Real estate registration information approval method, device, equipment, medium and product

Abstract

The invention discloses a real estate registration information approval method, which comprises the following steps of: converting paper information of real estate registration to be approved into digital information as pre-audit information, and dividing the pre-audit information into a normal text and an abnormal text; the method comprises the following steps: extracting key registration information, retrieving a contrast word with the same attribute as the key registration information from a normal text for each key registration information, marking the key registration information as determined information when the key registration information is completely identical to all contrast words, and calculating the information accuracy of the text to which each contrast word belongs when the key registration information is different from at least one contrast word; selecting the contrast word with the highest information accuracy as a replacement word, replacing the key registration information with the replacement word, and marking the replaced key registration information as determined information; repeatedly executing the operation until all the key registration information is marked as determined information; according to the invention, the automation degree and accuracy of real estate registration information auditing can be improved, and the approval efficiency and quality are improved.

Description

Technical Field

[0001] This invention relates to the field of real estate registration management technology, and in particular to a method, device, equipment, medium and product for approving real estate registration information. Background Technology

[0002] Real estate refers to property that is immovable by its natural nature or by law, including land, houses, mineral exploration rights, mining rights and other land fixtures, land-derived products that have not yet been separated from the land, and other things that are attached to the land by nature or human intervention and cannot be separated from it.

[0003] Currently, real estate registration approval is mostly done manually, which has many shortcomings. When inconsistencies arise, historical records must be manually retrieved, which is not only inefficient but also makes it difficult to obtain consistent results. In addition, each step of the approval process is independent, and data needs to be manually transferred. Operators need to frequently switch between multiple systems, which is cumbersome and significantly prolongs the overall approval cycle. This fails to meet the needs of efficient government services, and the efficiency and quality of approval need to be improved. Summary of the Invention

[0004] This invention provides a method for approving real estate registration information, which can effectively improve the automation and accuracy of real estate registration information review, and enhance approval efficiency and quality.

[0005] In a first aspect, embodiments of the present invention provide a method for approving real estate registration information, including: The paper information of the real estate registration to be approved is converted into digital information as pre-approval information, and the pre-approval information is divided into normal text and abnormal text through information verification. Extract key registration information from the real estate registration application process; for each key registration information, retrieve at least one corresponding word with the same attribute from the normal text, and compare the key registration information with the corresponding word. When the key registration information is exactly the same as all the reference words, the key registration information is marked as confirmed information. When the key registration information is not the same as at least one of the reference words, the information accuracy rate of the text to which each reference word belongs is calculated, the reference word with the highest information accuracy rate is selected as the replacement word, the key registration information is replaced with the replacement word, and the replaced key registration information is marked as confirmed information. Repeat the above comparison operation until all key registration information is marked as confirmed information.

[0006] Furthermore, the step of dividing the pre-review information into normal text and abnormal text through information verification includes: Obtain the title keywords and key words from the pre-review information; The cosine similarity algorithm is used to calculate the correlation between the title keywords and the key words to obtain the text relevance value; Pre-review information with text relevance values ​​greater than or equal to a preset text relevance value threshold is marked as normal text, while pre-review information with text relevance values ​​less than the preset text relevance value threshold is marked as abnormal text.

[0007] Furthermore, obtaining the title keywords and key words in the pre-review information includes: Based on a pre-trained semantic understanding model, the main title and body content of each pre-reviewed information are identified; The words in the main title that are content words are marked as title keywords, and the words in the main text that are content words are marked as pre-selected words; For each of the pre-selected words, calculate its frequency of occurrence in the main text, and mark the pre-selected words whose frequency of occurrence is greater than or equal to the preset frequency threshold as key words.

[0008] Furthermore, the key registration information refers to the key information used to identify the applicant and the core attributes of the real estate in the real estate registration application process, including but not limited to the applicant's name, the applicant's ID number, the real estate address, and the real estate ownership type.

[0009] Furthermore, the calculation of the information accuracy of the text to which each of the aforementioned reference words belongs includes: Obtain the historical approval records of the normal text containing each of the aforementioned reference words within a preset historical time period; The number of times the information in the historical approval records is inconsistent is counted, where the inconsistency indicates that the key registration information is not completely identical to the reference term; The accuracy of the information in the text is calculated based on the number of times the information is inconsistent.

[0010] Furthermore, the method also includes: Key registration information that underwent replacement was annotated; Based on all confirmed information and anomaly annotation records, an approval report for the pending real estate registration is generated.

