CN112668302A - Method and device for judging false litigation - Google Patents
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Abstract
The invention discloses a method and a device for judging false litigation, which are used for acquiring historical false litigation cases related to the false litigation and cases to be analyzed for judging the false litigation, acquiring false litigation characteristics of the historical false litigation cases, and judging the cases to be analyzed as suspected false litigation cases if the cases to be analyzed have the false litigation characteristics. The invention can assist the judge and the inspector to analyze whether cases to be analyzed are more likely to be false litigation cases, thereby improving the case handling quality and efficiency.
Description
Technical Field
The invention relates to the field of data processing, in particular to a method and a device for judging false litigation.
Background
False litigation cases are in an ascending situation in recent years, greatly waste is caused to trial resources while the normal trial order is seriously interfered, the legal rights and interests of interested persons are damaged, and the judicial credibility is influenced.
At present, court and inspection yards in various places have the conditions of few cases and high case handling pressure. The method needs to discriminate false litigation by an informatization means, thereby relieving the case handling pressure of judges and inspectors and improving the case handling quality and effect.
Disclosure of Invention
In view of the above, the present invention provides a method and apparatus for determining false litigation that overcomes or at least partially solves the above-mentioned problems.
A method for judging false litigation, comprising:
acquiring historical false litigation cases related to the false litigation and cases to be analyzed for judging the false litigation;
obtaining the false litigation characteristics of the historical false litigation cases;
and extracting litigation characteristics of the case to be analyzed, and judging that the case to be analyzed is a suspected false litigation case if the litigation characteristics comprise the false litigation characteristics.
Optionally, the false litigation features comprise case features;
the obtaining false litigation characteristics of the historical false litigation cases comprises:
obtaining criminal referee documents related to false litigation;
searching for a civil referee document corresponding to the criminal referee document according to a civil case number included in the criminal referee document or court information and informent information of the criminal referee document;
extracting case routing characteristics of the civil referee document;
determining the number of the civil referee documents corresponding to each case routing feature, and sequencing the case routing features according to the number of the corresponding civil referee documents;
and screening out case characteristics ranked before a preset name.
Optionally, extracting litigation features of the case to be analyzed, and if the litigation features include the false litigation features, determining that the case to be analyzed is a false litigation suspected case, including:
extracting case characteristic of the case to be analyzed;
and if the case routing characteristics of the case to be analyzed are in the screened case routing characteristics, determining that the case to be analyzed is a false litigation suspected case.
Optionally, the false litigation features comprise subject features;
the obtaining false litigation characteristics of the historical false litigation cases comprises:
acquiring referee documents related to false litigation; the referee documents comprise criminal referee documents and civil referee documents;
extracting the information of the parties in the referee document;
and taking the party information as the main body characteristic.
Optionally, extracting litigation features of the case to be analyzed, and if the litigation features include the false litigation features, determining that the case to be analyzed is a false litigation suspected case, including:
obtaining the information of the party of the case to be analyzed;
and if the information of the party of the case to be analyzed is in the information of the party in the main body characteristics, determining that the case to be analyzed is a suspected case of false litigation.
Optionally, the false litigation features comprise litigation-attorney features;
the obtaining false litigation characteristics of the historical false litigation cases comprises:
obtaining a civil referee document relating to a false litigation;
extracting litigation attorney information in the civil referee document;
and using the litigation agent information as the litigation agent characteristic.
Optionally, extracting litigation features of the case to be analyzed, and if the litigation features include the false litigation features, determining that the case to be analyzed is a false litigation suspected case, including:
obtaining the information of the party of the case to be analyzed and the information of the litigation attorneys;
and if the information of the party of the case to be analyzed or the information of the litigant agents is in the information of the litigant agents in the characteristics of the litigant agents, determining that the case to be analyzed is a false litigant suspected case.
A device for determining false litigation, comprising:
the case acquisition module is used for acquiring historical false litigation cases related to the false litigation and cases to be analyzed for judging the false litigation;
a feature acquisition module for acquiring false litigation features of the historical false litigation cases;
and the characteristic analysis module is used for extracting litigation characteristics of the case to be analyzed and judging that the case to be analyzed is the suspected false litigation case if the litigation characteristics comprise the false litigation characteristics.
A storage medium including a stored program, wherein the program, when running, controls a device in which the storage medium is located to execute the method for determining false litigation.
