Online entrusted witness system based on user feedback data analysis

Abstract

The invention relates to the technical field of online entrusting and witnessing, in particular to an online entrusting and witnessing system based on user feedback data analysis. The system comprises a standard contract term database and a matching term comparison module. According to the method, a clause item storage database is established through a standard contract clause item database in combination with an intra-industry entrusted witness contract standard, different types of standard clause items are stored, the content of clause items to be confirmed and the content of ambiguous clause items are compared through a matching clause comparison module, the ambiguous clause items existing in the clause items to be confirmed are recognized, and the content of the to-be-confirmed clause items and the content of the ambiguous clause items in the to-be-confirmed clause items are compared. The ambiguous clause items which do not conform to the standard clause items are marked as abnormal clause items, the abnormal clause items are automatically marked in combination with historical data and industrial standards, corresponding reference values are provided for witnessing lawyers, the consulting time of the witnessing lawyers is shortened, and the entrusting and witnessing efficiency is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of online entrustment witnessing, and in particular to an online entrustment witnessing system based on user feedback data analysis. Background Art

[0002] Entrusted witnessing refers to a legal service in which the client entrusts a lawyer or other professional as a witness to prove the authenticity and legality of a specific legal act or fact. This service is usually used in the signing process of legal documents such as wills, contracts, and agreements to ensure that the wishes of the relevant parties are truly expressed.

[0003] In the process of online power of attorney witnessing contract signing, it is necessary to conduct online power of attorney witnessing for the contract content provided by the client. These contracts involve all walks of life. Therefore, for the witnessing lawyers, although most of the legal terms can be directly proved, there are confidential terms involving specific industries, such as the selling price of new products and R&D funds and other related terms. Since the lawyers themselves did not participate in the actual investigation, these confidential terms cannot be directly witnessed. It requires a long period of historical data review and analysis of the signing content of similar contracts. For a project, because the number of contracts that need to be signed is huge, the corresponding power of attorney witnessing will increase, which greatly reduces the efficiency of online power of attorney witnessing.

[0004] In order to address the above problems, there is an urgent need for an online delegation witness system based on user feedback data analysis. Summary of the invention

[0005] The purpose of the present invention is to provide an online delegation witness system based on user feedback data analysis to solve the problems raised in the above background technology.

[0006] To achieve the above purpose, an online entrustment witness system based on user feedback data analysis is provided, including a contract content acquisition module, a historical signing result feedback module, an ambiguous clause acquisition module, a standard contract clause database, a matching clause comparison module, and an abnormal clause adjustment planning module; The contract content acquisition module is used to identify the entrustment witness contract to be signed by the online entrustment witness platform, and obtain the content of the clauses corresponding to the entrustment witness contract, marking them as clauses to be confirmed; The historical signing result feedback module obtains the result feedback of the historical entrusted witness contracts of the same type that have been signed in combination with the content of the clauses; The ambiguous clause item acquisition module acquires the ambiguous clause items in the implementation process after the contract is signed according to the feedback of the historical entrusted witnessing contract results, and marks them as ambiguous clause items; The standard contract clause database is combined with the industry's contract standards for witnessing contracts to establish a clause storage database to store different types of standard clauses; The matching clause comparison module compares the content of the clause to be confirmed and the content of the ambiguous clause, identifies the ambiguous clause in the clause to be confirmed, and compares it with the matching standard clause in the clause storage database, and marks the ambiguous clause that does not meet the standard clause as an abnormal clause; The abnormal clause adjustment planning module adjusts the data of the abnormal clause items in combination with the provisions of the standard clause items, and provides feedback to both parties of the online contract.

[0007] As a further improvement of the technical solution, the terms to be confirmed in the contract content acquisition module include fixed item terms to be confirmed and variable item terms to be confirmed, wherein: The fixed item clause to be confirmed is a clause in which the item value is fixed; The item of the item to be confirmed for change refers to the item in which the value of the item has a range of numerical changes.

[0008] As a further improvement of the technical solution, the method for obtaining the result feedback of the same type of completed historical entrusted witness contracts in the historical signing result feedback module includes the following steps: S1. Count the historical results of contract performance and obtain the results of both parties fulfilling the contract terms in accordance with industry standards; S2. Combined with the project content specified in the clause, obtain the degree of fulfillment ; S3. Establishing fulfillment completion thresholds and fulfillment Make a comparison; When fulfillment is complete ≥ Implementation completion threshold When the corresponding clause is marked as a regular clause; When fulfillment is complete <Fulfillment completion threshold When the corresponding clause item is marked as an ambiguous clause item.

