Intelligent contract auditing method and device through semantic analysis

Abstract

The invention relates to the technical field of data processing, in particular to an intelligent contract auditing method and device through semantic analysis, and the method comprises the steps: collecting chapter features of a to-be-audited contract, and calling an associated semantic auditing data table through the chapter features of the to-be-audited contract; matching keyword feature points of a to-be-audited contract through the semantic audit data table, and collecting segmented word and sentence features of the keyword feature points; performing first intelligent auditing on the to-be-audited contract through the segmented word and sentence features and the audited result to obtain a first auditing result of the to-be-audited contract; adjusting the first auditing result through the field judicial information of the to-be-audited contract to obtain a second auditing result of the to-be-audited contract; and configuring the to-be-audited contract to be implemented according to the second audit result in a preset time period, and updating the audited result of the to-be-audited contract. According to the method, the self-adaptive contract security configuration data table can be called for multiple types of contracts, and the characteristics of a contract editing environment and contract bearing crowds are fully considered.

Description

Technical Field

[0001] The present application relates to the field of data processing technology, and in particular to a method and device for intelligent contract review through semantic analysis. Background Art

[0002] With the development of the Internet, e-commerce has gradually become a new economic development model. As a link in e-commerce, electronic contracts have developed rapidly due to their simplicity and flexibility. Electronic contracts use electronic technology and the Internet as a medium, allowing two parties who do not know each other to sign an electronic contract. Compared with traditional contract signing methods, electronic contracts are quick, simple, easy to preserve, etc., so they have good development prospects.

[0003] At present, the review of contracts is usually done by staff checking the terms and conditions in the contract one by one to complete the review of the contract. The review efficiency is low, which affects the effectiveness of the contract. Taking financial transaction business as an example, financial transaction business has gradually realized the signing of financial transaction contracts on smart terminals to apply for financial transactions. The volume of financial transaction business has grown rapidly. The traditional method of relying on manual review of financial transaction contracts is inefficient and difficult to meet the growth rate of financial transaction business in the new era, resulting in a long time interval between the submission time and the effective time of the contract, which in turn leads to an increase in the time for financial transaction loan disbursement. Summary of the invention

[0004] To achieve the above objectives, this application provides the following technical solutions: According to a first aspect of the present invention, the present invention claims protection for a method for intelligent contract review through semantic analysis, comprising: Collecting chapter features of the contract to be semantically reviewed, and calling the associated semantic review data table through the chapter features of the contract to be semantically reviewed; Matching the keyword feature points of the contract to be semantically reviewed through the semantic review data table, and collecting the word segmentation sentence features of the keyword feature points; Performing a first intelligent audit on the contract to be semantically audited by using the segmentation sentence features and the audited results, and obtaining a first audit result of the contract to be semantically audited; The first review result is adjusted by using the domain judicial information of the contract to be reviewed to obtain a second review result of the contract to be semantically reviewed; The contract to be semantically reviewed is configured to be implemented with the second review result within a preset time period and the reviewed result of the contract to be semantically reviewed is updated.

[0005] Furthermore, the collecting of chapter features of the contract to be semantically reviewed and calling the associated semantic review data table through the chapter features of the contract to be semantically reviewed also include: Collecting chapter features of the contract to be semantically reviewed, and determining the scenario attributes of the contract to be semantically reviewed based on the chapter features of the contract to be semantically reviewed; Determine the semantic review data table associated with the contract to be semantically reviewed through the scenario attribute of the contract to be semantically reviewed; The risk items of the contract to be semantically reviewed are obtained from the semantic review data table.

[0006] Furthermore, the matching of the keyword feature points of the contract to be semantically reviewed through the semantic review data table and collecting the word segmentation sentence features of the keyword feature points also includes: Determine a set of keyword feature points associated with the contract to be semantically reviewed through a semantic review data table associated with the contract to be semantically reviewed; The segmentation sentence features of the keyword feature point set are collected and the importance of the segmentation sentence features is configured through the chapter features of the contract to be semantically reviewed to obtain a review importance scheme.