An electronic device comprising at least one processor, and at least one memory, bus connected to the processor; the processor and the memory complete mutual communication through the bus; the processor is used for calling program instructions in the memory to execute the judgment method of the false litigation.
By means of the technical scheme, the invention provides a method and a device for judging false litigation, historical false litigation cases related to the false litigation and cases to be analyzed for judging the false litigation are obtained, false litigation characteristics of the historical false litigation cases are obtained, and if the cases to be analyzed have the false litigation characteristics, the cases to be analyzed are judged to be the false litigation cases. The invention can assist the judge and the inspector to analyze whether cases to be analyzed are more likely to be false litigation cases, thereby improving the case handling quality and efficiency.
The foregoing description is only an overview of the technical solutions of the present invention, and the embodiments of the present invention are described below in order to make the technical means of the present invention more clearly understood and to make the above and other objects, features, and advantages of the present invention more clearly understandable.
Drawings
Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Also, like reference numerals are used to refer to like parts throughout the drawings. In the drawings:
FIG. 1 is a flow chart of a method for determining false litigation according to an embodiment of the present invention;
FIG. 2 is a flow chart of another method for determining false litigation provided by an embodiment of the invention;
FIG. 3 is a flow chart of a method for determining false litigation according to an embodiment of the present invention;
FIG. 4 is a flowchart of a method for determining false litigation according to an embodiment of the present invention;
FIG. 5 is a schematic structural diagram of a device for determining false litigation provided by an embodiment of the present invention;
fig. 6 shows a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
The embodiment of the invention provides a method for judging false litigation, which can assist a judge and a scout officer to analyze whether cases to be analyzed are more likely to be false litigation cases, so that case handling quality and effect are improved.
Referring to fig. 1, the method for determining false litigation may include:
s11, obtaining historical false litigation cases related to the false litigation and cases to be analyzed for the false litigation judgment.
The historical false litigation cases in the embodiment are the false litigation cases which are already audited and completed, and comprise criminal cases and civil cases.
Historical false litigation cases may form two databases, one being a document set database, including:
the database is formed by the criminal referee documents of the false litigation cases and the civil referee documents of the false litigation cases corresponding to the criminal cases.
Another is a database of false litigation documents, comprising:
the database formed by the criminal referee documents of the false litigation cases and the civil referee documents of the false litigation cases comprises a document group database and other data of the civil referee documents of the false litigation cases which do not meet the standard of the false litigation but have false litigation behaviors.
The case to be analyzed for judging the false litigation is a case which needs to judge whether the case is more likely to be the false litigation, belongs to a civil case, does not need to judge whether the case is audited or not, and can be audited or unapproved.
S12, obtaining the false litigation characteristics of the historical false litigation cases.
Wherein the false litigation features are features extracted from historical false litigation cases, and the false litigation features may include: the case is composed of characteristics, subject characteristics, litigation agent characteristics, and the like, which are introduced one by one. If a case has the characteristics of false litigation, the case is most likely to be a suspected false litigation case, and a reminder is made.
And S13, extracting litigation characteristics of the case to be analyzed, and judging that the case to be analyzed is a false litigation suspected case if the litigation characteristics comprise the false litigation characteristics.
In the embodiment, historical false litigation cases related to false litigation and cases to be analyzed for judging false litigation are obtained, false litigation characteristics of the historical false litigation cases are obtained, and if the cases to be analyzed have the false litigation characteristics, the cases to be analyzed are judged to be suspected false litigation cases. By the aid of the method and the system, a judge and a scout can be assisted to analyze whether cases to be analyzed are more likely to be false litigation cases, and accordingly case handling quality and effectiveness are improved.
The above introduces the false litigation characteristics, and now describes the specific contents, how to extract and how to judge whether the cases are false litigation cases according to the characteristics.
1. The false litigation features include case features. Each case corresponds to a case, such as a folk loan dispute, a contract dispute, and the like. A plurality of case groups are preset, and for each historical false litigation case, the case group of the case is matched with the preset case group.
In the embodiment, the probability that some specific civil cases are involved in false litigation is high, and the method is to associate cases which are identified as false litigation from criminal cases with the civil cases of the false litigation behavior based on the cases, so that the cases of the civil cases are shown in a distribution mode, a high-risk case database is formed, and the false litigation cases are compared based on the high-risk case database.
