Data processing method and device, equipment and storage medium

Abstract

The invention provides a data processing method and device, equipment and a storage medium. Relates to the technical field of computers. The method comprises the following steps: after a user inputs address information of real estate assets in an attribute management interface, collecting asset related data of the real estate assets based on the address information, and determining candidate attribute tags of the real estate assets based on the asset related data of the real estate assets, and the candidate attribute tags are displayed in the attribute management interface, so that the corresponding user can conveniently determine the target attribute tag of the real estate asset through a selection mode.

Description

Technical Field

[0001] The present application relates to the field of computer technology, and in particular to a data processing method, device, equipment and storage medium. Background Art

[0002] At present, in order to manage real estate assets more effectively, many organizations use real estate management systems to manage real estate assets comprehensively. In the process of using the real estate asset management system, users can manage the attribute tags of real estate assets through the attribute tag management interface of the real estate management system. In the process of managing the attribute tags of real estate assets through the attribute tag management interface, how to enable users to quickly determine the attribute tags of real estate assets in the attribute tag management interface in a convenient way is an urgent problem to be solved. Summary of the invention

[0003] The present application provides a data processing method, apparatus, device and storage medium to solve the problem in the related art of how to enable users to quickly determine the attribute tags of real estate assets in an attribute tag management interface in a convenient manner.

[0004] In a first aspect, the present application provides a data processing method, which is applied to a real estate management system, comprising: obtaining address information entered by a user for a real estate asset in an attribute tag management interface; collecting data on the real estate asset based on the address information to collect asset-related data of the real estate asset; processing the asset-related data based on the attribute tag system on which the real estate management system is based to determine a plurality of candidate attribute tags for the real estate asset from the asset-related data; displaying a plurality of candidate attribute tags for the real estate asset on the attribute tag management interface; and adding the address information and the corresponding target attribute tag to an asset database in response to a selection operation on a target attribute tag from the plurality of candidate attribute tags.

[0005] In a second aspect, the present application provides a data processing device, which is applied to a real estate management system, and the device includes: an acquisition module, which is used to acquire address information entered by a user for a real estate asset in an attribute tag management interface; a collection module, which is used to collect data on the real estate asset based on the address information, so as to collect asset-related data of the real estate asset; a tag determination module, which is used to process the asset-related data according to the attribute tag system on which the real estate management system is based, so as to determine a plurality of candidate attribute tags of the real estate asset from the asset-related data; a display module, which is used to display a plurality of candidate attribute tags of the real estate asset on the attribute tag management interface; and a data storage module, which is used to add the address information and the corresponding target attribute tag to an asset database in response to a selection operation on a target attribute tag among the plurality of candidate attribute tags.

[0006] In a third aspect, the present application provides an electronic device, comprising: a processor, and a memory communicatively connected to the processor; the memory stores computer-executable instructions; the processor executes the computer-executable instructions stored in the memory to implement the data processing method disclosed in an embodiment of the present application.

[0007] In a fourth aspect, the present application provides a computer-readable storage medium, in which computer-executable instructions are stored. When the computer-executable instructions are executed by a processor, they are used to implement the data processing method disclosed in the embodiments of the present application.

[0008] In a fifth aspect, the present application provides a computer program product, including a computer program, which, when executed by a processor, implements the data processing method disclosed in the embodiments of the present application.

[0009] The technical solution of this application has the following advantages or beneficial effects:

[0010] After the user enters the address information of the real estate asset in the attribute tag management interface, data collection is performed on the real estate asset based on the address information to collect asset-related data of the real estate asset, and the asset-related data is processed according to the attribute tag system on which the real estate management system is based to determine multiple candidate attribute tags of the real estate asset from the asset-related data, and display multiple candidate attribute tags of the real estate asset on the attribute tag management interface, and obtain the target attribute tag selected from the multiple candidate attribute tags, and add the address information and the corresponding target attribute tag to the asset database. Therefore, after the user enters the address information of the real estate asset in the attribute management interface, the candidate attribute tags of the real estate asset are actively determined, and the candidate attribute tags are displayed in the attribute management interface, so that the corresponding user can easily determine the target attribute tag of the real estate asset by selection. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0012] Figure 1 The process of the data processing method provided in the embodiment of the present application Figure 1 ;

[0013] Figure 2 The process of the data processing method provided in the embodiment of the present application Figure 2 ;

[0014] Figure 3 The process of the data processing method provided in the embodiment of the present application Figure 3 ;

[0015] Figure 4 A schematic diagram of the structure of a data processing device provided in an embodiment of the present application;

[0016] Figure 5 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application.