[0007] Furthermore, the first intelligent audit of the contract to be semantically audited is performed by using the segmentation sentence features and the audited results to obtain a first audit result of the contract to be semantically audited, and further includes: Through the audit importance scheme, the audited results at multiple time points are collected and the past implementation chapter characteristics of the audited results are obtained; The first intelligent audit of the contract to be semantically reviewed is performed through the word segmentation sentence features and the past implementation chapter features, a first implementation prediction event of the contract to be semantically reviewed is set, and a first audit result of the contract to be semantically reviewed is obtained.

[0008] Furthermore, the step of configuring the contract to be semantically reviewed to be implemented with the second review result within a preset time period and updating the reviewed result of the contract to be semantically reviewed includes: When the contract to be semantically reviewed is implemented with the second review result within a preset time period, collecting the review result evaluation value of the contract to be semantically reviewed in real time; The second audit result and the audit result evaluation value of the contract to be semantically audited are associated and updated and saved in the audited result of the contract to be semantically audited.

[0009] According to a second aspect of the present invention, the present invention claims protection for a contract intelligent auditing device through semantic analysis, comprising: A data table determination unit collects chapter features of the contract to be semantically reviewed, and calls the associated semantic review data table through the chapter features of the contract to be semantically reviewed; A word segmentation sentence feature collection unit, which matches the keyword feature points of the contract to be semantically reviewed through the semantic review data table, and collects the word segmentation sentence features of the keyword feature points; A first intelligent review unit performs a first intelligent review on the contract to be semantically reviewed by using the segmentation sentence features and the reviewed results, and obtains a first review result of the contract to be semantically reviewed; A second intelligent review unit adjusts the first review result according to the domain judicial information of the contract to be reviewed, and obtains a second review result of the contract to be semantically reviewed; The implementation audit unit configures the contract to be semantically audited to be implemented with the second audit result within a preset time period and updates the audited result of the contract to be semantically audited.

[0010] Furthermore, the data table determination unit further includes: Collecting chapter features of the contract to be semantically reviewed, and determining the scenario attributes of the contract to be semantically reviewed based on the chapter features of the contract to be semantically reviewed; Determine the semantic review data table associated with the contract to be semantically reviewed through the scenario attribute of the contract to be semantically reviewed; The risk items of the contract to be semantically reviewed are obtained from the semantic review data table.

[0011] Furthermore, the word segmentation sentence feature collection unit further includes: Determine a set of keyword feature points associated with the contract to be semantically reviewed through a semantic review data table associated with the contract to be semantically reviewed; The segmentation sentence features of the keyword feature point set are collected and the importance of the segmentation sentence features is configured through the chapter features of the contract to be semantically reviewed to obtain a review importance scheme.

[0012] Furthermore, the word segmentation sentence feature collection unit further includes: Through the audit importance scheme, the audited results at multiple time points are collected and the past implementation chapter characteristics of the audited results are obtained; The first intelligent audit of the contract to be semantically reviewed is performed through the word segmentation sentence features and the past implementation chapter features, a first implementation prediction event of the contract to be semantically reviewed is set, and a first audit result of the contract to be semantically reviewed is obtained.

[0013] Furthermore, the implementation audit unit includes: When the contract to be semantically reviewed is implemented with the second review result within a preset time period, collecting the review result evaluation value of the contract to be semantically reviewed in real time; The second audit result and the audit result evaluation value of the contract to be semantically audited are associated and updated and saved in the audited result of the contract to be semantically audited.

[0014] The present application relates to the technical field of contract configuration, and in particular to a method and device for intelligent contract review through semantic analysis, collecting chapter features of a contract to be reviewed, calling an associated semantic review data table through the chapter features of the contract to be reviewed; matching keyword feature points of the contract to be reviewed through the semantic review data table, collecting the word segmentation sentence features of the keyword feature points; performing a first intelligent review of the contract to be reviewed through the word segmentation sentence features and the reviewed results, obtaining a first review result of the contract to be reviewed; adjusting the first review result through the judicial information of the field of the contract to be reviewed, obtaining a second review result of the contract to be reviewed; configuring the contract to be reviewed to be implemented with the second review result within a preset time period and updating the reviewed result of the contract to be reviewed. The present invention can call an adaptive contract security configuration data table for multiple types of contracts, and fully consider the characteristics of the contract editing environment and the contract bearer population. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 A workflow diagram of a method for intelligent contract review through semantic analysis as claimed in an embodiment of the present application; Figure 2 A second workflow diagram of a method for intelligent contract review through semantic analysis as claimed in an embodiment of the present application; Figure 3 This is a structural unit diagram of a contract intelligent review device through semantic analysis as claimed in an embodiment of the present application. DETAILED DESCRIPTION

[0016] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. All other embodiments obtained by ordinary technicians in this field without creative work through the embodiments in the present application are within the scope of protection of this application.