[0011] Secondly, embodiments of the present invention provide a real estate registration information approval device, comprising: The information conversion module is used to convert paper information of real estate registration pending approval into digital information as pre-approval information, and to classify the pre-approval information into normal text and abnormal text through information verification. The information verification module is used to extract key registration information from the application process of real estate registration, and for each key registration information, retrieve at least one corresponding word with the same attribute from the normal text, and compare the key registration information with the corresponding word. The information approval module is used to mark the key registration information as confirmed information when the key registration information is exactly the same as all the reference words, and to calculate the information accuracy rate of the text to which each reference word belongs when the key registration information is different from at least one reference word, select the reference word with the highest information accuracy rate as the replacement word, replace the key registration information with the replacement word, and mark the replaced key registration information as confirmed information. The iterative processing module is used to repeatedly perform the above comparison operation until all key registration information is marked as confirmed information.

[0012] Thirdly, embodiments of the present invention provide an electronic device, comprising: Memory, used to store computer programs; A processor for executing the computer program; Wherein, when the processor executes the computer program, it implements the real estate registration information approval method described in any of the first aspects above.

[0013] Fourthly, embodiments of the present invention provide a computer-readable storage medium storing a computer program, which, when executed, implements the real estate registration information approval method described in any of the first aspects above.

[0014] Fifthly, embodiments of the present invention provide a computer program product, including computer instructions, which, when executed by a processor, implement the real estate registration information approval method described in any of the first aspects above.

[0015] Compared with existing technologies, the real estate registration information approval method provided by this invention has the following advantages: It converts paper information of the real estate registration to be approved into digital information as pre-approval information, and classifies the pre-approval information into normal text and abnormal text through information verification; it extracts key registration information from the real estate registration application process; for each key registration information, it retrieves at least one corresponding word with the same attribute from the normal text and compares the key registration information with the corresponding word; when the key registration information is exactly the same as all the corresponding words, it marks the key registration information as confirmed information; when the key registration information is different from at least one of the corresponding words, it calculates the information accuracy rate of the text to which each corresponding word belongs, selects the corresponding word with the highest information accuracy rate as a replacement word, replaces the key registration information with the replacement word, and marks the replaced key registration information as confirmed information; it repeats the above comparison operation until all key registration information is marked as confirmed information; this invention can effectively improve the automation and accuracy of real estate registration information review, and improve approval efficiency and quality. Attached Figure Description

[0016] To more clearly illustrate the technical features of the embodiments of the present invention, the drawings used in the embodiments of the present invention will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0017] Figure 1 This is a flowchart illustrating a method for approving real estate registration information provided in an embodiment of the present invention; Figure 2 This is a schematic diagram of the structure of a real estate registration information approval device provided in an embodiment of the present invention; Figure 3 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present invention. Detailed Implementation

[0018] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0019] It should be noted that although functional modules are divided in the device schematic diagram and a logical order is shown in the flowchart, in some cases, the steps shown or described may be performed in a different order than the module division in the device or the order in the flowchart. The terms "first," "second," etc., in the specification, claims, and the aforementioned drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence.

[0020] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains. The terminology used herein is for the purpose of describing embodiments of the invention only and is not intended to limit the invention.

[0021] In a first aspect, embodiments of the present invention provide a method for approving real estate registration information, see [link to relevant documentation]. Figure 1 This is a flowchart illustrating an embodiment of a real estate registration information approval method provided by the present invention.

[0022] like Figure 1 As shown, the method includes the following steps: S1: Convert the paper information of the real estate registration to be approved into digital information as pre-approval information, and divide the pre-approval information into normal text and abnormal text through information verification; S2: Extract key registration information from the application process of real estate registration; for each key registration information, retrieve at least one corresponding word with the same attribute from the normal text, and compare the key registration information with the corresponding word. S3: When the key registration information is exactly the same as all the reference words, the key registration information is marked as confirmed information. When the key registration information is not the same as at least one reference word, the information accuracy rate of the text to which each reference word belongs is calculated, the reference word with the highest information accuracy rate is selected as the replacement word, the key registration information is replaced with the replacement word, and the replaced key registration information is marked as confirmed information. S4: Repeat the above comparison operation until all key registration information is marked as confirmed information.

