to be audited for each audit item result. Therefore, an information auditing method proposed in this application can realize the generalization of information auditing and improve the efficiency of information auditing.

As shown in FIG. 3 , it is a functional block diagram of the information auditing device of the present application.

The information auditing apparatus 100 described in this application may be installed in an electronic device. According to the implemented functions, the information auditing apparatus may include a classification module 101 , a sorting module 102 , a creation module 103 and a matching module 104 . The modules described in the present invention can also be called units, which refer to a series of computer program segments that can be executed by the electronic device processor and can perform fixed functions, and are stored in the memory of the electronic device.

In this embodiment, the functions of each module/unit are as follows:

The classification module 101 is configured to obtain an audit item set, perform dimension classification on the audit item set, and generate a clustered audit item set.

In detail, the dimensional classification of the audit item set to generate a cluster audit item set, the classification module 101 includes: identifying the audit type of each audit item in the audit item set; Perform clustering to obtain the clustered audit item set.

Wherein, for identifying the audit type of the audit item, the classification module 101 includes:

Obtain the character sequence of the audit item, perform feature extraction on the character sequence, obtain a feature character sequence, analyze the label distribution of the audit item according to the feature character sequence, and obtain the audit item according to the label distribution. Audit type.

Specifically, to cluster audit items of the same audit type to obtain a clustered audit item set, the classification module 101 includes:

The sorting module 102 is configured to sort the audit priority of the cluster audit item set, and generate an audit priority list.

Specifically, the sorting module 102 includes: identifying the grade identifier of each clustering audit item in the clustering audit item set; According to the level identification, the audit priority sorting of the cluster audit item set is performed to obtain an audit priority list.

According to the level identification, the audit priority sorting of the cluster audit item set is performed, that is, the cluster audit item with a higher level identification is ranked in the optimal position for audit priority.

The creating module 103 is configured to create a general audit index table according to the preset audit index of each cluster audit item in the audit priority list.

Exemplarily, the audit item of the clustering audit item is the age of the client, and the audit index of the client age is configured, including: the primary key is the age of the client, the belonging type is the user basic information class, the processing type is between, and the data source is the client system. , the mapping path is in the age field under the userInfo object, and the threshold value is between min and max.

Further, in the embodiment of the present application, a general audit index table is created according to the audit index, so as to realize the general processing of audit items and avoid the separate audit of the information to be audited.

In detail, according to the preset audit index of each cluster audit item in the audit priority list, to create a general audit index table, the creation module 103 includes: obtaining the pre-set primary key in the audit index , sorting and summarizing the primary keys according to the audit item priorities in the audit priority list to obtain the general audit index table.

Further, the creating module 103 further includes: adding or deleting audit items in the general audit index table, so as to facilitate the user to update the audit information better and improve the audit system.

The matching module 104 is configured to obtain item information to be reviewed from the information to be reviewed, and to match the item information to be reviewed with the review indicator table in the general review indicator table to obtain a matching result, and according to the matching result, An audit result of the information to be audited is generated.

In an optional embodiment, the to-be-audited item information is acquired through a preset audit item identification script, and the preset audit item identification script is compiled using a JavaScript script.

Further, in the process of matching the item information to be reviewed with the review indicators in the general review indicator table to obtain a matching result, the matching module 104 includes: acquiring the primary key of the item information to be reviewed, according to the primary key , query the corresponding audit index in the general audit index table; calculate the matching degree of the item information to be audited and the queried audit index to obtain a matching result.

Wherein, the audit indicators are queried through SQL statements.

Further, in calculating the matching degree between the information of the item to be reviewed and the review index, the matching module 104 includes: identifying whether the information of the item to be reviewed matches the queried review index, if the If the audit item information and the audit index are all in conformity, the matching degree is 1; if there is only one item that does not meet the audit item information and the audit index, the matching degree is 0.5; If there are two or more discrepancies between the information and the audit indicators, the matching degree is 0.

Further, in the embodiment of the present application, according to the matching result, a review result of the information to be reviewed is generated, and the matching module 104 includes: taking an average value of the matching degrees of all the item information to be reviewed in the information to be reviewed to obtain the average value Matching degree: According to the average matching degree, the review status of the information to be reviewed is identified, and the review result of the information to be reviewed is obtained.

Wherein, identifying the review status of the information to be reviewed according to the average matching degree, the matching module 104 includes: if the average matching degree is 1, it indicates that the reviewing status of the information to be reviewed is successful, If the average matching degree is 0, it indicates that the review status of the information to be reviewed is failed, and if the average matching degree is greater than 0 and less than 1, it indicates that the review status of the information to be reviewed is pending.