[0017] The terms "first", "second" and "third" in this application are only used for descriptive purposes and cannot be understood as indicating or implying relative importance or implicitly indicating the number of indicated technical features. Therefore, the features defined as "first", "second" and "third" can explicitly or implicitly include at least one of the features. In the description of this application, the meaning of "multiple" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined. All directional indications (such as up, down, left, right, front, back...) in the embodiments of this application are only used to explain the relative position relationship, movement, etc. between the components under a certain specific posture (as shown in the accompanying drawings). If the specific posture changes, the directional indication also changes accordingly. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not limited to the listed steps or units, but optionally also includes steps or units that are not listed, or optionally also includes other steps or units inherent to these processes, methods, products or devices.

[0018] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present application. The appearance of the phrase in various locations in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0019] According to the first embodiment of the present invention, the present invention claims a method for intelligent contract review through semantic analysis, referring to Figure 1 ,include: Collecting chapter features of the contract to be semantically reviewed, and calling the associated semantic review data table through the chapter features of the contract to be semantically reviewed; Matching the keyword feature points of the contract to be semantically reviewed through the semantic review data table, and collecting the word segmentation sentence features of the keyword feature points; Performing a first intelligent audit on the contract to be semantically audited by using the segmentation sentence features and the audited results, and obtaining a first audit result of the contract to be semantically audited; The first review result is adjusted by using the domain judicial information of the contract to be reviewed to obtain a second review result of the contract to be semantically reviewed; The contract to be semantically reviewed is configured to be implemented with the second review result within a preset time period and the reviewed result of the contract to be semantically reviewed is updated.

[0020] In the embodiment of the present invention, the contract editing department performs program configuration according to actual contract requirements.

[0021] Further, the chapter features of the contract to be semantically reviewed are collected, and the associated semantic review data table is called through the chapter features of the contract to be semantically reviewed, and the semantic review data table is referred to. Figure 2 , also includes: Collecting chapter features of the contract to be semantically reviewed, and determining the scenario attributes of the contract to be semantically reviewed based on the chapter features of the contract to be semantically reviewed; Determine the semantic review data table associated with the contract to be semantically reviewed through the scenario attribute of the contract to be semantically reviewed; The risk items of the contract to be semantically reviewed are obtained from the semantic review data table.

[0022] Among them, in this embodiment, the scenario attributes of the contract to be semantically reviewed are transaction entrustment contracts and intermediary contracts; When the scenario attribute of the contract to be semantically reviewed is a transaction entrustment contract, the first semantic review data table is adopted, and the associated risk items are each level of transaction entrustment node of the transaction entrustment contract; When the scenario attribute of the contract to be semantically reviewed is an intermediary contract, a second semantic review data table is adopted, and the associated risk items are each layer of responsibility nodes of the intermediary contract.

[0023] Furthermore, the matching of the keyword feature points of the contract to be semantically reviewed through the semantic review data table and collecting the word segmentation sentence features of the keyword feature points also includes: Determine a set of keyword feature points associated with the contract to be semantically reviewed through a semantic review data table associated with the contract to be semantically reviewed; The segmentation sentence features of the keyword feature point set are collected and the importance of the segmentation sentence features is configured through the chapter features of the contract to be semantically reviewed to obtain a review importance scheme.

