CN111914543A - Report validity detection method and device, electronic equipment and readable storage medium - Google Patents
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Abstract
The application provides a report validity detection method, a report validity detection device, electronic equipment and a readable storage medium, which are applied to the technical field of natural language processing, wherein the method comprises the following steps: the detection elements are extracted from the irregular report to be detected through a natural language understanding technology, and the consistency of the statistical result information of the detection elements and the corresponding total result information in the report to be detected is checked, so that the legality of the report to be detected is determined, the legality of the report to be detected is automatically detected, the efficiency of detecting the legality of the report is improved, and the detection accuracy is improved.
Description
Technical Field
The application relates to the technical field of natural language understanding, in particular to a report validity detection method and device, electronic equipment and a readable storage medium.
Background
International banking card organizations (e.g., union pay, mastercard, jcb, dalie, american express, VISA) typically transact money with member banks on a daily basis and provide reports of money. Based on the requirement of bank compliance, the member bank usually needs to check the validity of the report content, and because the report is usually in an irregular format and is convenient for manual reading, the validity check of the report at present usually adopts a manual check mode. However, the manual verification method is time-consuming, labor-consuming and error-prone.
Disclosure of Invention
The application provides a report validity detection method, a report validity detection device, an electronic device and a readable storage medium, and aims to provide a report validity detection method, so that the report validity can be automatically detected, the detection efficiency is improved, the detection labor cost is reduced, and the detection accuracy is improved. The technical scheme adopted by the application is as follows:
in a first aspect, a report validity detection method is provided, which includes,
acquiring a report to be detected, wherein the data of the report to be detected is unstructured data;
extracting a plurality of detection element information of the report to be detected based on a natural language understanding technology;
counting the extracted information of the plurality of detection elements to obtain statistical result information;
and carrying out consistency check on the obtained statistical result information and the corresponding total result information in the report to be detected, and determining the legality of the report to be detected based on the consistency check result.
Optionally, the report to be detected is a TXT format, PDF format, or XML format file.
Optionally, counting the extracted multiple detection element information to obtain statistical result information, where the counting includes:
adding the extracted detection element information into an EXCEL table;
the statistical analysis function based on the EXCEL table determines statistical result information of the plurality of detection element information.
Optionally, the method further comprises:
determining at least one category information of the plurality of detection element information;
determining statistical result information of the detection elements corresponding to each category;
the consistency check of the obtained statistical result information and the corresponding total result information in the report to be detected comprises the following steps:
and respectively carrying out consistency check on the statistical result information of each category and the corresponding total result information of each category in the report to be detected.
In a second aspect, there is provided a report validity detecting apparatus, which includes,
the report form detection method comprises the steps of obtaining a report form to be detected, wherein data of the report form to be detected are unstructured data;
the extraction module is used for extracting a plurality of detection element information of the report to be detected based on the natural language understanding technology;
the statistical module is used for carrying out statistics on the extracted information of the plurality of detection elements to obtain statistical result information;
and the checking module is used for performing consistency checking on the obtained statistical result information and the corresponding total result information in the report to be detected, and determining the legality of the report to be detected based on the consistency checking result.
Optionally, the report to be detected is a TXT format, PDF format, or XML format file.
Optionally, the apparatus further comprises:
the adding module is used for adding the extracted detection element information into an EXCEL table;
and the first determination module is used for determining the statistical result information of the plurality of detection element information based on the statistical analysis function of the EXCEL table.
Optionally, the apparatus further comprises:
a second determination module for determining at least one category information of the plurality of detection element information;
the third determining module is used for determining the statistical result information of the detection elements corresponding to all the categories;
and the checking module is specifically used for performing consistency checking on the statistical result information of each category and the corresponding total result information of each category in the report to be detected.
In a third aspect, an electronic device is provided, which includes:
one or more processors;
a memory;
one or more application programs, wherein the one or more application programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs configured to: and executing the report validity detection method shown in the first aspect.
In a fourth aspect, a computer-readable storage medium is provided, which is used for storing computer instructions, and when the computer instructions are run on a computer, the computer can execute the report validity detection method shown in the first aspect.