Referring to fig. 2, obtaining case routing characteristics for the historical false litigation cases may include:
s21, obtaining criminal referee documents related to false litigation.
Extracting all false litigation criminal case referee documents from a referee document library; and (3) extracting rules: case type, criminal, full-text search contains "false litigation".
S22, searching the civil referee document corresponding to the criminal referee document according to the civil case number included in the criminal referee document or the court information and the informent information of the criminal referee document.
Specifically, a false litigation criminal case criminal referee document and a civil case referee document corresponding to the criminal case are searched in a referee document library and are correlated to form a document group database.
The correlation method 1: extracting the description of the name of the civil litigation court in the false litigation case criminal judge document, extracting the informent information (such as the informent name and the identity card number) in the false lition case criminal judge document, extracting all the civil litigation case judge documents of the civil litigation case criminal judge document determined according to the step one from the judge document library, and associating the information of the parties in the judge document with the information of the civil litigation case judge document in the step one to form a document group.
The correlation method 2: if the false litigation case criminal referee document contains the civil case number of the civil litigation case (such as referee document number or mediation document number), extracting the number, extracting the corresponding civil case referee document or mediation document according to the document number, and associating the false litigation case criminal referee document in the first step with the civil litigation case referee document and mediation document in the second step to form a document group.
And S23, extracting case characteristic of the civil referee document.
S24, determining the number of the civil referee documents corresponding to each case characteristic, and sequencing the case characteristic according to the number of the civil referee documents.
And S25, screening out case characteristics ranked before the preset name.
Extracting case characteristic of civil referee document (case characteristic extraction method: matching and corresponding case names listed in the official case list in referee document),
and hanging the civil referee document under different case characteristics according to the case characteristics of the civil referee document, and simultaneously outputting the top ten case characteristics with the largest quantity to be defined as high-risk case characteristics. In this embodiment, the preset number is set to the top ten, and different values can be set according to different real-time scenes.
On the basis of the present embodiment, step S13 may include:
and extracting case passing characteristics of the case to be analyzed, and if the case passing characteristics of the case to be analyzed are in the screened case passing characteristics, determining that the case to be analyzed is a false litigation suspected case.
Matching the case of the case to be analyzed with a preset case to obtain the case characteristic of the case to be analyzed, judging whether the case characteristic is in the case characteristic ranked in the first ten, if so, determining that the case to be analyzed is more likely to be a false litigation case, carrying out repeated point prompt, and pushing similar case file data in a file data base according to the case condition to be examined.
2. The false litigation features comprise subject features; the main body is the party in the document, such as the defendant, the original announcement, etc.
Some subjects have been involved in false litigation, so that the probability of false litigation is high, and the method is to extract relevant subject information from false litigation criminal cases and civil cases related to false litigation to form a high-risk subject library.
Referring to fig. 3, obtaining subject features of the historical false litigation cases may include:
s31, acquiring the referee document related to the false litigation.
The referee documents include criminal referee documents and civil referee documents.
Extracting all false litigation criminal referee documents and all false litigation case civil referee documents from the referee document library to form a false litigation document database; and (3) extracting rules: criminal referee documents: the same as above; second, the civil referee document: the referee's paper ' Hospital deems ' section contains the word ' false litigation '.
And S32, extracting the information of the parties in the referee document.
And S33, taking the party information as the main body characteristic.
Extracting relevant personnel main bodies in the referee document, comprising: firstly, the name, identification card number and business license number of the notified criminal referee document; name/name of the party, ID card number/business license number, ID card name and ID card number in the civil referee document;
and extracting the extracted subject information, and establishing a high-risk subject library, namely constructing subject characteristics.
On the basis of the present embodiment, step S13 may include:
and obtaining the party information of the case to be analyzed, and if the party information of the case to be analyzed is in the party information in the main body characteristics, determining that the case to be analyzed is more likely to be a false litigation case.
Specifically, the information of the parties of the cases to be analyzed is extracted and compared in a high-risk main body library, if the coincidence result exists, the main body history case judgment document is pushed, and the main body history case judgment document is made to give a key prompt for risks.
3. The false litigation features include litigation attorney features. Litigation attorneys are characterized as litigation attorneys of previously fraudulent litigation cases.
Some litigation agents are likely to perform false litigation again because they were involved in false litigation by extracting relevant subject information from civil cases involving false litigation to form a high-risk agent library.