[0024] Among them, in this embodiment, when the scenario attribute of the contract to be semantically reviewed is a transaction entrustment contract, the first semantic review data table is adopted, and the associated risk items are each level of transaction entrustment nodes of the transaction entrustment contract, it is determined that the keyword feature point set associated with the contract to be semantically reviewed includes subject attribute keywords, transaction entrustment amount keywords, and transaction entrustment time keywords; When the scenario attribute of the contract to be semantically reviewed is an intermediary contract, the second semantic review data table is adopted, and the associated risk items are each layer of responsibility nodes of the intermediary contract, it is determined that the keyword feature point set associated with the contract to be semantically reviewed includes subject attribute keywords, subject responsibility keywords, and remedy means keywords; The importance of the segmentation sentence feature is configured by the chapter feature of the contract to be semantically reviewed, and is set by the past dispute information and template validity information of the contract to be semantically reviewed; For example, when any relevant risks appear in past dispute information, the keyword category associated with the most serious dispute is used as the keyword feature point with the highest importance; When the template validity of the contract reaches the preset time, the review importance of each keyword of the contract to be semantically reviewed is adjusted. The specific order can be set according to the template validity period of each keyword of the contract to be semantically reviewed, and the one with the shorter remaining template validity period has the highest importance.

[0025] Furthermore, the first intelligent audit of the contract to be semantically audited is performed by using the segmentation sentence features and the audited results to obtain a first audit result of the contract to be semantically audited, and further includes: Through the audit importance scheme, the audited results at multiple time points are collected and the past implementation chapter characteristics of the audited results are obtained; The first intelligent audit of the contract to be semantically reviewed is performed through the word segmentation sentence features and the past implementation chapter features, a first implementation prediction event of the contract to be semantically reviewed is set, and a first audit result of the contract to be semantically reviewed is obtained.

[0026] Among them, in this embodiment, the collection time point of the specific audited results is determined by the keyword with the highest importance among the audit importances; When the scenario attribute of the contract to be semantically reviewed is a transaction entrustment contract, the contract subjects may include the borrower and the lender; When the scenario attribute of the contract to be semantically reviewed is an intermediary contract, the contract parties may include Party A (the party demanding domestic services), Party B (the intermediary party) and Party C (the party providing domestic services).

[0027] The characteristics of the past implementation chapters include the implementation subject attributes and implementation transaction entrustment item attributes of transaction entrustment contracts at the relevant time points, as well as the implementation subject attributes, implementation transaction entrustment item attributes, ventilation status and load-bearing characteristics of intermediary contracts; The first intelligent audit of the contract to be semantically reviewed is performed using the past implementation chapter features, and the first implementation prediction event of the contract to be semantically reviewed is set as the average value of the specific past implementation chapter features to obtain the first audit result of the contract to be semantically reviewed.

[0028] In this embodiment, the first review result needs to be adjusted according to the domain judicial information of the contract to be reviewed, so as to obtain the second review result of the contract to be reviewed; The judicial information in the field includes the specific judicial cases and specific scenarios of the contract placement, including mediation status and specific scenario categories; Taking the judicial case of loan disputes as an example, the specific contract to be reviewed is a transaction entrustment contract. When most of the transaction terms in the loan dispute are in the mediation stage, the probability of the lender suing the contract decreases. In this case, it is necessary to increase the weight of the subject attributes and transaction entrustment item attributes of the contract appropriately. When most of the transaction terms within the loan dispute have changed within the recent preset time period, the probability of the lender suing the contract increases. In this case, it is necessary to appropriately reduce the weight of the subject attributes and transaction entrustment item attributes of the contract to facilitate the lender's browsing.

[0029] Furthermore, the step of configuring the contract to be semantically reviewed to be implemented with the second review result within a preset time period and updating the reviewed result of the contract to be semantically reviewed includes: When the contract to be semantically reviewed is implemented with the second review result within a preset time period, collecting the review result evaluation value of the contract to be semantically reviewed in real time; The second audit result and the audit result evaluation value of the contract to be semantically audited are associated and updated and saved in the audited result of the contract to be semantically audited.

[0030] According to a second aspect of the present invention, the present invention claims protection for a contract intelligent audit device through semantic analysis, referring to Figure 3 ,include: A data table determination unit collects chapter features of the contract to be semantically reviewed, and calls the associated semantic review data table through the chapter features of the contract to be semantically reviewed; A word segmentation sentence feature collection unit, which matches the keyword feature points of the contract to be semantically reviewed through the semantic review data table, and collects the word segmentation sentence features of the keyword feature points; A first intelligent review unit performs a first intelligent review on the contract to be semantically reviewed by using the segmentation sentence features and the reviewed results, and obtains a first review result of the contract to be semantically reviewed; A second intelligent review unit adjusts the first review result according to the domain judicial information of the contract to be reviewed, and obtains a second review result of the contract to be semantically reviewed; The implementation audit unit configures the contract to be semantically audited to be implemented with the second audit result within a preset time period and updates the audited result of the contract to be semantically audited.