[0023] In practice, the paper information for real estate registration is first converted into digital information to obtain pre-review information. OCR technology can be used when converting paper information into digital information. During the process of marking the pre-review information, different materials are marked as different pre-review information according to their different characteristics. Then, the information consistency of the pre-review information is checked and classified into normal text and abnormal text.

[0024] Furthermore, based on the application process, key registration information of the applicant is extracted from the application process. Taking any one key registration information as an example, this key registration information is marked as the target registration term. Then, all normal text is acquired, and using the target registration term as the identification object, information words with the same attribute as the target registration term are identified in all normal text and marked as reference words. Here, "same attribute" indicates the semantic category or entity type of the target registration term in the normal text, that is, the category of things the target registration term refers to in the real world, such as name, location, organization, etc. The reference words are compared with the target registration term. If all reference words are completely identical to the target registration term, the target registration term is marked as confirmed information. If any reference word is different from the target registration term, the type of the reference word is identified. Simultaneously, the normal text containing each reference word is acquired, and the information accuracy rate of the normal text to which each reference word belongs is calculated. The reference word with the highest information accuracy rate is selected as the replacement word, and the key registration information is replaced with the replacement word. The replaced key registration information is then marked as confirmed information. The above comparison operation is repeated until all key registration information is marked as confirmed information.

[0025] In summary, this invention digitizes the paper information of real estate registration pending approval and divides it into normal and abnormal texts. It extracts key registration information from the application process and compares it with corresponding words in the normal text. When the key registration information is inconsistent with the corresponding words, it selects replacement words based on the accuracy of the information, completes the replacement, and marks it as confirmed information. This process is repeated until all key registration information is confirmed. This can effectively improve the automation and accuracy of real estate registration information review, quickly identify and correct information errors, reduce the workload and errors of manual review, ensure the authenticity and reliability of real estate registration information, and improve approval efficiency and quality.

[0026] In one optional implementation, the step of classifying the pre-review information into normal text and abnormal text through information verification includes: Obtain the title keywords and key words from the pre-review information; The cosine similarity algorithm is used to calculate the correlation between the title keywords and the key words to obtain the text relevance value; Pre-review information with text relevance values ​​greater than or equal to a preset text relevance value threshold is marked as normal text, while pre-review information with text relevance values ​​less than the preset text relevance value threshold is marked as abnormal text.

[0027] Specifically, arbitrarily obtain pre-review information, taking this pre-review information as an example, and mark this pre-review information as target review information. Obtain the title keywords and key words in the target review information, and perform correlation calculation on the title keywords and key words. For example, a cosine similarity algorithm can be used to calculate the text relevance value. Compare the text relevance value with a preset text relevance value threshold. If the text relevance value is greater than or equal to the text relevance value threshold, the target review information is marked as normal text. If the text relevance value is less than the text relevance value threshold, the target review information is marked as abnormal text, and an abnormal signal is generated and transmitted to the terminal display module. The management personnel verify the information of the abnormal text. The specific value of the text relevance value threshold is obtained by those skilled in the art based on big data calculations and is not specifically limited here. Then, all pre-review information is set as target review information in sequence and processed according to the above method to divide the pre-review information into normal text and abnormal text.

[0028] This embodiment accurately obtains the title keywords and key words of the pre-review information, and uses the cosine similarity algorithm to calculate the correlation between the two to obtain the text relevance value. Normal and abnormal texts are divided by a preset threshold, realizing the automation and standardization of the review process. The algorithm-based quantitative judgment is more objective and accurate than manual review, greatly improving the review efficiency.

[0029] In one optional implementation, obtaining the title keywords and key words in the pre-review information includes: Based on a pre-trained semantic understanding model, the main title and body content of each pre-reviewed information are identified; The words in the main title that are content words are marked as title keywords, and the words in the main text that are content words are marked as pre-selected words; For each of the pre-selected words, calculate its frequency of occurrence in the main text, and mark the pre-selected words whose frequency of occurrence is greater than or equal to the preset frequency threshold as key words.

[0030] Specifically, we obtain any pre-review information, taking this pre-review information as an example, and mark it as the target review information. We then identify the main title and body content of the target review information. For example, we can use a semantic understanding model based on pre-trained Transformer to obtain the main title of the target review information. We then perform word segmentation on the main title. After word segmentation, we identify the part of speech of each word in the main title and mark words with the part of speech as content words as title keywords. The part of speech includes content words and function words. Content words refer to words that have actual meaning and can independently function as sentence components, while function words refer to words that have no actual lexical meaning and only play a grammatical auxiliary role.