The application first obtains the audit item set, categorizes the audit item set according to the dimensions, and generates a clustered audit item set, which realizes the unified audit rules of the audit items, reduces the number of audit items, and improves the audit efficiency; secondly , the present application sorts the audit priority of the cluster audit item set, and generates the audit priority list, which ensures that the audit items can be audited in an orderly manner, and by pre-setting each cluster audit item in the audit priority list The general audit index table is created, and the generalization of the information audit index is realized; further, the application matches the information to be audited with the audit index in the general audit index table, and generates the information to be audited. The audit result avoids the situation of giving the audit result of the final information to be audited for each audit item result. Therefore, the information auditing device proposed in the present application can realize the generalization of information auditing and improve the efficiency of information auditing.

As shown in FIG. 4 , it is a schematic structural diagram of an electronic device implementing the information auditing method of the present application.

The electronic device 1 may include a processor 10, a memory 11 and a bus, and may also include a computer program stored in the memory 11 and executable on the processor 10, such as an information audit program 12.

Wherein, the memory 11 includes at least one type of readable storage medium, and the readable storage medium includes flash memory, mobile hard disk, multimedia card, card-type memory (for example: SD or DX memory, etc.), magnetic memory, magnetic disk, CD etc. The memory 11 may be an internal storage unit of the electronic device 1 in some embodiments, such as a mobile hard disk of the electronic device 1 . In other embodiments, the memory 11 may also be an external storage device of the electronic device 1, such as a pluggable mobile hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital) device equipped on the electronic device 1. , SD) card, flash memory card (Flash Card), etc. Further, the memory 11 may also include both an internal storage unit of the electronic device 1 and an external storage device. The memory 11 can not only be used to store application software installed in the electronic device 1 and various types of data, such as codes for information auditing, etc., but also can be used to temporarily store data that has been output or will be output.

In some embodiments, the processor 10 may be composed of integrated circuits, for example, may be composed of a single packaged integrated circuit, or may be composed of multiple integrated circuits packaged with the same function or different functions, including one or more integrated circuits. Central Processing Unit (CPU), microprocessor, digital processing chip, graphics processor and combination of various control chips, etc. The processor 10 is the control core (Control Unit) of the electronic device, and uses various interfaces and lines to connect various components of the entire electronic device, and by running or executing the program or module (for example, executing the program) stored in the memory 11. information auditing, etc.), and call the data stored in the memory 11 to perform various functions of the electronic device 1 and process data.

The bus may be a peripheral component interconnect standard (peripheral component interconnect, referred to as PCI) bus or extended industry standard structure (extended industry standard architecture, referred to as EISA) bus, etc. The bus can be divided into address bus, data bus, control bus and so on. The bus is configured to implement connection communication between the memory 11 and at least one processor 10 and the like.

FIG. 4 only shows an electronic device with components. Those skilled in the art can understand that the structure shown in FIG. 4 does not constitute a limitation on the electronic device 1, and may include fewer or more components than those shown in the drawings. components, or a combination of certain components, or a different arrangement of components.

For example, although not shown, the electronic device 1 may also include a power source (such as a battery) for powering the various components. The management device implements functions such as charge management, discharge management, and power consumption management. The power source may also include one or more DC or AC power sources, recharging devices, power failure detection circuits, power converters or inverters, power status indicators, and any other components. The electronic device 1 may further include various sensors, Bluetooth modules, Wi-Fi modules, etc., which will not be repeated here.

Further, the electronic device 1 may also include a network interface, optionally, the network interface may include a wired interface and/or a wireless interface (such as a WI-FI interface, a Bluetooth interface, etc.), which is usually used in the electronic device 1 Establish a communication connection with other electronic devices.

Optionally, the electronic device 1 may further include a user interface, and the user interface may be a display (Display), an input unit (such as a keyboard (Keyboard)), optionally, the user interface may also be a standard wired interface or a wireless interface. Optionally, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode, organic light-emitting diode) touch device, and the like. The display may also be appropriately called a display screen or a display unit, which is used for displaying information processed in the electronic device 1 and for displaying a visualized user interface.

It should be understood that the embodiments are only used for illustration, and are not limited by this structure in the scope of the patent application.

The information audit 12 stored in the memory 11 in the electronic device 1 is a combination of multiple instructions, and when running in the processor 10, it can realize:

Specifically, for the specific implementation method of the above-mentioned instruction by the processor 10, reference may be made to the description of the relevant steps in the corresponding embodiment of FIG. 1, and details are not described herein.