[0009] As a further improvement of the technical solution, the method for establishing a clause storage database in the standard contract clause database comprises the following steps: S10. Summarize the contents of historically signed contracts and classify and store clauses of the same type; S20, remove the clauses with ambiguous contents, and perform secondary processing on the remaining clauses; The clauses with fixed values ​​are aggregated and stored, and the corresponding average values ​​of the fixed values ​​are obtained as the comparison values ​​of the current clauses of the same type; The terms with changing values ​​are aggregated and stored, and the corresponding ranges are obtained. The minimum and maximum values ​​in each range are selected to form a new comparison range value.

[0010] As a further improvement of the technical solution, the keyword selection algorithm is used to classify and store the same type of clauses in S10, and the algorithm formula is as follows: S101, selecting keywords of products or projects in the terms and conditions, and establishing a corresponding keyword database; S102: Obtain the text combination content of the clause, and compare it with each keyword database to obtain the corresponding keyword overlap rate ; S103. Compare the overlap rates of each keyword , the keyword overlap rate The highest corresponding clause item is taken as the same type clause item as the currently compared clause item.

[0011] As a further improvement of the technical solution, the matching clause comparison module includes a contract fulfiller data integration unit, a standard value matching unit and a matching result output unit; The contract performer data integration unit collects the contract performer's historical contract performance data, obtains the performer's performance data for the same ambiguous clause or the same type of ambiguous clause in the current entrusted witness contract, and obtains the corresponding performance value; The standard value matching unit selects matching standard terms according to the matching of the ambiguous terms, and performs mean selection with the fulfillment value to obtain the final standard terms comparison value; The matching result output unit compares the standard clause item value with the corresponding value of the ambiguous clause item, and marks the ambiguous clause item that does not meet the standard as an abnormal clause item.

[0012] As a further improvement of the technical solution, the method for obtaining the final standard clause item value in the standard value matching unit includes the following steps: S100, establishing a mean selection time period, and selecting performance data of the performer in which the performer performs the same or the same type of the ambiguous clause item; S200, combining corresponding execution data, obtaining execution values ​​at different times, and calculating an average value; S300, comparing the standard clause item values ​​matched by the standard clause item database with the average values ​​corresponding to the fulfilling party to obtain a comparison difference; S400, setting a comparison threshold; When the comparison difference is less than or equal to the comparison threshold, the average value and the standard clause value are subjected to a secondary mean calculation to obtain the final standard clause comparison value; When the comparison difference is greater than the comparison threshold, the average value is eliminated and the standard clause item value is directly used as the final standard clause item comparison value.

[0013] Compared with the prior art, the present invention has the following beneficial effects: In this online entrustment witnessing system based on user feedback data analysis, a clause storage database is established through the standard contract clause database combined with the industry's entrustment witnessing contract standards to store different types of standard clauses, and the matching clause comparison module is used to compare the content of the clauses to be confirmed and the content of the ambiguous clauses, identify the ambiguous clauses in the clauses to be confirmed, mark the ambiguous clauses that do not meet the standard clauses as abnormal clauses, and automatically mark the abnormal clauses in combination with historical data and industry standards, and provide corresponding reference values ​​for witnessing lawyers to reduce their review time and improve the efficiency of entrustment witnessing. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] Figure 1 It is the overall structural diagram of the present invention; Figure 2 It is a structural block diagram of the matching clause comparison module of the present invention; Figure 3 A step diagram of a method for obtaining feedback on the results of historical entrusted witness contracts of the same type that have been signed; Figure 4 A method step diagram for establishing a clause storage database of the present invention; Figure 5 It is a step diagram of the keyword selection algorithm of the present invention; Figure 6 This is a diagram of the steps of the method for obtaining the final standard clause value of the present invention.