Compared with the prior art that report detection is realized in a manual mode, the report to be detected is obtained, and the data of the report to be detected is unstructured data; extracting a plurality of detection element information of the report to be detected based on a natural language understanding technology; counting the extracted information of the plurality of detection elements to obtain statistical result information; and carrying out consistency check on the obtained statistical result information and the corresponding total result information in the report to be detected, and determining the legality of the report to be detected based on the consistency check result. The method comprises the steps of extracting detection elements from an irregular report to be detected through a natural language understanding technology, and carrying out consistency check on statistical result information of the detection elements and corresponding total result information in the report to be detected, so that the legality of the report to be detected is determined, automatic detection of the legality of the report to be detected is achieved, the efficiency of detecting the legality of the report is improved, and meanwhile the accuracy of detection is improved.
Additional aspects and advantages of the present application will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the present application.
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The foregoing and/or additional aspects and advantages of the present application will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
FIG. 1 is a flowchart illustrating a report validity detection method according to an embodiment of the present application;
FIG. 2 is a schematic structural diagram of a report validity detection apparatus according to an embodiment of the present application;
FIG. 3 is a diagram illustrating a report detection process according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present application;
FIG. 5 is an example of a card organizational report;
fig. 6 shows a pattern of the extracted detection elements after processing.
Detailed Description
Reference will now be made in detail to the embodiments of the present application, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the drawings are exemplary only for the purpose of explaining the present application and are not to be construed as limiting the present application.
As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms "comprises" and/or "comprising," when used in this specification, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof. As used herein, the term "and/or" includes all or any element and all combinations of one or more of the associated listed items.
To make the objects, technical solutions and advantages of the present application more clear, embodiments of the present application will be described in further detail below with reference to the accompanying drawings.
The following describes the technical solutions of the present application and how to solve the above technical problems with specific embodiments. The following several specific embodiments may be combined with each other, and details of the same or similar concepts or processes may not be repeated in some embodiments. Embodiments of the present application will be described below with reference to the accompanying drawings.
The embodiment of the application provides a report validity detection method, as shown in fig. 1, the method may include the following steps:
step S101, a report to be detected is obtained, and data of the report to be detected is unstructured data;
and the report to be detected is a TXT format or PDF format or XML format file. The data of the text cannot be directly statistically calculated.
Step S102, extracting a plurality of detection element information of the report to be detected based on a natural language understanding technology;
step S103, counting the extracted information of the plurality of detection elements to obtain information of a statistical result;
specifically, the detection elements are extracted through a natural language understanding technology, and unstructured data which cannot be subjected to statistical analysis is converted into structured data which can be subjected to statistical analysis.
And step S104, performing consistency check on the obtained statistical result information and the corresponding total result information in the report to be detected, and determining the legality of the report to be detected based on the consistency check result.
Specifically, if the statistical result information of the extracted detection elements is consistent with the corresponding total result information in the detection report, the report is correct (legal), and if the statistical result information is inconsistent, the report is wrong, and the report is illegal. If the report is illegal, corresponding error information can be marked for prompting staff.
Compared with the prior art that the legality of the report needs to be manually checked, the report to be detected is obtained, and the data of the report to be detected is unstructured data; extracting a plurality of detection element information of the report to be detected based on a natural language understanding technology; counting the extracted information of the plurality of detection elements to obtain statistical result information; and carrying out consistency check on the obtained statistical result information and the corresponding total result information in the report to be detected, and determining the legality of the report to be detected based on the consistency check result. The method comprises the steps of extracting detection elements from an irregular report to be detected through a natural language understanding technology, and carrying out consistency check on statistical result information of the detection elements and corresponding total result information in the report to be detected, so that the legality of the report to be detected is determined, automatic detection of the legality of the report to be detected is achieved, the efficiency of detecting the legality of the report is improved, and meanwhile the accuracy of detection is improved.
The embodiments of the present application provide a possible implementation,
the embodiment of the present application provides a possible implementation manner, which performs statistics on a plurality of extracted detection element information to obtain statistical result information, and includes:
adding the extracted detection element information into an EXCEL table;
the statistical analysis function based on the EXCEL table determines statistical result information of the plurality of detection element information.
If the sum data of the multiple detection elements can be directly calculated through the sum function of the EXCEL table, then the sum data is compared with the corresponding sum number in the report to be detected, if the sum data is consistent with the corresponding sum number in the report to be detected, the report is legal, and if the sum data is inconsistent with the corresponding sum number in the report to be detected, the report is illegal.