Referring to fig. 4, obtaining litigation attorney features for the historical false litigation cases may include:
s41, acquiring civil referee documents related to false litigation.
For the above process of obtaining civil referee documents related to false litigation, please refer to the above corresponding explanation, which is not repeated herein.
S42, extracting litigation attorney information in the civil referee document;
and S43, using the litigation agent information as the litigation agent characteristics.
Identifying names, identity numbers and affiliated law of litigant agents in the civil referee documents of all false litigation cases in the false litigation document database, and establishing a high-risk agent library, namely constructing characteristics of the litigant agents.
On the basis of the present embodiment, step S13 may include:
and obtaining the information of the party of the case to be analyzed and the information of the litigation attorneys, and if the information of the party of the case to be analyzed or the information of the litigation attorneys is in the information of the litigation attorneys in the characteristics of the litigation attorneys, determining that the case to be analyzed is more likely to be a false litigation case.
Automatically extracting main body information (including parties and litigation agents) of cases to be examined, comparing the main body information and the information in the high-risk agent library, giving important prompts if a coincidence result exists, and pushing the judgment documents of the main body history cases.
It should be noted that, since an agent of a previous false litigation may also be a party of the litigation, information of the party needs to be extracted and compared.
In the embodiment, false litigation is screened according to three characteristics of case groups, subjects and litigation attorneys, so that case handling pressure of judges and inspectors is relieved, and case handling quality is improved.
Alternatively, on the basis of the above-described embodiment of the method for determining false litigation, another embodiment of the present invention provides a device for determining false litigation, and with reference to fig. 5, the method may include:
the case acquisition module 101 is used for acquiring historical false litigation cases related to the false litigation and cases to be analyzed for judging the false litigation;
a feature obtaining module 102, configured to obtain false litigation features of the historical false litigation cases;
the feature analysis module 103 is configured to extract litigation features of the case to be analyzed, and determine that the case to be analyzed is a suspected false litigation case if the litigation features include the false litigation features.
In the embodiment, historical false litigation cases related to false litigation and cases to be analyzed for judging false litigation are obtained, false litigation characteristics of the historical false litigation cases are obtained, and if the cases to be analyzed have the false litigation characteristics, the cases to be analyzed are judged to be suspected false litigation cases. By the aid of the method and the system, a judge and a scout can be assisted to analyze whether cases to be analyzed are more likely to be false litigation cases, and accordingly case handling quality and effectiveness are improved.
It should be noted that, for the working process of each module in this embodiment, please refer to the corresponding description in the above embodiments, which is not described herein again.
Optionally, on the basis of the above-mentioned embodiment of the device for determining false litigation, the characteristic of false litigation comprises a case characteristic;
the feature acquisition module 102 includes:
the document acquisition submodule is used for acquiring criminal referee documents related to false litigation;
the data search submodule is used for searching the civil referee document corresponding to the criminal referee document according to the civil case number contained in the criminal referee document or the court information and the informent information of the criminal referee document;
the characteristic extraction submodule is used for extracting case routing characteristics of the civil referee document;
the data sorting submodule is used for determining the number of the civil referee documents corresponding to each case characteristic and sorting the case characteristic according to the number of the corresponding civil referee documents;
and the characteristic screening submodule is used for screening out case characteristics ranked before the preset name.
The feature analysis module 103 is configured to extract litigation features of the case to be analyzed, and when the case to be analyzed is judged to be a suspected false litigation case if the litigation features include the false litigation features, specifically:
and extracting case passing characteristics of the case to be analyzed, and if the case passing characteristics of the case to be analyzed are in the screened case passing characteristics, determining that the case to be analyzed is a false litigation suspected case.
Further, the false litigation features comprise subject features;
the feature obtaining module 102 is configured to, when obtaining the false litigation features of the historical false litigation cases, specifically:
acquiring referee documents related to false litigation; the referee documents comprise criminal referee documents and civil referee documents, the party information in the referee documents is extracted, and the party information is used as the main characteristic.
The feature analysis module 103 is configured to extract litigation features of the case to be analyzed, and when the case to be analyzed is judged to be a suspected false litigation case if the litigation features include the false litigation features, specifically:
and obtaining the party information of the case to be analyzed, and if the party information of the case to be analyzed is in the party information in the main body characteristics, determining that the case to be analyzed is a suspected case of false litigation.