[0015] The meaning of each number in the figure is: 10. Contract content acquisition module; 20. Historical signing result feedback module; 30. Ambiguous clause acquisition module; 40. Database of standard contract clauses; 50. Matching clause comparison module; 510. Contract fulfiller data integration unit; 520. Standard value matching unit; 530. Matching result output unit; 60. Abnormal terms adjustment planning module. DETAILED DESCRIPTION

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

[0017] See also Figure 1 As shown, an online entrustment witness system based on user feedback data analysis is provided, including a contract content acquisition module 10, a historical signing result feedback module 20, an ambiguous clause acquisition module 30, a standard contract clause database 40, a matching clause comparison module 50 and an abnormal clause adjustment planning module 60; Among them, the contract content acquisition module 10 is used to identify the entrustment witness contract to be signed by the online entrustment witness platform, and obtain the content of the clauses corresponding to the entrustment witness contract, and mark them as clauses to be confirmed; The historical signing result feedback module 20 obtains the result feedback of the historical entrusted witness contracts of the same type that have been signed in combination with the content of the clauses; The ambiguous clause acquisition module 30 acquires the ambiguous clauses in the implementation process after the contract is signed according to the feedback of the historical entrusted witnessing contract results, and marks them as ambiguous clauses; The standard contract clause database 40 is combined with the industry's contract standards for witnessing to establish a clause storage database to store different types of standard clauses; The matching clause comparison module 50 compares the content of the clause to be confirmed and the content of the ambiguous clause, identifies the ambiguous clause in the clause to be confirmed, and compares it with the matching standard clause in the clause storage database, and marks the ambiguous clause that does not meet the standard clause as an abnormal clause; The abnormal clause adjustment planning module 60 adjusts the data of the abnormal clause in combination with the provisions of the standard clause, and feeds back to the two parties of the online contract.

[0018] When used specifically, during the online witnessing process, the online witnessing platform will first identify the witnessing contract to be signed through the contract content acquisition module 10, and obtain the clauses and items corresponding to the witnessing contract, which are marked as clauses to be confirmed, i.e., clauses and items that the lawyer cannot directly witness. The clauses and items that can be directly witnessed include the cited legal provisions and the legally prescribed time limit and subject amount, etc.; In order to reduce the witnessing time of lawyers for the terms to be confirmed in the later stage, it is necessary to obtain the feedback of the results of historical entrusted witnessing contracts of the same type that have been signed in combination with the content of the terms through the historical signing result feedback module 20, such as the completed contracts in the same industry or the completed contracts with the same content of different signing parties. Although some terms comply with the legal provisions, there are some slightly unfair terms for the signing parties. For example, the signed contract is a commission contract for a new product. The later operating status cannot be predicted before signing, resulting in unfairness to both parties or one of the parties in the actual performance of the contract. At this time, the ambiguous terms acquisition module 30 is required to obtain the ambiguous terms in the implementation process after the contract is signed according to the historical entrusted witnessing contract result feedback, and mark them as ambiguous terms. At the same time, the standard contract terms database 40 combines the entrusted witnessing contract standards in the industry to establish a terms storage database to store different types of standard terms, such as the signing of contracts for the same or similar products. The standard terms for signing different types of contracts are obtained according to the signing result feedback, market feedback and the cost in the production process. When there are still ambiguous clauses in the online power of attorney witnessing, it is necessary to compare the content of the terms to be confirmed and the content of the ambiguous clauses through the matching clause comparison module 50, identify the ambiguous clauses in the terms to be confirmed, and compare them with the matching standard clauses in the clause storage database. The ambiguous clauses that do not meet the standard clauses are marked as abnormal clauses and provided to the lawyers who witness the online power of attorney. At the same time, in order to further improve the efficiency of power of attorney witnessing, the abnormal clause adjustment planning module 60 is combined with the provisions of the standard clauses to adjust the data of the abnormal clauses, and feedback is given to the two parties to the contract signed online. After the adjustment, it is sent to the online power of attorney witnessing platform for secondary witnessing.

[0019] In addition, the terms to be confirmed in the contract content acquisition module 10 include fixed item terms to be confirmed and variable item terms to be confirmed, where: The fixed item clause items to be confirmed are those in which the item values ​​in the clause items involved are fixed; The item of the item to be confirmed for change is the item in which the value of the item involved has a range of numerical changes.

[0020] During specific use, since different clauses involve different contents, the corresponding values ​​may also be different. Therefore, the present invention marks the clauses with fixed project values ​​as fixed project clauses to be confirmed, and the clauses with a range of numerical variations as variable project clauses to be confirmed. For example, the unit price of a product will vary in corresponding costs due to different production processes. However, in order to meet market demand, the corresponding unit price of products of the same type must be selected within the market standard range. Therefore, it is a variable project clause to be confirmed. It is worth noting that the clauses that do not involve numerical values ​​are marked as fixed project clauses to be confirmed.