[0017] The above drawings have shown clear embodiments of the present application, which will be described in more detail later. These drawings and text descriptions are not intended to limit the scope of the present application in any way, but to illustrate the concept of the present application to those skilled in the art by referring to specific embodiments. DETAILED DESCRIPTION

[0018] Exemplary embodiments will be described in detail herein, examples of which are shown in the accompanying drawings. When the following description refers to the drawings, the same numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the following exemplary embodiments do not represent all implementations consistent with the present application. Instead, they are merely examples of devices and methods consistent with some aspects of the present application as detailed in the appended claims.

[0019] It should be noted that the information (including but not limited to user device information, user personal information, etc.), data (including but not limited to data used for analysis, stored data, displayed data, etc.) and signals involved in this application are all authorized by the user or fully authorized by all parties. The acquisition, transmission, storage, use, and processing of data in the technical solution of this application are in compliance with the relevant laws and regulations of the relevant regions.

[0020] It should be noted that in the embodiments of the present application, certain software, components, models and other existing solutions in the industry may be mentioned, and they should be regarded as exemplary. Their purpose is only to illustrate the feasibility of implementing the technical solution of the present application, but it does not mean that the applicant has or will necessarily use the solution.

[0021] In the related art, users can manage the attribute tags of real estate assets through the attribute tag management interface of the real estate management system. In the current attribute tag management interface, each attribute tag of the real estate assets is manually determined by the user based on experience and manually input by the user. However, this method has human cognitive errors, and the method of manually inputting the attribute tags of real estate assets is extremely inconvenient.

[0022] In order to achieve the purpose of enabling users to quickly determine the attribute tags of real estate assets in an attribute tag management interface in a convenient manner, the present application proposes a data processing method, which proposes the following technical concept: after the user enters the address information of the real estate asset in the attribute tag management interface, data collection is performed on the real estate asset based on the address information to collect asset-related data of the real estate asset, and the asset-related data is processed according to the attribute tag system based on which the real estate management system is based, so as to determine multiple candidate attribute tags of the real estate asset from the asset-related data, and display multiple candidate attribute tags of the real estate asset on the attribute tag management interface, and obtain the target attribute tag selected from the multiple candidate attribute tags, and add the address information and the corresponding target attribute tag to the asset database. Thus, after the user enters the address information of the real estate asset in the attribute management interface, the asset-related data of the real estate asset is actively collected, and the candidate attribute tags of the real estate asset are determined based on the asset-related data of the real estate asset, and the candidate attribute tags are displayed in the attribute management interface, so that the corresponding user can conveniently determine the target attribute tag of the real estate asset by selection.

[0023] The technical solution of the present application and how the technical solution of the present application solves the above-mentioned technical problems are described in detail below with specific embodiments. The following specific embodiments can be combined with each other, and the same or similar concepts or processes may be omitted in some embodiments. The embodiments of the present application will be described below in conjunction with the accompanying drawings.

[0024] First combine Figure 1 , the data processing method provided in the embodiment of the present application is exemplarily described.

[0025] Figure 1 The process of the data processing method provided in the embodiment of the present application Figure 1 .

[0026] It should be noted that the data processing method provided in the embodiment of the present application can be executed by a data processing device, wherein the data processing device can be an electronic device, or can be configured in an electronic device.

[0027] Among them, the electronic device can be any device with computing capabilities, such as a personal computer, a mobile terminal, a server, etc. The mobile terminal can be, for example, a vehicle-mounted device, a mobile phone, a tablet computer, a personal digital assistant, a wearable device, and other hardware devices with various operating systems, touch screens and / or display screens.

[0028] The data processing method can be applied to a real estate management system, specifically the back end of the real estate management system. Accordingly, the data processing device, for example, can be the back end of the real estate management system, and is configured in an electronic device.