[0031] Furthermore, the data table determination unit further includes: Collecting chapter features of the contract to be semantically reviewed, and determining the scenario attributes of the contract to be semantically reviewed based on the chapter features of the contract to be semantically reviewed; Determine the semantic review data table associated with the contract to be semantically reviewed through the scenario attribute of the contract to be semantically reviewed; The risk items of the contract to be semantically reviewed are obtained from the semantic review data table.

[0032] Furthermore, the word segmentation sentence feature collection unit further includes: Determine a set of keyword feature points associated with the contract to be semantically reviewed through a semantic review data table associated with the contract to be semantically reviewed; The segmentation sentence features of the keyword feature point set are collected and the importance of the segmentation sentence features is configured through the chapter features of the contract to be semantically reviewed to obtain a review importance scheme.

[0033] Furthermore, the word segmentation sentence feature collection unit further includes: Through the audit importance scheme, the audited results at multiple time points are collected and the past implementation chapter characteristics of the audited results are obtained; The first intelligent audit of the contract to be semantically reviewed is performed through the word segmentation sentence features and the past implementation chapter features, a first implementation prediction event of the contract to be semantically reviewed is set, and a first audit result of the contract to be semantically reviewed is obtained.

[0034] Furthermore, the implementation audit unit includes: When the contract to be semantically reviewed is implemented with the second review result within a preset time period, collecting the review result evaluation value of the contract to be semantically reviewed in real time; The second audit result and the audit result evaluation value of the contract to be semantically audited are associated and updated and saved in the audited result of the contract to be semantically audited.

[0035] In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of units is only a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.

[0036] In addition, each functional unit in each embodiment of the present application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The above integrated unit can be implemented in the form of calling hardware or in the form of calling software functional units. The above is only an implementation method of the present application, and does not limit the patent scope of the present application. Any equivalent structure or equivalent process transformation made using the content of the specification and drawings of this application, or directly or indirectly used in other related technical fields, is also included in the patent protection scope of the present application.

[0037] The specific implementation methods of the invention are described in detail above, but they are only examples, and the present application is not limited to the specific implementation methods described above. For those skilled in the art, any equivalent modification or substitution of the invention is also within the scope of the present application, and therefore, the equalization, modification, and improvement made without departing from the spirit and principle of the present application should be included in the scope of the present application.

Claims

1. A method for intelligent contract auditing through semantic analysis, characterized in that: include: Collecting chapter features of the contract to be semantically reviewed, and calling the associated semantic review data table through the chapter features of the contract to be semantically reviewed; Matching the keyword feature points of the contract to be semantically reviewed through the semantic review data table, and collecting the word segmentation sentence features of the keyword feature points; Performing a first intelligent audit on the contract to be semantically audited by using the segmentation sentence features and the audited results, and obtaining a first audit result of the contract to be semantically audited; The first review result is adjusted according to the domain judicial information of the contract to be reviewed, so as to obtain a second review result of the contract to be reviewed; The contract to be semantically reviewed is configured to be implemented with the second review result within a preset time period and the reviewed result of the contract to be semantically reviewed is updated.

2. A method for intelligent contract auditing through semantic analysis as claimed in claim 1, characterized in that: The collecting of chapter features of the contract to be semantically reviewed and calling the associated semantic review data table through the chapter features of the contract to be semantically reviewed also includes: Collecting chapter features of the contract to be semantically reviewed, and determining the scenario attributes of the contract to be semantically reviewed based on the chapter features of the contract to be semantically reviewed; Determine the semantic review data table associated with the contract to be semantically reviewed through the scenario attribute of the contract to be semantically reviewed; The risk items of the contract to be semantically reviewed are obtained from the semantic review data table.