[0021] Further, such as Figure 3 As shown, the method for obtaining the result feedback of the same type of completed historical entrusted witness contracts in the historical signing result feedback module 20 includes the following steps: S1. Count the historical results of contract performance and obtain the results of both parties fulfilling the contract terms in accordance with industry standards; S2. Combined with the project content specified in the clause, obtain the degree of fulfillment ; S3. Establishing fulfillment completion thresholds and fulfillment Make a comparison; When fulfillment is complete ≥ Implementation completion threshold When the corresponding clause is marked as a regular clause; When fulfillment is complete <Fulfillment completion threshold When the corresponding clause item is marked as an ambiguous clause item.

[0022] In specific use, since there is less information available for witness lawyers to query for the entrusted witnesses corresponding to the unpopular products or unpopular projects in the following industries, it is necessary to use the previous historical contract performance results of the same type of contracts signed, and through the feedback of the corresponding data, firstly count the historical entrusted witness contract performance results, obtain the result data of the contract parties fulfilling the contract terms in accordance with the industry standards, and combine the project content specified in the terms to obtain the fulfillment completion degree. For example, the amount of completion or the quality of completion within the specified time limit can be used as a reference to determine whether the current terms are ambiguous. In order to further compare, it is necessary to combine the contents of different terms and the average level of similar products or projects in the actual industry to formulate corresponding fulfillment completion thresholds. and fulfillment Make a comparison; When fulfillment is complete ≥ Implementation completion threshold When the corresponding clause is marked as a regular clause; When fulfillment is complete <Fulfillment completion threshold When the corresponding clause is marked as an ambiguous clause; For example, a certain clause stipulates that one party to the contract must complete 90% of the product volume within one month. However, according to the average level of industry standards, only 70% of the product volume can be completed within this specified time. The party performing the contract completed 80% within the specified time, which means that it met the industry standard, but was unable to complete the content specified in the clause. Therefore, the clause is ambiguous and not conducive to the party performing the contract. Therefore, the clause will be marked as an ambiguous clause.

[0023] Further, if Figure 4 As shown, the method for establishing a clause storage database in the standard contract clause database 40 includes the following steps: S10. Summarize the contents of historically signed contracts and classify and store clauses of the same type; S20, remove the clauses with ambiguous contents, and perform secondary processing on the remaining clauses; The clauses with fixed values ​​are aggregated and stored, and the corresponding average values ​​of the fixed values ​​are obtained as the comparison values ​​of the current clauses of the same type; The terms with changing values ​​are aggregated and stored, and the corresponding ranges are obtained. The minimum and maximum values ​​in each range are selected to form a new comparison range value.

[0024] Specifically, Figure 5 As shown, in S10, the keyword selection algorithm is used to classify and store the same type of terms, and the algorithm formula is as follows: S101, selecting keywords of products or projects in the terms and conditions, and establishing a corresponding keyword database; S102: Obtain the text combination content of the clause, and compare it with each keyword database to obtain the corresponding keyword overlap rate ; S103. Compare the overlap rates of each keyword , the keyword overlap rate The highest corresponding clause item is taken as the same type clause item as the currently compared clause item.

[0025] In specific use, during the process of establishing a clause storage database, due to the different provisions in different clauses, the corresponding values ​​involved will also be different. At this time, in order to improve the adaptability of standard clauses, it is necessary to summarize the contents of historical contracts and classify and store the same type of clauses. In the classification process, a keyword selection algorithm is used, that is, each type of clause has the same product or project content. When the corresponding clause is written in accordance with the regulations, it will have corresponding fixed description phrases, and these description phrases will be used as keywords for the same type of clauses and summarized into a keyword database. When it is necessary to determine which type of clause a certain clause belongs to, the text combination content of the clause is obtained and compared with each keyword database to obtain the corresponding keyword overlap rate. , and compare the overlap rate of each keyword , the keyword overlap rate The highest corresponding clause is taken as the clause of the same type as the clause currently being compared; After completing the classification of clauses, since there are data changes, this also serves as a reference standard for later determination of abnormal clauses. At this time, it is necessary to eliminate clauses with ambiguous content and perform secondary processing on the remaining clauses. Summarize and store the terms with fixed values, and obtain the corresponding average value of the fixed values ​​as the comparison value of the current terms of the same type. If there is no value, only perform keyword comparison; The clauses with changing values ​​are aggregated and stored, and the corresponding ranges are obtained. The minimum and maximum values ​​in each range are selected to form a new comparison range value. For example, the corresponding changing values ​​in a certain category of clauses are , , as well as , where the order of values ​​is , then the final comparison range value of this type of clause is .