[0029] like Figure 1 As shown, the data processing method includes the following steps:

[0030] S101, obtaining address information entered by a user for a real estate asset in a property tag management interface.

[0031] S102, collecting data on the real estate assets based on the address information to collect asset-related data of the real estate assets.

[0032] In this embodiment, after the address information of the real estate asset is obtained, data collection of the real estate asset can be performed based on the address information from a plurality of preset real estate-related websites to collect asset-related data of the real estate asset.

[0033] In some embodiments, the above-mentioned attribute tag management interface may further include an attribute tag recommendation button. In response to the triggering operation of the attribute tag recommendation button, data collection is performed on the real estate asset according to the address information to collect asset-related data of the real estate asset. Thus, only when the attribute tag recommendation button is triggered, the asset-related data of the real estate asset is collected, and the candidate attribute tags of the real estate asset are displayed. The user is given the right to choose by whether the attribute tag recommendation button is triggered, thereby satisfying the personalized needs of the user.

[0034] S103, processing the asset-related data according to the attribute label system on which the real estate management system is based, so as to determine a plurality of candidate attribute labels of the real estate assets from the asset-related data.

[0035] It is understandable that in different application scenarios, according to the attribute label system based on the real estate management system, the asset-related data is processed to determine multiple candidate attribute labels of the real estate assets from the asset-related data in different implementation methods, which are exemplarily described as follows:

[0036] As an example, according to the attribute labeling system on which the real estate management system is based, the asset-related data can be labeled with attribute labels, and based on the attribute labeling results, multiple candidate attribute labels for the real estate assets can be determined.

[0037] As another example, when the attribute tag system includes multiple preset attribute tags and keywords corresponding to the multiple preset attribute tags, keyword extraction can be performed on the asset-related data to obtain keyword extraction results; for each of the multiple preset attribute tags, determine whether there is a target keyword term that matches the first keyword corresponding to the preset attribute tag in the keyword extraction result; when there is a target keyword term that matches the first keyword corresponding to the preset attribute tag in the keyword extraction result, the preset attribute tag is used as a candidate attribute tag.

[0038] As another example, a label classification model corresponding to the attribute label system may be obtained, wherein the label classification model is trained based on sample asset-related data and corresponding attribute label classification results, wherein the attribute label classification results are obtained by classifying the sample asset-related data by attribute labels based on the attribute label system; the asset-related data is input into the label classification model to obtain multiple candidate attribute labels of the real estate asset through the label classification model. Thus, multiple candidate attribute labels of the real estate asset are quickly and accurately determined from the asset-related data through the label classification model corresponding to the attribute label system, thereby improving the accuracy and efficiency of obtaining the candidate attribute labels of the real estate asset.

[0039] It should be noted that the candidate attribute tags may include but are not limited to area, purpose, ownership, lease status and maintenance record.

[0040] S104, displaying a plurality of candidate attribute tags of the real estate assets on the attribute tag management interface.

[0041] In one embodiment of the present disclosure, a plurality of candidate property tags of a real estate asset may be displayed in a designated area of ​​a property tag management interface.

[0042] In one embodiment of the present application, multiple candidate attribute tags of the real estate asset may be displayed in the form of a pop-up window on the attribute tag management interface.

[0043] S105 , in response to a selection operation on a target attribute tag from among a plurality of candidate attribute tags, adding the address information and the corresponding target attribute tag to an asset database.

[0044] In this embodiment, after multiple candidate attribute tags of real estate assets are displayed on the attribute tag management interface, the user can select some or all of the attribute tags from the multiple candidate attribute tags as the target attribute tags of the real estate assets according to needs, and save the real estate assets and the corresponding target attribute tags in the asset database.

[0045] The data processing method provided in the embodiment of the present application, after the user enters the address information of the real estate asset in the attribute tag management interface, based on the address information, data collection is performed on the real estate asset to collect asset-related data of the real estate asset, and the asset-related data is processed according to the attribute tag system on which the real estate management system is based, so as to determine multiple candidate attribute tags of the real estate asset from the asset-related data, and display multiple candidate attribute tags of the real estate asset on the attribute tag management interface, and obtain the target attribute tag selected from the multiple candidate attribute tags, and add the address information and the corresponding target attribute tag to the asset database. Thus, after the user enters the address information of the real estate asset in the attribute management interface, the candidate attribute tags of the real estate asset are actively determined, and the candidate attribute tags are displayed in the attribute management interface, so that the corresponding user can conveniently determine the target attribute tag of the real estate asset by selection.