The embodiment of the present application provides a possible implementation manner, and further, the method further includes:
determining at least one category information of the plurality of detection element information;
determining statistical result information of the detection elements corresponding to each category;
specifically, the extracted detection elements may be a plurality of categories of detection elements, such as related elements of different products. The total data of the elements of the products of each category can be respectively calculated, and then the total data is compared with the total element data of the products in the report to be detected, if the total element data is consistent with the total element data of the products in the report to be detected, the report is legal, and if the total element data is inconsistent with the total element data of the products in the report to be detected, the report is illegal.
The consistency check of the obtained statistical result information and the corresponding total result information in the report to be detected comprises the following steps:
and respectively carrying out consistency check on the statistical result information of each category and the corresponding total result information of each category in the report to be detected.
Fig. 3 is a diagram illustrating an exemplary process of detecting validity of a report to be detected, where the report to be detected may be a mastercard organization report. FIG. 5 shows an example of a card-organized report, wherein the mastercard report refers specifically to the T140 file report, and the report key elements: including the type of the transaction, date of the transaction, amount (including direction of the loan), transaction notes, amount of the commission (including direction of the loan), date of the clearing, currency, etc.
Fig. 6 shows the processed pattern of the extracted detection elements, which can be used for fast verification of validity or other calculations using excel's calculation formula,
the report to be detected can be a TXT report or a PDF report or an XML report, the transaction elements are extracted through natural language to obtain the report shown in figure 6, and the transaction number can be screened and counted through different columns, so that the validity of the report can be verified in a multi-dimensional mode. For example, it can be checked whether Total is actually equal to the data added in the previous rows, and the validity checks can be performed on Count, different Amount, and fe, respectively. And verifying the self-consistency of the report.
The detection process comprises the following steps:
step 1: the input card organizes the report file and enters step 2
Step 2: and organizing the regular expression 3 for keyword extraction according to the content to be extracted.
And step 3: and (4) sequentially matching the regular expression results and entering the step 4.
And 4, step 4: and if the search result exists, entering the step 5, otherwise, entering the step 2.
And 5: and (6) extracting the key elements of the matching result, recording related elements and entering the step 6.
Step 6: and judging whether the search text of the current matching band is positioned at the tail end of the document. If yes, go to step 7, otherwise go to step 2.
And 7: and (4) performing statistical analysis on all records, comparing the records with the original text report, and entering the step 8.
And 8: if the comparison is successful, the report is legal, step 9 is entered, if the comparison is failed, the report is illegal, and step 9 is entered.
And step 9: and (6) ending.
Fig. 2 is a device for detecting report validity according to an embodiment of the present application, where the device 20 includes: an acquisition module 201, an extraction module 202, a statistics module 203, and a verification module 204, wherein,
the acquiring module 201 is configured to acquire a report to be detected, where data of the report to be detected is unstructured data;
the extraction module 202 is used for extracting a plurality of detection element information of the report to be detected based on a natural language understanding technology;
the statistical module 203 is configured to perform statistics on the extracted multiple detection element information to obtain statistical result information;
the checking module 204 is configured to perform consistency checking on the obtained statistical result information and the corresponding total result information in the report to be detected, and determine validity of the report to be detected based on a consistency checking result.
Compared with the prior art that the legality of the report needs to be manually checked, the report to be detected is obtained, and the data of the report to be detected are unstructured data; extracting a plurality of detection element information of the report to be detected based on a natural language understanding technology; counting the extracted information of the plurality of detection elements to obtain statistical result information; and carrying out consistency check on the obtained statistical result information and the corresponding total result information in the report to be detected, and determining the legality of the report to be detected based on the consistency check result. The method comprises the steps of extracting detection elements from an irregular report to be detected through a natural language understanding technology, and carrying out consistency check on statistical result information of the detection elements and corresponding total result information in the report to be detected, so that the legality of the report to be detected is determined, automatic detection of the legality of the report to be detected is achieved, the efficiency of detecting the legality of the report is improved, and meanwhile the accuracy of detection is improved.
Optionally, the report to be detected is a TXT format, PDF format, or XML format file.
Optionally, the apparatus further comprises:
the adding module is used for adding the extracted detection element information into an EXCEL table;
and the first determination module is used for determining the statistical result information of the plurality of detection element information based on the statistical analysis function of the EXCEL table.