[0031] Next, obtain the main text content of the target review information, and perform word segmentation on the main text content as well. Select words with the part of speech of content words and mark these words as pre-selected words. Randomly select a pre-selected word and count the number of times this pre-selected word appears in the main text content. Then divide the number of times this pre-selected word appears by the total number of data of all pre-selected words in the main text content to obtain the occurrence frequency of the pre-selected word. Calculate the occurrence frequency of each pre-selected word according to the above method. If the occurrence frequency is less than the preset occurrence frequency threshold, no marking is made on the corresponding pre-selected word. If the occurrence frequency is greater than or equal to the occurrence frequency threshold, the corresponding pre-selected word is marked as a key word. The specific value of the occurrence frequency threshold is obtained by those skilled in the art based on big data calculations and is not specifically limited here.

[0032] This embodiment utilizes a pre-trained semantic understanding model, which can accurately identify key information in the title and body text, greatly shortening the review time and improving the overall review efficiency.

[0033] In one optional implementation, the key registration information refers to key information used to identify the applicant and the core attributes of the real estate during the real estate registration application process, including but not limited to the applicant's name, the applicant's ID number, the real estate address, and the real estate ownership type.

[0034] Specifically, key registration information refers to the crucial information used to identify the applicant and the core attributes of the real estate in the real estate registration application process, including but not limited to the applicant's name, applicant's ID number, real estate address, and real estate ownership type. This key registration information is the core element of the entire real estate registration application, and accurately obtaining and processing this information is essential for the successful completion of real estate registration.

[0035] In one optional implementation, calculating the information accuracy of the text to which each of the reference words belongs includes: Obtain the historical approval records of the normal text containing each of the aforementioned reference words within a preset historical time period; The number of times the information in the historical approval records is inconsistent is counted, where the inconsistency indicates that the key registration information is not completely identical to the reference term; The accuracy of the information in the text is calculated based on the number of times the information is inconsistent.

[0036] Specifically, using the current time as the time node, the historical approval records of the normal text containing each reference word within a preset historical time period are obtained, and the total number of corresponding approval processes is counted, i.e., the total number of approval processes involved in all verification texts. The number of times the information between the verification text and the approval process is counted. Information inconsistency indicates that in the approval process, the key registration information is not completely the same as the reference word in the verification text. The information accuracy coefficient of the text is calculated using the following formula: ; in, For information accuracy coefficient, The correct weighting coefficients for the text can be determined based on factors such as the text's importance and business rules. Indicates the number of times information is inconsistent. This indicates the total number of approval processes.

[0037] It is understandable that a higher information accuracy coefficient indicates a higher accuracy rate of the corresponding text, while a lower information accuracy coefficient indicates a lower accuracy rate of the corresponding text.

[0038] In an optional implementation, the method further includes: Key registration information that underwent replacement was annotated; Based on all confirmed information and anomaly annotation records, an approval report for the pending real estate registration is generated.

[0039] Specifically, after replacing key registration information with alternative words, these replaced information are marked as abnormal in order to facilitate subsequent tracking and review. The specific method of abnormal marking is set by those skilled in the art based on big data experience. At the same time, based on all confirmed information and abnormal marking records, an approval report for the pending real estate registration is generated and displayed on the terminal device.

[0040] This embodiment can comprehensively and accurately review real estate registration information, promptly identify and mark abnormal information, and generate detailed and clear approval reports, providing strong support for real estate registration approval work and effectively improving approval efficiency and accuracy.

[0041] Secondly, embodiments of the present invention provide a real estate registration information approval device, see [link to relevant documentation]. Figure 2 This is a schematic diagram of the structure of an embodiment of a real estate registration information approval device provided by the present invention.

[0042] like Figure 2 As shown, the device includes: Information conversion module 21 is used to convert paper information of real estate registration to be approved into digital information as pre-approval information, and to divide the pre-approval information into normal text and abnormal text through information verification; The information verification module 22 is used to extract key registration information from the application process of real estate registration, and for each key registration information, retrieve at least one corresponding word with the same attribute from the normal text, and compare the key registration information with the corresponding word. Information approval module 23 is used to mark the key registration information as confirmed information when the key registration information is exactly the same as all the reference words, and to calculate the information accuracy rate of the text to which each reference word belongs when the key registration information is not the same as at least one reference word, select the reference word with the highest information accuracy rate as the replacement word, replace the key registration information with the replacement word, and mark the replaced key registration information as confirmed information. The iterative processing module 24 is used to repeatedly perform the above comparison operation until all key registration information is marked as confirmed information.