[0046] Figure 2 The process of the data processing method provided in the embodiment of the present application Figure 2 . It should be noted that, in this embodiment, taking the attribute label system including multiple preset attribute labels and the first keywords of each of the multiple preset attribute labels as an example, an exemplary description is given of a possible implementation method of processing asset-related data according to the attribute label system based on the real estate management system to determine multiple candidate attribute labels of real estate assets from the asset-related data.

[0047] like Figure 2 As shown, the data processing method includes the following steps:

[0048] S201, obtaining address information entered by the user for the real estate asset in the attribute tag management interface.

[0049] S202, collecting data on the real estate assets based on the address information to collect asset-related data of the real estate assets.

[0050] It should be noted that, for the specific description of S201 and S202, reference may be made to the relevant description in other embodiments, which will not be repeated here.

[0051] S203, extracting keywords from the asset-related data to obtain keyword extraction results.

[0052] In one embodiment of the present application, asset-related data can be input into a pre-trained keyword extraction model to obtain keyword extraction results output by the keyword extraction model, wherein the keyword extraction model is trained based on sample asset-related data and its corresponding sample keyword extraction results. Thus, the keyword extraction results of the asset-related data can be quickly and accurately determined through the pre-trained keyword extraction model, thereby improving the accuracy and efficiency of the keyword extraction results.

[0053] In another embodiment of the present application, keyword extraction may be performed on asset-related data using a preset keyword extraction algorithm to obtain a keyword extraction result.

[0054] S204: for each second keyword in the keyword extraction result, determine whether there is a third keyword matching the second keyword in each of the first keywords of the plurality of preset attribute tags.

[0055] S205: Use the preset attribute tag corresponding to the third keyword as a candidate attribute tag.

[0056] S206, displaying a plurality of candidate attribute tags of the real estate assets on the attribute tag management interface.

[0057] S207: In response to a selection operation on a target attribute tag from among a plurality of candidate attribute tags, the address information and the corresponding target attribute tag are added to an asset database.

[0058] It should be noted that, for the specific description of S206 and S207, reference may be made to the relevant description in other embodiments, which will not be repeated here.

[0059] In this embodiment, data collection is performed on real estate assets based on address information to collect asset-related data of the real estate assets, keyword extraction is performed through the asset-related data to obtain keyword extraction results, and candidate attribute labels for the real estate assets are determined based on the keyword extraction results. This can reduce the impact of noise and redundant information in asset-related technologies on subsequent processing, reduce the amount of computation for subsequent processing, save computing resources and time, and improve the efficiency of obtaining candidate attribute labels for real estate assets.

[0060] In order to clearly understand this application, Figure 3 The method of this embodiment is described exemplarily.

[0061] Figure 3 The process of the data processing method provided in the embodiment of the present application Figure 3 .

[0062] like Figure 3 As shown, the method may include:

[0063] S301, obtaining address information entered by the user for real estate assets in the property tag management interface.

[0064] S302, inputting the asset-related data into a pre-trained keyword extraction model to obtain the keyword extraction result output by the keyword extraction model.

[0065] Among them, the keyword extraction model is trained based on sample asset related data and its corresponding sample keyword extraction results.

[0066] It should be noted that, for the specific description of S301 and S302, reference may be made to the relevant description in other embodiments, which will not be repeated here.

[0067] S303: When the attribute tag system includes multiple preset attribute tags and first keywords of each of the multiple preset attribute tags, for each second keyword in the keyword extraction result, determine the semantic matching degree between the second keyword and the first keywords of each of the multiple preset attribute tags.

[0068] In this embodiment, for each first keyword, the semantic representation information of the second keyword and the semantic representation information of the first keyword can be determined, and the semantic matching degree of the second keyword and the first keyword can be determined based on the semantic representation information of the second keyword and the semantic representation information of the first keyword.

[0069] In this embodiment, a matching degree calculation may be performed on the semantic representation information of the second keyword and the semantic representation information of the first keyword to obtain the semantic matching degree between the second keyword and the first keyword.