3. A method for intelligent contract auditing through semantic analysis as claimed in claim 2, characterized in that: The step of matching the keyword feature points of the contract to be semantically reviewed through the semantic review data table and collecting the word segmentation sentence features of the keyword feature points also includes: Determine a set of keyword feature points associated with the contract to be semantically reviewed through a semantic review data table associated with the contract to be semantically reviewed; The segmentation sentence features of the keyword feature point set are collected and the importance of the segmentation sentence features is configured through the chapter features of the contract to be semantically reviewed to obtain a review importance scheme.

4. A method for intelligent contract auditing through semantic analysis as claimed in claim 3, characterized in that: The first intelligent audit of the contract to be semantically audited is performed by using the segmentation sentence features and the audited results to obtain a first audit result of the contract to be semantically audited, and further includes: Through the audit importance scheme, the audited results at multiple time points are collected and the past implementation chapter characteristics of the audited results are obtained; The first intelligent audit of the contract to be semantically reviewed is performed through the word segmentation sentence features and the past implementation chapter features, a first implementation prediction event of the contract to be semantically reviewed is set, and a first audit result of the contract to be semantically reviewed is obtained.

5. A method for intelligent contract auditing through semantic analysis as claimed in claim 4, characterized in that: The configuring the contract to be semantically reviewed to be implemented with the second review result within a preset time period and updating the reviewed result of the contract to be semantically reviewed includes: When the contract to be semantically reviewed is implemented with the second review result within a preset time period, collecting the review result evaluation value of the contract to be semantically reviewed in real time; The second audit result and the audit result evaluation value of the contract to be semantically audited are associated and updated and saved in the audited result of the contract to be semantically audited.

6. A smart contract auditing device based on semantic analysis, characterized in that: include: A data table determination unit collects chapter features of the contract to be semantically reviewed, and calls the associated semantic review data table through the chapter features of the contract to be semantically reviewed; A word segmentation sentence feature collection unit, which matches the keyword feature points of the contract to be semantically reviewed through the semantic review data table, and collects the word segmentation sentence features of the keyword feature points; A first intelligent review unit performs a first intelligent review on the contract to be semantically reviewed by using the segmentation sentence features and the reviewed results, and obtains a first review result of the contract to be semantically reviewed; The second intelligent review unit adjusts the first review result according to the domain judicial information of the contract to be reviewed, and obtains a second review result of the contract to be semantically reviewed; The implementation audit unit configures the contract to be semantically audited to be implemented with the second audit result within a preset time period and updates the audited result of the contract to be semantically audited.

7. The intelligent contract auditing device through semantic analysis as claimed in claim 6, characterized in that: The data table determining unit further includes: Collecting chapter features of the contract to be semantically reviewed, and determining the scenario attributes of the contract to be semantically reviewed based on the chapter features of the contract to be semantically reviewed; Determine the semantic review data table associated with the contract to be semantically reviewed through the scenario attribute of the contract to be semantically reviewed; The risk items of the contract to be semantically reviewed are obtained from the semantic review data table.

8. The intelligent contract auditing device through semantic analysis as claimed in claim 7, characterized in that: The word segmentation sentence feature collection unit further includes: Determine a set of keyword feature points associated with the contract to be semantically reviewed through a semantic review data table associated with the contract to be semantically reviewed; The segmentation sentence features of the keyword feature point set are collected and the importance of the segmentation sentence features is configured through the chapter features of the contract to be semantically reviewed to obtain a review importance scheme.

9. The intelligent contract auditing device through semantic analysis as claimed in claim 8, characterized in that: The word segmentation sentence feature collection unit further includes: Through the audit importance scheme, the audited results at multiple time points are collected and the past implementation chapter characteristics of the audited results are obtained; The first intelligent audit of the contract to be semantically reviewed is performed through the word segmentation sentence features and the past implementation chapter features, a first implementation prediction event of the contract to be semantically reviewed is set, and a first audit result of the contract to be semantically reviewed is obtained.

10. The intelligent contract auditing device through semantic analysis as claimed in claim 9, characterized in that: The implementation review unit includes: When the contract to be semantically reviewed is implemented with the second review result within a preset time period, collecting the review result evaluation value of the contract to be semantically reviewed in real time; The second audit result and the audit result evaluation value of the contract to be semantically audited are associated and updated and saved in the audited result of the contract to be semantically audited.

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