[0043] In one optional implementation, the step of classifying the pre-review information into normal text and abnormal text through information verification includes: Obtain the title keywords and key words from the pre-review information; The cosine similarity algorithm is used to calculate the correlation between the title keywords and the key words to obtain the text relevance value; Pre-review information with text relevance values ​​greater than or equal to a preset text relevance value threshold is marked as normal text, while pre-review information with text relevance values ​​less than the preset text relevance value threshold is marked as abnormal text.

[0044] In one optional implementation, obtaining the title keywords and key words in the pre-review information includes: Based on a pre-trained semantic understanding model, the main title and body content of each pre-reviewed information are identified; The words in the main title that are content words are marked as title keywords, and the words in the main text that are content words are marked as pre-selected words; For each of the pre-selected words, calculate its frequency of occurrence in the main text, and mark the pre-selected words whose frequency of occurrence is greater than or equal to the preset frequency threshold as key words.

[0045] In one optional implementation, the key registration information refers to key information used to identify the applicant and the core attributes of the real estate during the real estate registration application process, including but not limited to the applicant's name, the applicant's ID number, the real estate address, and the real estate ownership type.

[0046] In one optional implementation, calculating the information accuracy of the text to which each of the reference words belongs includes: Obtain the historical approval records of the normal text containing each of the aforementioned reference words within a preset historical time period; The number of times the information in the historical approval records is inconsistent is counted, where the inconsistency indicates that the key registration information is not completely identical to the reference term; The accuracy of the information in the text is calculated based on the number of times the information is inconsistent.

[0047] In an optional implementation, the apparatus further includes an approval report generation module, used for: Key registration information that underwent replacement was annotated; Based on all confirmed information and anomaly annotation records, an approval report for the pending real estate registration is generated.

[0048] Thirdly, embodiments of the present invention provide an electronic device, see [link to previous document]. Figure 3 The diagram shown is a structural schematic of an electronic device provided in an embodiment of the present invention.

[0049] like Figure 3 As shown, the device includes: Memory 31 is used to store computer programs; Processor 32 is used to execute the computer program; When the processor 32 executes the computer program, it implements the real estate registration information approval method as described in any of the above embodiments.

[0050] For example, the computer program may be divided into one or more modules / units, which are stored in the memory 31 and executed by the processor 32 to complete the present invention. The one or more modules / units may be a series of computer program instruction segments capable of performing a specific function, which describe the execution process of the computer program in the electronic device.

[0051] The processor 32 can be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or any conventional processor.

[0052] The memory 31 can be used to store the computer programs and / or modules. The processor 32 implements various functions of the electronic device by running or executing the computer programs and / or modules stored in the memory 31 and calling the data stored in the memory 31. The memory 31 may mainly include a program storage area and a data storage area. The program storage area may store the operating system, at least one application program required for a function (such as sound playback function, image playback function, etc.), etc.; the data storage area may store data created according to the use of the mobile phone (such as audio data, phonebook, etc.). In addition, the memory 31 may include high-speed random access memory, and may also include non-volatile memory, such as hard disk, memory, plug-in hard disk, smart media card (SMC), secure digital card (SD) card, flash card, at least one disk storage device, flash memory device, or other volatile solid-state storage device.

[0053] It should be noted that the aforementioned electronic devices include, but are not limited to, processors and memory, as will be understood by those skilled in the art. Figure 3 The structural diagram is merely an example of the electronic device described above and does not constitute a limitation on the electronic device. It may include more components than shown in the diagram, or combine certain components, or use different components.

[0054] Fourthly, embodiments of the present invention also provide a computer-readable storage medium storing a computer program, which, when executed, implements the real estate registration information approval method described in any of the above embodiments.

[0055] It should be understood that the present invention can implement all or part of the processes in the above-described method for approving real estate registration information, and can also be accomplished by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium, and when the computer program is executed by a processor, it can implement the steps of the above-described method for approving real estate registration information. The computer program includes computer program code, which can be in the form of source code, object code, executable file, or some intermediate form. The computer-readable medium can include: any entity or device capable of carrying the computer program code, recording media, USB flash drive, portable hard drive, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signals, telecommunication signals, and software distribution media, etc.