Optionally, the apparatus further comprises:
a second determination module for determining at least one category information of the plurality of detection element information;
the third determining module is used for determining the statistical result information of the detection elements corresponding to all the categories;
and the checking module is specifically used for performing consistency checking on the statistical result information of each category and the corresponding total result information of each category in the report to be detected.
The report validity detection apparatus of this embodiment can execute the report validity detection method provided in the above embodiments of this application, and the implementation principles are similar, and are not described here again.
Compared with the prior art that the legality of the report needs to be manually checked, the report to be detected is obtained, and the data of the report to be detected are unstructured data; extracting a plurality of detection element information of the report to be detected based on a natural language understanding technology; counting the extracted information of the plurality of detection elements to obtain statistical result information; and carrying out consistency check on the obtained statistical result information and the corresponding total result information in the report to be detected, and determining the legality of the report to be detected based on the consistency check result. The method comprises the steps of extracting detection elements from an irregular report to be detected through a natural language understanding technology, and carrying out consistency check on statistical result information of the detection elements and corresponding total result information in the report to be detected, so that the legality of the report to be detected is determined, automatic detection of the legality of the report to be detected is achieved, the efficiency of detecting the legality of the report is improved, and meanwhile the accuracy of detection is improved.
The embodiment of the present application provides a report validity detection apparatus, which is suitable for the method shown in the above embodiment, and is not described herein again.
An embodiment of the present application provides an electronic device, as shown in fig. 4, an electronic device 40 shown in fig. 4 includes: a processor 401 and a memory 403. Wherein the processor 401 is coupled to the memory 403, such as via a bus 402. Further, the electronic device 40 may also include a transceiver 404. It should be noted that the transceiver 404 is not limited to one in practical applications, and the structure of the electronic device 40 is not limited to the embodiment of the present application. The processor 401 is applied in the embodiment of the present application, and is used to implement the functions of the modules shown in fig. 2. The transceiver 404 includes a receiver and a transmitter.
The processor 401 may be a CPU, general purpose processor, DSP, ASIC, FPGA or other programmable logic device, transistor logic device, hardware component, or any combination thereof. Which may implement or perform the various illustrative logical blocks, modules, and circuits described in connection with the disclosure. The processor 401 may also be a combination of computing functions, e.g., comprising one or more microprocessors, a combination of a DSP and a microprocessor, or the like.
The memory 403 may be, but is not limited to, a ROM or other type of static storage device that can store static information and instructions, a RAM or other type of dynamic storage device that can store information and instructions, an EEPROM, a CD-ROM or other optical disk storage, optical disk storage (including compact disk, laser disk, optical disk, digital versatile disk, blu-ray disk, etc.), magnetic disk storage media or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer.
The memory 403 is used for storing application program codes for executing the scheme of the application, and the execution is controlled by the processor 401. The processor 401 is configured to execute the application program code stored in the memory 403 to implement the function of the report validity detecting apparatus provided in the embodiment shown in fig. 2.
Compared with the prior art that the legality of the report needs to be manually checked, the electronic equipment provided by the embodiment of the application acquires the report to be detected, wherein the data of the report to be detected is unstructured data; extracting a plurality of detection element information of the report to be detected based on a natural language understanding technology; counting the extracted information of the plurality of detection elements to obtain statistical result information; and carrying out consistency check on the obtained statistical result information and the corresponding total result information in the report to be detected, and determining the legality of the report to be detected based on the consistency check result. The method comprises the steps of extracting detection elements from an irregular report to be detected through a natural language understanding technology, and carrying out consistency check on statistical result information of the detection elements and corresponding total result information in the report to be detected, so that the legality of the report to be detected is determined, automatic detection of the legality of the report to be detected is achieved, the efficiency of detecting the legality of the report is improved, and meanwhile the accuracy of detection is improved.
The embodiment of the application provides an electronic device suitable for the method embodiment. And will not be described in detail herein.
The present application provides a computer-readable storage medium, on which a computer program is stored, and when the program is executed by a processor, the method shown in the above embodiments is implemented.
Compared with the prior art that the legality of the report needs to be verified manually, the report to be detected is obtained, and the data of the report to be detected are unstructured data; extracting a plurality of detection element information of the report to be detected based on a natural language understanding technology; counting the extracted information of the plurality of detection elements to obtain statistical result information; and carrying out consistency check on the obtained statistical result information and the corresponding total result information in the report to be detected, and determining the legality of the report to be detected based on the consistency check result. The method comprises the steps of extracting detection elements from an irregular report to be detected through a natural language understanding technology, and carrying out consistency check on statistical result information of the detection elements and corresponding total result information in the report to be detected, so that the legality of the report to be detected is determined, automatic detection of the legality of the report to be detected is achieved, the efficiency of detecting the legality of the report is improved, and meanwhile the accuracy of detection is improved.