[0070] S304: Determine whether there is a keyword whose semantic matching degree is greater than a preset matching degree threshold in the first keywords of the plurality of preset attribute tags. If so, execute S305.

[0071] S305: Use a keyword whose semantic matching degree is greater than a preset matching threshold as a third keyword.

[0072] S306: Use the preset attribute tag corresponding to the third keyword as a candidate attribute tag.

[0073] S307, displaying a plurality of candidate attribute tags of the real estate assets on the attribute tag management interface.

[0074] S308: In response to a selection operation on a target attribute tag from among a plurality of candidate attribute tags, the address information and the corresponding target attribute tag are added to an asset database.

[0075] In this embodiment, by determining the semantic matching degree between the second keyword and the first keyword in the semantic dimension, the deep meaning of the two keywords can be captured, rather than just the matching between characters, thereby improving the accuracy of the third keyword determined from the first keyword, and further improving the accuracy of the obtained candidate attribute labels.

[0076] Based on any of the above embodiments, before processing the asset-related data according to the attribute label system on which the real estate management system is based to determine multiple candidate attribute labels of real estate assets from the asset-related data, the method also includes: performing data preprocessing on the asset-related data, wherein the data preprocessing includes at least one of the following: data cleaning processing, data standardization processing, and data missing value processing. Thus, by performing data preprocessing on the asset-related data, errors, outliers, missing values, and other problems in the asset-related data can be identified and corrected, thereby ensuring the accuracy of the asset-related data, and further improving the accuracy of the candidate attribute labels of the real estate assets subsequently determined based on the asset-related data.

[0077] Figure 4 A schematic diagram of the structure of a data processing device provided in an embodiment of the present application.

[0078] like Figure 4 As shown, the data processing device 400 may include:

[0079] The acquisition module 401 is used to acquire the address information entered by the user for the real estate asset in the property tag management interface.

[0080] The collection module 402 is used to collect data on the real estate assets according to the address information, so as to collect asset-related data of the real estate assets.

[0081] The tag determination module 403 is used to process the asset-related data according to the attribute tag system on which the real estate management system is based, so as to determine a plurality of candidate attribute tags of the real estate assets from the asset-related data.

[0082] The display module 404 is used to display multiple candidate attribute tags of real estate assets on the attribute tag management interface.

[0083] The data storage module 405 is used to add the address information and the corresponding target attribute tag to the asset database in response to a selection operation on a target attribute tag from a plurality of candidate attribute tags.

[0084] In one embodiment of the present application, the attribute tag system includes a plurality of preset attribute tags and first keywords of the plurality of preset attribute tags, and the tag determination module 403 includes:

[0085] An extraction unit, used for performing keyword extraction on asset-related data to obtain keyword extraction results;

[0086] A first determining unit is used to determine, for each second keyword in the keyword extraction result, whether there is a third keyword matching the second keyword in each of the first keywords of the plurality of preset attribute tags;

[0087] The second determining unit is configured to use the preset attribute tag corresponding to the third keyword as a candidate attribute tag.

[0088] In one embodiment of the present application, the extraction unit is specifically used to: input asset-related data into a pre-trained keyword extraction model, and obtain keyword extraction results output by the keyword extraction model, wherein the keyword extraction model is trained based on sample asset-related data and its corresponding sample keyword extraction results.

[0089] In one embodiment of the present application, the first determination unit is specifically used to: determine, for each second keyword in the keyword extraction result, the semantic matching degree between the second keyword and the first keyword of each of the multiple preset attribute tags; determine whether there is a keyword whose semantic matching degree is greater than a preset matching degree threshold among the first keywords of each of the multiple preset attribute tags; wherein, if there is a keyword whose semantic matching degree is greater than the preset matching degree threshold among the first keywords of each of the multiple preset attribute tags, then the keyword whose semantic matching degree is greater than the preset matching degree threshold is used as the third keyword.

[0090] In one embodiment of the present application, the label determination module 403 is specifically used to: obtain a label classification model corresponding to the attribute label system, wherein the label classification model is trained based on sample asset-related data and corresponding attribute label classification results, wherein the attribute label classification results are obtained by classifying the sample asset-related data by attribute labels according to the attribute label system; input the asset-related data into the label classification model to obtain multiple candidate attribute labels for the real estate assets through the label classification model.