[0026] In addition, if Figure 2 As shown, the matching clause comparison module 50 includes a contract fulfiller data integration unit 510, a standard value matching unit 520, and a matching result output unit 530; The contract performer data integration unit 510 collects the contract performer's historical contract performance data, obtains the performer's performance data for the same ambiguous clause or the same type of ambiguous clause in the current entrusted witness contract, and obtains the corresponding performance value; The standard value matching unit 520 selects matching standard terms according to the matching of the ambiguous terms, and performs mean selection with the fulfillment value to obtain the final standard terms comparison value; The matching result output unit 530 compares the standard clause item value with the corresponding value of the ambiguous clause item, and marks the ambiguous clause item that does not meet the standard as an abnormal clause item.

[0027] Further, such as Figure 6 As shown, the method for obtaining the final standard clause value in the standard value matching unit 520 includes the following steps: S100, establishing a mean selection time period, and selecting performance data of the performer in which the performer performs the same or the same type of the ambiguous clause item; S200, combining corresponding execution data, obtaining execution values ​​at different times, and calculating an average value; S300, comparing the standard clause item values ​​matched by the standard clause item database with the average values ​​corresponding to the fulfilling party to obtain a comparison difference; S400, setting a comparison threshold; When the comparison difference is less than or equal to the comparison threshold, the average value and the standard clause value are subjected to a secondary mean calculation to obtain the final standard clause comparison value; When the comparison difference is greater than the comparison threshold, the average value is eliminated and the standard clause item value is directly used as the final standard clause item comparison value.

[0028] When used specifically, during the comparison of ambiguous clauses, since the performance efficiencies of different performers are different, in order to further improve the comparison accuracy, firstly, the contract performer data integration unit 510 is used to collect the contract performer's historical contract performance data, obtain the performer's performance data for the same ambiguous clause or the same type of ambiguous clause in the current entrusted witness contract, and obtain the corresponding performance value, that is, the performer has performed other contracts of the same or the same type before the entrusted witness contract, and the clauses in these contracts are the same or similar. At this time, the corresponding performance values ​​are integrated, that is, the performance values ​​for the ambiguous clause, as the performance standard of the current performer; After completing the numerical integration of the fulfiller, the standard value matching unit 520 selects the matching standard terms according to the matching of the ambiguous terms, and performs average selection with the fulfillment value to obtain the final standard terms comparison value. The process is as follows: Establish a mean selection time period, and select the performance data of the performer who performs the same or the same type of ambiguous terms in the mean selection time period. Since the performance results of different products or projects will be affected by the environment, in order to further reduce the error, it is necessary to establish a mean selection time period, that is, the performance time period that meets the current ambiguous terms; Then, the standard clause item values ​​matched by the standard clause item database are compared with the corresponding average values ​​of the fulfilling party to obtain the comparison difference and set the comparison threshold; When the comparison difference is less than or equal to the comparison threshold, the average value and the standard clause value are subjected to a secondary mean calculation to obtain the final standard clause comparison value; When the comparison difference is greater than the comparison threshold, the average value will be eliminated. This indicates that the current performer has not met the industry standard, and the standard clause item value will be directly used as the final standard clause item comparison value.

[0029] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited by the above embodiments. The above embodiments and descriptions are only preferred examples of the present invention and are not intended to limit the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. An online entrustment witness system based on user feedback data analysis, characterized in that: It includes a contract content acquisition module (10), a historical signing result feedback module (20), an ambiguous clause acquisition module (30), a standard contract clause database (40), a matching clause comparison module (50) and an abnormal clause adjustment planning module (60); The contract content acquisition module (10) is used to identify the entrustment witness contract to be signed on the online entrustment witness platform, and obtain the content of the clauses corresponding to the entrustment witness contract, marking them as clauses to be confirmed; The historical signing result feedback module (20) obtains the result feedback of the historical entrusted witness contracts of the same type that have been signed in combination with the content of the clauses; The ambiguous clause item acquisition module (30) acquires the clause items that are ambiguous in the implementation process after the contract is signed based on the feedback of the historical entrusted witnessing contract results, and marks them as ambiguous clause items; The standard contract clause database (40) is combined with the industry's witness contract standards to establish a clause storage database to store different types of standard clauses; The matching clause comparison module (50) compares the content of the clause to be confirmed and the content of the ambiguous clause, identifies the ambiguous clause in the clause to be confirmed, and compares it with the matching standard clause in the clause storage database, marking the ambiguous clause that does not meet the standard clause as an abnormal clause; The abnormal clause adjustment planning module (60) adjusts the data of the abnormal clause in combination with the provisions of the standard clause, and feeds back to the two parties of the online contract.