Further, if the modules/units integrated in the electronic device 1 are implemented in the form of software functional units and sold or used as independent products, they may be stored in a non-volatile computer-readable storage medium. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, U disk, removable hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM, Read-Only Memory) , the computer-readable storage medium may be volatile or non-volatile, and the computer-readable storage medium includes a computer program, and when the computer program is executed by the processor, the following operations are implemented:

The specific implementation of the computer-readable storage medium of the present application is substantially the same as the specific implementation of the above-mentioned information auditing method, and will not be repeated here.

In the several embodiments provided in this application, it should be understood that the disclosed apparatus, apparatus and method may be implemented in other manners. For example, the apparatus embodiments described above are only illustrative. For example, the division of the modules is only a logical function division, and there may be other division manners in actual implementation.

The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical units, that is, may be located in one place, or may be distributed to multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution in this embodiment.

In addition, each functional module in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically alone, or two or more units may be integrated into one unit. The above-mentioned integrated units can be implemented in the form of hardware, or can be implemented in the form of hardware plus software function modules.

It will be apparent to those skilled in the art that the present application is not limited to the details of the above-described exemplary embodiments, but that the present application can be implemented in other specific forms without departing from the spirit or essential characteristics of the present application.

Accordingly, the embodiments are to be regarded in all respects as illustrative and not restrictive, and the scope of the application is to be defined by the appended claims rather than the foregoing description, which is therefore intended to fall within the scope of the claims. All changes within the meaning and scope of the equivalents of , are included in this application. Any reference signs in the claims shall not be construed as limiting the involved claim.

The blockchain referred to in this application is a new application mode of computer technologies such as distributed data storage, point-to-point transmission, consensus mechanism, and encryption algorithm. Blockchain, essentially a decentralized database, is a series of data blocks associated with cryptographic methods. Each data block contains a batch of network transaction information to verify its Validity of information (anti-counterfeiting) and generation of the next block. The blockchain can include the underlying platform of the blockchain, the platform product service layer, and the application service layer.

Furthermore, it is clear that the word "comprising" does not exclude other units or steps and the singular does not exclude the plural. Several units or means recited in the system claims can also be realized by one unit or means by means of software or hardware. Second-class terms are used to denote names and do not denote any particular order.

Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application rather than limitations. Although the present application has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical solutions of the present application can be Modifications or equivalent substitutions can be made without departing from the spirit and scope of the technical solutions of the present application.

Claims

An information auditing method, wherein the method comprises:

Obtain an audit item set, perform dimension classification on the audit item set, and generate a clustered audit item set;

Performing audit priority sorting on the cluster audit item set to generate an audit priority list;

Create a general audit index table according to the audit index of each cluster audit item in the preset audit priority list;

Obtain the item information to be reviewed from the information to be reviewed, match the item information to be reviewed with the review indicators in the general review indicator table to obtain a matching result, and generate the review result of the information to be reviewed according to the matching result .
The information auditing method according to claim 1, wherein the performing dimension classification on the auditing item set to generate a clustering auditing item set, comprising:

identifying the audit type for each audit item in the set of audit items;

The audit items of the same audit type are clustered to obtain the clustered audit item set.
The information auditing method according to claim 2, wherein the identifying the auditing type of the auditing item comprises:

Obtain the character sequence of the audit item, and perform feature extraction on the character sequence to obtain a character sequence;

According to the characteristic character sequence, analyze the label distribution of the audit item;

The audit type of the audit item is obtained according to the label distribution.
The information auditing method according to any one of claims 1 to 3, wherein, performing audit priority sorting on the cluster audit item set to generate an audit priority list, comprising:

Identifying the grade identification of each clustering review item in the clustering review item set;

According to the level identification, the audit priority sorting of the cluster audit item set is performed to obtain an audit priority list.
The information auditing method according to claim 4, wherein, according to the preset auditing index of each cluster auditing item in the auditing priority list, creating a general auditing index table, comprising:

Acquire the primary keys in the preset audit indicators, and sort and summarize the primary keys according to the audit item priorities in the audit priority list to obtain the general audit indicator table.
The information auditing method according to claim 5, wherein the matching of the item information to be audited with the auditing index in the general auditing index table to obtain a matching result, comprising:

Obtain the primary key of the item information to be reviewed, and query the corresponding review indicator table in the general review indicator table according to the primary key;

The degree of matching between the item information to be reviewed and the queried review index table is calculated to obtain a matching result.
The information auditing method according to claim 6, wherein generating the auditing result of the information to be audited according to the matching result comprises:

Taking an average of the matching degrees of all the item information to be reviewed in the information to be reviewed to obtain the average matching degree;

According to the mean matching degree, the review status of the information to be reviewed is identified, and the review result of the information to be reviewed is obtained.
An information auditing device, wherein the device comprises:

A classification module, used to obtain an audit item set, perform dimension classification on the audit item set, and generate a clustered audit item set;

a sorting module, used to sort the audit priority of the cluster audit item set, and generate an audit priority list;

The creation module is used to create a general audit index table according to the audit index of each cluster audit item in the preset audit priority list;

A matching module, configured to obtain the item information to be reviewed from the information to be reviewed, match the item information to be reviewed with the review indicators in the general review indicator table, obtain a matching result, and generate the to-be-reviewed item according to the matching result The audit result of the audit information.
An electronic device, wherein the electronic device comprises:

at least one processor; and,

a memory communicatively coupled to the at least one processor; wherein,

The memory stores a computer program executable by the at least one processor, the computer program being executed by the at least one processor to enable the at least one processor to perform the steps of:

Obtain an audit item set, perform dimension classification on the audit item set, and generate a clustered audit item set;

Performing audit priority sorting on the cluster audit item set to generate an audit priority list;

Create a general audit index table according to the audit index of each cluster audit item in the preset audit priority list;

Obtain the item information to be reviewed from the information to be reviewed, match the item information to be reviewed with the review indicators in the general review indicator table to obtain a matching result, and generate the review result of the information to be reviewed according to the matching result .
The electronic device according to claim 9, wherein, performing dimension classification on the audit item set to generate a cluster audit item set, comprising:

identifying the audit type for each audit item in the set of audit items;

The audit items of the same audit type are clustered to obtain the clustered audit item set.
The electronic device of claim 10, wherein the identifying the audit type of the audit item comprises:

Obtain the character sequence of the audit item, and perform feature extraction on the character sequence to obtain a character sequence;

According to the characteristic character sequence, analyze the label distribution of the audit item;

The audit type of the audit item is obtained according to the label distribution.
The electronic device according to any one of claims 9 to 11, wherein, performing an audit priority sorting on the cluster audit item set to generate an audit priority list, comprising:

Identifying the grade identification of each clustering review item in the clustering review item set;

According to the level identification, the audit priority sorting of the cluster audit item set is performed to obtain an audit priority list.
The electronic device according to claim 12, wherein, according to the preset audit index of each cluster audit item in the audit priority list, creating a general audit index table, comprising:

Acquire the primary keys in the preset audit indicators, and sort and summarize the primary keys according to the audit item priorities in the audit priority list to obtain the general audit indicator table.
The electronic device according to claim 13, wherein the matching of the item information to be audited with the audit index in the general audit index table to obtain a matching result, comprising:

Obtain the primary key of the item information to be reviewed, and query the corresponding review indicator table in the general review indicator table according to the primary key;

The degree of matching between the item information to be reviewed and the queried review index table is calculated to obtain a matching result.
The electronic device according to claim 14, wherein the generating an audit result of the information to be audited according to the matching result comprises:

Taking an average of the matching degrees of all the item information to be reviewed in the information to be reviewed to obtain the average matching degree;

According to the mean matching degree, the review status of the information to be reviewed is identified, and the review result of the information to be reviewed is obtained.
A computer-readable storage medium storing a computer program, wherein the computer program implements the following steps when executed by a processor:

Obtain an audit item set, perform dimension classification on the audit item set, and generate a clustered audit item set;

Performing audit priority sorting on the cluster audit item set to generate an audit priority list;

Create a general audit index table according to the audit index of each cluster audit item in the preset audit priority list;

Obtain the item information to be reviewed from the information to be reviewed, match the item information to be reviewed with the review indicators in the general review indicator table to obtain a matching result, and generate the review result of the information to be reviewed according to the matching result .
The computer-readable storage medium according to claim 16, wherein the performing dimension classification on the audit item set to generate a cluster audit item set comprises:

identifying the audit type for each audit item in the set of audit items;

The audit items of the same audit type are clustered to obtain the clustered audit item set.
The computer-readable storage medium of claim 17, wherein the identifying the audit type of the audit item comprises:

Obtain the character sequence of the audit item, and perform feature extraction on the character sequence to obtain a character sequence;

According to the characteristic character sequence, analyze the label distribution of the audit item;

The audit type of the audit item is obtained according to the label distribution.
The computer-readable storage medium according to any one of claims 16 to 18, wherein, performing an audit priority sorting on the cluster audit item set to generate an audit priority list, comprising:

Identifying the grade identification of each clustering review item in the clustering review item set;

According to the level identification, the audit priority sorting of the cluster audit item set is performed to obtain an audit priority list.
The computer-readable storage medium according to claim 19, wherein the creating a general audit index table according to the preset audit index of each cluster audit item in the audit priority list includes:

Acquire the primary keys in the preset audit indicators, and sort and summarize the primary keys according to the audit item priorities in the audit priority list to obtain the general audit indicator table.