[0091] In one embodiment of the present application, before processing the asset-related data according to the attribute label system based on the real estate management system to determine multiple candidate attribute labels of the real estate asset from the asset-related data, the apparatus may further include:

[0092] The preprocessing module is used to perform data preprocessing on asset-related data, wherein the data preprocessing includes at least one of the following: data cleaning processing, data standardization processing, and data missing value processing.

[0093] The data processing device provided in the embodiment of the present application can be used to execute the technical solution of the data processing method in the above embodiment. Its implementation principle and technical effect are similar and will not be repeated here.

[0094] It should be noted that it should be understood that the division of the various modules of the above device is only a division of logical functions. In actual implementation, they can be fully or partially integrated into one physical entity, or they can be physically separated. And these modules can all be implemented in the form of software called by processing elements; they can also be all implemented in the form of hardware; some modules can also be implemented in the form of software called by processing elements, and some modules can be implemented in the form of hardware. For example, the data storage module 405 can be a separately established processing element, or it can be integrated in a chip of the above device. In addition, it can also be stored in the memory of the above device in the form of program code, and called and executed by a processing element of the above device. The function of the above data storage module 405. The implementation of other modules is similar. In addition, these modules can be fully or partially integrated together, or they can be implemented independently. The processing element here can be an integrated circuit with signal processing capabilities. In the implementation process, each step of the above method or each module above can be completed by an integrated logic circuit of hardware in the processor element or instructions in the form of software.

[0095] Figure 5 The electronic device in this embodiment may be a terminal device or a server.

[0096] like Figure 5 As shown, the electronic device may include: a transceiver 121 , a processor 122 , and a memory 123 .

[0097] The processor 122 executes the computer execution instructions stored in the memory, so that the processor 122 executes the scheme in the above embodiment. The processor 122 can be a general-purpose processor, including a central processing unit CPU, a network processor (network processor, NP), etc.; it can also be a digital signal processor DSP, an application-specific integrated circuit ASIC, a field programmable gate array FPGA or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components.

[0098] The memory 123 is connected to the processor 122 via a system bus and completes communication between them. The memory 123 is used to store computer program instructions.

[0099] The transceiver 121 may be used to obtain address information entered by a user in the property tag management interface for a real estate asset.

[0100] The system bus can be a peripheral component interconnect (PCI) bus or an extended industry standard architecture (EISA) bus, etc. The system bus can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, only one thick line is used in the figure, but it does not mean that there is only one bus or one type of bus. The transceiver is used to realize the communication between the database access device and other computers (such as clients, read-write libraries, and read-only libraries). The memory may include random access memory (RAM) and may also include non-volatile memory.

[0101] An embodiment of the present application also provides a chip for executing instructions, which is used to execute the technical solution of the data processing method in the above embodiment.

[0102] An embodiment of the present application also provides a computer-readable storage medium, in which computer-executable instructions are stored. When the computer-executable instructions are executed by a processor, they are used to implement the technical solution of the data processing method in the above embodiment.

[0103] An embodiment of the present application also provides a computer program product, which includes a computer program stored in a computer-readable storage medium. At least one processor can read the computer program from the computer-readable storage medium. When at least one processor executes the computer program, it can implement the technical solution of the data processing method in the above embodiment.

[0104] The electronic device, chip, computer-readable storage medium, and computer program product provided in the embodiments of the present application can be used to execute the technical solutions of the task processing methods in the above embodiments. Their implementation principles and technical effects are similar and will not be repeated here.

[0105] Those skilled in the art will readily appreciate other embodiments of the present application after considering the specification and practicing the invention disclosed herein. The present application is intended to cover any modification, use or adaptation of the present application, which follows the general principles of the present application and includes common knowledge or customary techniques in the art that are not disclosed in the present application. The specification and examples are intended to be exemplary only, and the true scope and spirit of the present application are indicated by the following claims.

[0106] It should be understood that the present application is not limited to the precise structures that have been described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the present application is limited only by the appended claims.