2. The online entrustment witness system based on user feedback data analysis according to claim 1 is characterized in that: The terms to be confirmed in the contract content acquisition module (10) include fixed item terms to be confirmed and variable item terms to be confirmed, wherein: The fixed item clause to be confirmed is a clause in which the item value is fixed; The item of the item to be confirmed for change refers to the item in which the value of the item has a range of numerical changes.

3. The online entrustment witness system based on user feedback data analysis according to claim 1 is characterized in that: The method for obtaining feedback on the results of historical entrusted witness contracts of the same type that have been signed in the historical signing result feedback module (20) comprises the following steps: S1. Count the historical results of contract performance and obtain the results of both parties fulfilling the contract terms in accordance with industry standards; S2. Combined with the project content specified in the clause, obtain the degree of fulfillment ; S3. Establishing fulfillment completion thresholds and fulfillment Make a comparison; When fulfillment is complete ≥Completion threshold When the corresponding clause is marked as a regular clause; When fulfillment is complete <Fulfillment completion threshold When the corresponding clause item is marked as an ambiguous clause item.

4. The online entrustment witness system based on user feedback data analysis according to claim 1 is characterized in that: The method for establishing a clause storage database in the standard contract clause database (40) comprises the following steps: S10. Summarize the contents of historically signed contracts and classify and store clauses of the same type; S20, remove the clauses with ambiguous contents, and perform secondary processing on the remaining clauses; The clauses with fixed values ​​are aggregated and stored, and the corresponding average values ​​of the fixed values ​​are obtained as the comparison values ​​of the current clauses of the same type; The terms with changing values ​​are aggregated and stored, and the corresponding ranges are obtained. The minimum and maximum values ​​in each range are selected to form a new comparison range value.

5. The online entrustment witness system based on user feedback data analysis according to claim 4 is characterized in that: In S10, the keyword selection algorithm is used to classify and store the same type of terms, and the algorithm formula is as follows: S101, selecting keywords of products or projects in the terms and conditions, and establishing a corresponding keyword database; S102: Obtain the text combination content of the clause, and compare it with each keyword database to obtain the corresponding keyword overlap rate ; S103. Compare the overlap rates of each keyword , the keyword overlap rate The highest corresponding clause item is taken as the same type clause item as the currently compared clause item.

6. The online entrustment witness system based on user feedback data analysis according to claim 1 is characterized in that: The matching clause comparison module (50) comprises a contract fulfillment party data integration unit (510), a standard value matching unit (520) and a matching result output unit (530); The contract performer data integration unit (510) collects the contract performer's historical contract performance data, obtains the performer's performance data for the same ambiguous clause item or the same type of ambiguous clause item in the current entrusted witness contract, and obtains the corresponding performance value; The standard value matching unit (520) selects matching standard terms according to the matching of the ambiguous terms, and performs mean selection with the fulfillment value to obtain a final standard term comparison value; The matching result output unit (530) compares the standard clause item value with the corresponding value of the ambiguous clause item, and marks the ambiguous clause item that does not meet the standard as an abnormal clause item.

7. The online entrustment witness system based on user feedback data analysis according to claim 6 is characterized in that: The method for obtaining the final standard clause item value in the standard value matching unit (520) comprises the following steps: S100, establishing a mean selection time period, and selecting performance data of the performer in which the performer performs the same or the same type of the ambiguous clause item; S200, combining corresponding execution data, obtaining execution values ​​at different times, and calculating an average value; S300, comparing the standard clause item values ​​matched by the standard clause item database with the average values ​​corresponding to the fulfilling party to obtain a comparison difference; S400, setting a comparison threshold; When the comparison difference is less than or equal to the comparison threshold, the average value and the standard clause value are subjected to a secondary mean calculation to obtain the final standard clause comparison value; When the comparison difference is greater than the comparison threshold, the average value is eliminated and the standard clause item value is directly used as the final standard clause item comparison value.

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