[0056] Fifthly, embodiments of this application also provide a computer program product, which is stored in a storage medium and executed by at least one processor to implement the real estate registration information approval method described in any of the above embodiments.

[0057] The above description is merely a preferred embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. It should be noted that, for those skilled in the art, several equivalent obvious modifications and / or equivalent substitutions can be made without departing from the technical principles of the present invention, and these obvious modifications and / or equivalent substitutions should also be considered within the scope of protection of the present invention.

Claims

1. A method for approving real estate registration information, characterized in that, include: The paper information of the real estate registration to be approved is converted into digital information as pre-approval information, and the pre-approval information is divided into normal text and abnormal text through information verification. Extract key registration information from the real estate registration application process; for each key registration information, retrieve at least one corresponding word with the same attribute from the normal text, and compare the key registration information with the corresponding word. When the key registration information is exactly the same as all the reference words, the key registration information is marked as confirmed information. When the key registration information is not the same as at least one of the reference words, the information accuracy rate of the text to which each reference word belongs is calculated, the reference word with the highest information accuracy rate is selected as the replacement word, the key registration information is replaced with the replacement word, and the replaced key registration information is marked as confirmed information. Repeat the above comparison operation until all key registration information is marked as confirmed information.

2. The method for approving real estate registration information as described in claim 1, characterized in that, The step of classifying the pre-review information into normal text and abnormal text through information verification includes: Obtain the title keywords and key words from the pre-review information; The cosine similarity algorithm is used to calculate the correlation between the title keywords and the key words to obtain the text relevance value; Pre-review information with text relevance values ​​greater than or equal to a preset text relevance value threshold is marked as normal text, while pre-review information with text relevance values ​​less than the preset text relevance value threshold is marked as abnormal text.

3. The method for approving real estate registration information as described in claim 2, characterized in that, The process of obtaining the title keywords and key words in the pre-review information includes: Based on a pre-trained semantic understanding model, the main title and body content of each pre-reviewed information are identified; The words in the main title that are content words are marked as title keywords, and the words in the main text that are content words are marked as pre-selected words; For each of the pre-selected words, calculate its frequency of occurrence in the main text, and mark the pre-selected words whose frequency of occurrence is greater than or equal to the preset frequency threshold as key words.

4. The method for approving real estate registration information as described in claim 1, characterized in that, The key registration information refers to the key information used to identify the applicant and the core attributes of the real estate in the real estate registration application process, including but not limited to the applicant's name, the applicant's ID number, the real estate address, and the real estate ownership type.

5. The method for approving real estate registration information as described in claim 1, characterized in that, The calculation of the information accuracy of the text to which each of the aforementioned reference words belongs includes: Obtain the historical approval records of the normal text containing each of the aforementioned reference words within a preset historical time period; The number of times the information in the historical approval records is inconsistent is counted, where the inconsistency indicates that the key registration information is not completely identical to the reference term; The accuracy of the information in the text is calculated based on the number of times the information is inconsistent.

6. The method for approving real estate registration information as described in claim 1, characterized in that, The method further includes: Key registration information that underwent replacement was annotated; Based on all confirmed information and anomaly annotation records, an approval report for the pending real estate registration is generated.

7. A device for approving real estate registration information, characterized in that, include: The information conversion module is used to convert paper information of real estate registration pending approval into digital information as pre-approval information, and to classify the pre-approval information into normal text and abnormal text through information verification. The information verification module is used to extract key registration information from the application process of real estate registration, and for each key registration information, retrieve at least one corresponding word with the same attribute from the normal text, and compare the key registration information with the corresponding word. The information approval module is used to mark the key registration information as confirmed information when the key registration information is exactly the same as all the reference words, and to calculate the information accuracy rate of the text to which each reference word belongs when the key registration information is different from at least one reference word, select the reference word with the highest information accuracy rate as the replacement word, replace the key registration information with the replacement word, and mark the replaced key registration information as confirmed information. The iterative processing module is used to repeatedly perform the above comparison operation until all key registration information is marked as confirmed information.

8. An electronic device, characterized in that, include: Memory, used to store computer programs; A processor for executing the computer program; The processor executes the computer program to implement the real estate registration information approval method as described in any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed, implements the real estate registration information approval method as described in any one of claims 1 to 6.

10. A computer program product, characterized in that, It includes computer instructions, which, when executed by a processor, implement the real estate registration information approval method as described in any one of claims 1 to 6.

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