Claims

1. A data processing method, characterized in that: The method is applied to a real estate management system, and the method comprises: Obtain the address information entered by the user for the real estate asset in the property tag management interface; According to the address information, data collection is performed on the real estate asset to collect asset-related data of the real estate asset; Processing the asset-related data according to the attribute label system on which the real estate management system is based, so as to determine a plurality of candidate attribute labels of the real estate asset from the asset-related data; Displaying a plurality of candidate attribute tags of the real estate asset on the attribute tag management interface; In response to a selection operation on a target attribute tag among the plurality of candidate attribute tags, the address information and the corresponding target attribute tag are added to an asset database.

2. The method according to claim 1, characterized in that The attribute tag system includes a plurality of preset attribute tags and first keywords of the plurality of preset attribute tags respectively. The asset-related data is processed according to the attribute tag system based on which the real estate management system is based to determine a plurality of candidate attribute tags of the real estate asset from the asset-related data, including: Performing keyword extraction on the asset-related data to obtain a keyword extraction result; For each second keyword in the keyword extraction result, determining whether there is a third keyword matching the second keyword in each of the first keywords of the plurality of preset attribute tags; The preset attribute tag corresponding to the third keyword is used as the candidate attribute tag.

3. The method according to claim 2, characterized in that The extracting keywords from the asset-related data to obtain keyword extraction results includes: The asset-related data is input into a pre-trained keyword extraction model to obtain the keyword extraction result output by the keyword extraction model, wherein the keyword extraction model is trained based on sample asset-related data and its corresponding sample keyword extraction results.

4. The method according to claim 2, characterized in that The determining whether there is a third keyword matching the second keyword in the first keywords of each of the plurality of preset attribute tags includes: For each second keyword in the keyword extraction result, determining a semantic matching degree between the second keyword and each first keyword of the plurality of preset attribute tags; Determine whether there is a keyword whose semantic matching degree is greater than a preset matching degree threshold among the first keywords of each of the plurality of preset attribute tags; If there is a keyword whose semantic matching degree is greater than a preset matching degree threshold among the first keywords of each of the plurality of preset attribute tags, the keyword whose semantic matching degree is greater than the preset matching degree threshold is used as the third keyword.

5. The method according to claim 1, characterized in that The processing of the asset-related data according to the attribute label system based on the real estate management system to determine a plurality of candidate attribute labels of the real estate asset from the asset-related data includes: Acquire a label classification model corresponding to the attribute label system, wherein the label classification model is trained based on the sample asset-related data and the corresponding attribute label classification results, wherein the attribute label classification results are obtained by classifying the sample asset-related data by attribute labels based on the attribute label system; The asset-related data is input into the label classification model to obtain a plurality of candidate attribute labels of the real estate asset through the label classification model.

6. The method according to any one of claims 1 to 5, characterized in that Before processing the asset-related data according to the attribute label system on which the real estate management system is based to determine a plurality of candidate attribute labels of the real estate asset from the asset-related data, the method further includes: The asset-related data is subjected to data preprocessing, wherein the data preprocessing includes at least one of the following: data cleaning processing, data standardization processing, and data missing value processing.

7. A data processing device, characterized in that: The device is applied to a real estate management system, and comprises: The acquisition module is used to obtain the address information entered by the user for the real estate asset in the property tag management interface; A collection module, used to collect data on the real estate asset according to the address information, so as to collect asset-related data of the real estate asset; a label determination module, configured to process the asset-related data according to the attribute label system on which the real estate management system is based, so as to determine a plurality of candidate attribute labels of the real estate asset from the asset-related data; A display module, configured to display a plurality of candidate attribute tags of the real estate asset on the attribute tag management interface; The data storage module is used to add the address information and the corresponding target attribute tag to an asset database in response to a selection operation on a target attribute tag among the multiple candidate attribute tags.

8. An electronic device, characterized in that: include: A processor, and a memory communicatively connected to the processor; The memory stores computer-executable instructions; The processor executes the computer-executable instructions stored in the memory to implement the method according to any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer-executable instructions, which are used to implement the method according to any one of claims 1 to 6 when executed by a processor.

10. A computer program product, characterized in that The invention comprises a computer program, which implements the method according to any one of claims 1 to 6 when being executed by a processor.

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