The embodiment of the application provides a computer-readable storage medium which is suitable for the method embodiment. And will not be described in detail herein.
It should be understood that, although the steps in the flowcharts of the figures are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and may be performed in other orders unless explicitly stated herein. Moreover, at least a portion of the steps in the flow chart of the figure may include multiple sub-steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, which are not necessarily performed in sequence, but may be performed alternately or alternately with other steps or at least a portion of the sub-steps or stages of other steps.
The foregoing is only a partial embodiment of the present application, and it should be noted that, for those skilled in the art, various modifications and decorations can be made without departing from the principle of the present application, and these modifications and decorations should also be regarded as the protection scope of the present application.
Claims (10)
1. A report validity detection method is characterized by comprising the following steps:
acquiring a report to be detected, wherein the data of the report to be detected is unstructured data;
extracting a plurality of detection element information of the report to be detected based on a natural language understanding technology;
counting the extracted information of the plurality of detection elements to obtain statistical result information;
and carrying out consistency check on the obtained statistical result information and the corresponding total result information in the report to be detected, and determining the legality of the report to be detected based on the consistency check result.
2. The method according to claim 1, wherein the report to be detected is a TXT format or PDF format or XML format file.
3. The method according to claim 1, wherein the step of performing statistics on the extracted plurality of detection factor information to obtain statistical result information comprises:
adding the extracted detection element information into an EXCEL table;
the statistical analysis function based on the EXCEL table determines statistical result information of the plurality of detection element information.
4. The method of claim 1, further comprising:
determining at least one category information of the plurality of detection element information;
determining statistical result information of the detection elements corresponding to each category;
the consistency check of the obtained statistical result information and the corresponding total result information in the report to be detected comprises the following steps:
and respectively carrying out consistency check on the statistical result information of each category and the corresponding total result information of each category in the report to be detected.
5. A report validity detection device is characterized by comprising:
the system comprises an acquisition module, a storage module and a processing module, wherein the acquisition module is used for acquiring a report to be detected, and the data of the report to be detected is unstructured data;
the extraction module is used for extracting a plurality of detection element information of the report to be detected based on the natural language understanding technology;
the statistical module is used for carrying out statistics on the extracted information of the plurality of detection elements to obtain statistical result information;
and the checking module is used for performing consistency checking on the obtained statistical result information and the corresponding total result information in the report to be detected, and determining the legality of the report to be detected based on the consistency checking result.
6. The apparatus according to claim 5, wherein the report to be detected is a TXT format or PDF format or XML format file.
7. The method of claim 1, wherein the apparatus further comprises:
the adding module is used for adding the extracted detection element information into an EXCEL table;
and the first determination module is used for determining the statistical result information of the plurality of detection element information based on the statistical analysis function of the EXCEL table.
8. The apparatus of claim 5, further comprising:
a second determination module for determining at least one category information of the plurality of detection element information;
the third determining module is used for determining the statistical result information of the detection elements corresponding to all the categories;
and the checking module is specifically used for performing consistency checking on the statistical result information of each category and the corresponding total result information of each category in the report to be detected.
9. An electronic device, comprising:
one or more processors;
a memory;
one or more applications, wherein the one or more applications are stored in the memory and configured to be executed by the one or more processors, the one or more programs configured to: executing the report validity detection method according to any one of claims 1 to 4.
10. A computer-readable storage medium for storing computer instructions which, when executed on a computer, cause the computer to perform the report validity detection method of any one of the preceding claims 1 to 4.
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| WO2020113401A1 (en) * | 2018-12-04 | 2020-06-11 | 北京比特大陆科技有限公司 | Data detection method, apparatus and device |
| CN110555212A (en) * | 2019-09-06 | 2019-12-10 | 北京金融资产交易所有限公司 | Document verification method and device based on natural language processing and electronic equipment |
| CN110909226A (en) * | 2019-11-28 | 2020-03-24 | 达而观信息科技（上海）有限公司 | Financial document information processing method and device, electronic equipment and storage medium |
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