Further, the false litigation features comprise litigation attorney features;
the feature obtaining module 102 is configured to, when obtaining the false litigation features of the historical false litigation cases, specifically:
the method comprises the steps of obtaining a civil referee document related to false litigation, extracting litigant agent information in the civil referee document, and taking the litigant agent information as characteristics of the litigant agent.
The feature analysis module 103 is configured to extract litigation features of the case to be analyzed, and when the case to be analyzed is judged to be a suspected false litigation case if the litigation features include the false litigation features, specifically:
and obtaining the information of the party of the case to be analyzed and the information of the litigation attorneys, and if the information of the party of the case to be analyzed or the information of the litigation attorneys is in the information of the litigation attorneys in the characteristics of the litigation attorneys, determining that the case to be analyzed is the false litigation suspected case.
In the embodiment, false litigation is screened according to three characteristics of case groups, subjects and litigation attorneys, so that case handling pressure of judges and inspectors is relieved, and case handling quality is improved.
It should be noted that, for the working processes of each module and sub-module in this embodiment, please refer to the corresponding description in the above embodiments, which is not described herein again.
The judgment device for the false litigation comprises a processor and a memory, wherein the case acquisition module, the feature analysis module and the like are stored in the memory as program units, and the processor executes the program units stored in the memory to realize corresponding functions.
The processor comprises a kernel, and the kernel calls the corresponding program unit from the memory. The kernel can be set to be one or more than one, and the legal officer and the inspector are assisted to analyze whether cases to be analyzed are more likely to be false litigation cases by adjusting the kernel parameters, so that the case handling quality and effect are improved.
An embodiment of the present invention provides a storage medium on which a program is stored, which, when executed by a processor, implements the method for determining false litigation.
The embodiment of the invention provides a processor, which is used for running a program, wherein the method for judging the false litigation is executed when the program runs.
An embodiment of the present invention provides a device 70, and referring to fig. 6, the device 70 includes at least one processor 701, at least one memory 702 connected to the processor, and a bus 703; the processor 701 and the memory 702 complete mutual communication through a bus 703; the processor 701 is configured to call program instructions in the memory 702 to perform the method for determining false litigation described above. The device 70 herein may be a server, a PC, a PAD, a cell phone, etc.
The present application further provides a computer program product adapted to perform a program for initializing the following method steps when executed on a data processing device:
a method for judging false litigation, comprising:
acquiring historical false litigation cases related to the false litigation and cases to be analyzed for judging the false litigation;
obtaining the false litigation characteristics of the historical false litigation cases;
and extracting litigation characteristics of the case to be analyzed, and judging that the case to be analyzed is a suspected false litigation case if the litigation characteristics comprise the false litigation characteristics.
Further, the false litigation features include case by features;
the obtaining false litigation characteristics of the historical false litigation cases comprises:
obtaining criminal referee documents related to false litigation;
searching for a civil referee document corresponding to the criminal referee document according to a civil case number included in the criminal referee document or court information and informent information of the criminal referee document;
extracting case routing characteristics of the civil referee document;
determining the number of the civil referee documents corresponding to each case routing feature, and sequencing the case routing features according to the number of the corresponding civil referee documents;
and screening out case characteristics ranked before a preset name.
Further, extracting litigation characteristics of the case to be analyzed, and if the litigation characteristics comprise the false litigation characteristics, judging that the case to be analyzed is a false litigation suspected case, and the method comprises the following steps:
extracting case characteristic of the case to be analyzed;
and if the case routing characteristics of the case to be analyzed are in the screened case routing characteristics, determining that the case to be analyzed is a false litigation suspected case.
Further, the false litigation features comprise subject features;
the obtaining false litigation characteristics of the historical false litigation cases comprises:
acquiring referee documents related to false litigation; the referee documents comprise criminal referee documents and civil referee documents;
extracting the information of the parties in the referee document;
and taking the party information as the main body characteristic.
Further, extracting litigation characteristics of the case to be analyzed, and if the litigation characteristics comprise the false litigation characteristics, judging that the case to be analyzed is a false litigation suspected case, and the method comprises the following steps:
obtaining the information of the party of the case to be analyzed;
and if the information of the party of the case to be analyzed is in the information of the party in the main body characteristics, determining that the case to be analyzed is a suspected case of false litigation.
Further, the false litigation features comprise litigation attorney features;
the obtaining false litigation characteristics of the historical false litigation cases comprises:
obtaining a civil referee document relating to a false litigation;
extracting litigation attorney information in the civil referee document;
and using the litigation agent information as the litigation agent characteristic.
Further, extracting litigation characteristics of the case to be analyzed, and if the litigation characteristics comprise the false litigation characteristics, judging that the case to be analyzed is a false litigation suspected case, and the method comprises the following steps:
obtaining the information of the party of the case to be analyzed and the information of the litigation attorneys;
and if the information of the party of the case to be analyzed or the information of the litigant agents is in the information of the litigant agents in the characteristics of the litigant agents, determining that the case to be analyzed is a false litigant suspected case.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). The memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in the process, method, article, or apparatus that comprises the element.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The above are merely examples of the present application and are not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.
Claims (10)
1. A method for determining a false litigation, comprising:
acquiring historical false litigation cases related to the false litigation and cases to be analyzed for judging the false litigation;
obtaining the false litigation characteristics of the historical false litigation cases;
and extracting litigation characteristics of the case to be analyzed, and judging that the case to be analyzed is a suspected false litigation case if the litigation characteristics comprise the false litigation characteristics.
2. The method of claim 1, wherein the false litigation characteristics include case characteristics;
the obtaining false litigation characteristics of the historical false litigation cases comprises:
obtaining criminal referee documents related to false litigation;
searching for a civil referee document corresponding to the criminal referee document according to a civil case number included in the criminal referee document or court information and informent information of the criminal referee document;
extracting case routing characteristics of the civil referee document;
determining the number of the civil referee documents corresponding to each case routing feature, and sequencing the case routing features according to the number of the corresponding civil referee documents;
and screening out case characteristics ranked before a preset name.
3. The method of claim 2, wherein extracting litigation features of the case under analysis, and if the litigation features include the false litigation features, determining that the case under analysis is a false litigation suspected case comprises:
extracting case characteristic of the case to be analyzed;
and if the case routing characteristics of the case to be analyzed are in the screened case routing characteristics, determining that the case to be analyzed is a false litigation suspected case.
4. The method of claim 1, wherein the false litigation characteristics comprise subject characteristics;
the obtaining false litigation characteristics of the historical false litigation cases comprises:
acquiring referee documents related to false litigation; the referee documents comprise criminal referee documents and civil referee documents;
extracting the information of the parties in the referee document;
and taking the party information as the main body characteristic.
5. The method of claim 4, wherein extracting litigation features of the case under analysis, and if the litigation features include the false litigation features, determining that the case under analysis is a false litigation suspected case comprises:
obtaining the information of the party of the case to be analyzed;
and if the information of the party of the case to be analyzed is in the information of the party in the main body characteristics, determining that the case to be analyzed is a suspected case of false litigation.
6. The method of claim 1, wherein the false litigation characteristics comprise litigation-attorney characteristics;
the obtaining false litigation characteristics of the historical false litigation cases comprises:
obtaining a civil referee document relating to a false litigation;
extracting litigation attorney information in the civil referee document;
and using the litigation agent information as the litigation agent characteristic.
7. The method of claim 6, wherein extracting litigation features of the case under analysis, and if the litigation features include the false litigation features, determining that the case under analysis is a false litigation suspected case comprises:
obtaining the information of the party of the case to be analyzed and the information of the litigation attorneys;
and if the information of the party of the case to be analyzed or the information of the litigant agents is in the information of the litigant agents in the characteristics of the litigant agents, determining that the case to be analyzed is a false litigant suspected case.
8. A device for determining a false litigation, comprising:
the case acquisition module is used for acquiring historical false litigation cases related to the false litigation and cases to be analyzed for judging the false litigation;
a feature acquisition module for acquiring false litigation features of the historical false litigation cases;
and the characteristic analysis module is used for extracting litigation characteristics of the case to be analyzed and judging that the case to be analyzed is the suspected false litigation case if the litigation characteristics comprise the false litigation characteristics.
9. A storage medium comprising a stored program, wherein the program is executed to control a device on which the storage medium is located to execute the method for determining false litigation according to any one of claims 1 to 7.
10. An electronic device, characterized in that the device comprises at least one processor, and at least one memory, a bus connected to the processor; the processor and the memory complete mutual communication through the bus; the processor is configured to call program instructions in the memory to perform the method of determining false litigation of any of claims 1-7.
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