User evaluation information processing method and system, medium and electronic equipment
By extracting keyword information in user evaluation text and generating user evaluation summary and summary, the problem of information extraction difficulties caused by the diversity of user evaluation expressions is solved, the accuracy and consistency of user evaluation views is improved, and merchants can better understand customer needs and optimize products and services.
Patent Information
- Application Number
- CN202510016455.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-01-06
- Publication Date
- 2025-05-30
AI Technical Summary
Due to the variety of expressions of user reviews, it becomes very difficult to extract useful information from user review texts of different expression types, thereby biasing the extracted user review views.
By obtaining user review text, keyword information is extracted to generate user review summary, user review types are obtained based on keyword information, and user review summary is generated to help merchants better understand customer needs.
It effectively overcomes the difficulty of information extraction caused by the diversity of user evaluation expressions, improves the accuracy and consistency of user evaluation views, helps merchants optimize products and services, and formulates more effective marketing strategies.
Smart Images
Figure CN120068818A_ABST
Abstract
Description
Technical Field
[0001] This application relates to the technical field of data information processing, and in particular, to a method and system for processing user evaluation information, a medium, and an electronic device. Background Art
[0002] After a merchant provides services to a user, the merchant will receive user usage opinions from the user. Summarizing the user usage opinions from the user helps to provide targeted customer service for the user usage opinions and improve service quality. In some cases, named entity recognition technology is used to extract entities such as products from the text, and syntactic analysis and other methods are used to understand the role of the product in the review, and user evaluation viewpoints are obtained based on the extracted entities and syntactic analysis results; in other cases, relation extraction technology is used to identify the causal relationship in the user evaluation from the text, directly extract the product and the corresponding evaluation words, and user evaluation viewpoints are obtained based on the extraction results.
[0003] Although the above methods can extract user evaluation viewpoints, since the evaluation expressions of users are diverse and each comment is free-form text, it is very difficult to extract useful information from user evaluation texts of different expression types, resulting in deviations in the extracted user evaluation viewpoints. Summary of the Invention
[0004] The purpose of this application is to provide a method and system for processing user evaluation information, a medium, and an electronic device, which are used to solve the technical problem that it is very difficult to extract useful information due to the diverse expression methods of user evaluations, resulting in deviations in the extracted user evaluation viewpoints.
[0005] To achieve the above and other related purposes, the first aspect of this application provides a method for processing user evaluation information, the method including: obtaining a user evaluation text including user opinions; extracting keyword information in the user evaluation text to generate a user evaluation summary; the user evaluation summary including: a user evaluation subject and keyword information; obtaining a user evaluation type based on the keyword information, and generating a user evaluation summary based on the user evaluation type and the user evaluation summary; sending the user evaluation summary to the merchant side for displaying the user evaluation summary when presenting user opinions to the merchant.
[0006] In some embodiments of the first aspect of this application, extracting keyword information in the user evaluation text to generate a user evaluation summary includes: analyzing the user evaluation text using a keyword information extraction model and Prompt prompts to generate a user evaluation summary.
[0007] In some embodiments of the first aspect of the present application, a keyword information extraction model and the Prompt prompt are used to analyze the user evaluation text to generate a user evaluation summary, including: constructing a Prompt template with the user evaluation subject and the user evaluation content as slot information; extracting keywords from the user evaluation text to obtain keyword information corresponding to the user evaluation content; replacing the keyword information into the Prompt template and inputting it into the keyword information extraction model to output a user evaluation summary.
[0008] In some embodiments of the first aspect of the present application, obtaining the user evaluation type based on the keyword information includes: vectorizing the keyword information to obtain keyword information data; calculating the similarity between the keyword information data and the data in the user evaluation type vector library to obtain the user evaluation type.
[0009] In some embodiments of the first aspect of the present application, calculating the similarity between the keyword information data and the data in the user evaluation type vector library to obtain the user evaluation type includes: calculating the similarity between the keyword information and the historical keyword information data under each user evaluation type in the user evaluation type vector library to obtain multiple similarity values; extracting the user evaluation type corresponding to the historical keyword information data with the highest similarity value as the user evaluation type corresponding to the keyword information data.
[0010] In some embodiments of the first aspect of the present application, the method for processing the user evaluation information further includes: in response to a user's request to view the user evaluation summary, summarizing several user evaluation summaries associated with the same user evaluation subject to obtain a summary summary including the user evaluation type, the proportion of the user evaluation type, and the user evaluation summary under the same user evaluation type; returning the summary summary content to the client to display the summary summary when presenting the user evaluation summary to the user.
[0011] To achieve the above and other related purposes, the second aspect of the present application provides a user evaluation information processing system, which includes: an acquisition module for acquiring a user evaluation text including user opinions; a keyword information extraction module for extracting keyword information from the user evaluation text to generate a user evaluation summary, where the user evaluation summary includes: a user evaluation subject and keyword information; a user evaluation information processing module for obtaining a user evaluation type based on the keyword information and generating a user evaluation summary based on the user evaluation type and the user evaluation summary; a display module for sending the user evaluation summary to the merchant side to display the user evaluation summary when presenting user opinions to the merchant.
[0012] In some embodiments of the second aspect of the present application, the processing system for user evaluation information further includes: a summarization module, configured to, in response to a merchant's viewing request for the user evaluation summary, summarize several user evaluation summaries associated with the same user evaluation subject to obtain a summarization including user evaluation types, the proportion of user evaluation types, and user evaluation summaries under the same user evaluation type; and return the summarization content to the merchant side to display the summarization when presenting the user evaluation summary to the merchant.
[0013] To achieve the above object and other related objects, a third aspect of the present application provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by an electronic device, it implements the method for processing user evaluation information according to any one of the first aspects of the present application.
[0014] To achieve the above object and other related objects, a fourth aspect of the present application provides an electronic device, including: a processor and a memory; the memory is used to store a computer program; the processor is used to execute the computer program stored in the memory so that the electronic device executes the method for processing user evaluation information according to any one of the first aspects of the present application.
[0015] As described above, the present application has the following beneficial effects:
[0016] According to the method, system, medium, and electronic device for processing user evaluation information of the present application, by extracting key information from user evaluation texts containing user opinions to generate user evaluation summaries, analyzing user evaluation types based on the user evaluation summaries, and further generating user evaluation summaries in the form of short sentences, the present application extracts user opinions with diverse text expression forms into user evaluation summaries in the form of short sentences, which can help merchants better understand customer needs, optimize products and services, and formulate more effective marketing strategies. BRIEF DESCRIPTION OF THE DRAWINGS
[0017] Figure 1 It shows a schematic diagram of a scenario of the electronic device of the present application in an embodiment.
[0018] Figure 2 It shows a schematic flowchart of the method for processing user evaluation information of the present application in an embodiment.
[0019] Figure 3 It shows a schematic structural diagram of the user evaluation information processing model of the present application in an embodiment.
[0020] Figure 4 It shows a schematic structural diagram of the user evaluation information processing system of the present application in an embodiment.
[0021] Figure 5 It shows a schematic structural diagram of the electronic device described in this application.
[0022] Description of component labels
[0023] 11 Mobile phone
[0024] 12 Tablet computer
[0025] 13 Laptop computer
[0026] 400 Target tracking system
[0027] 410 First acquisition module
[0028] 420 Second acquisition module
[0029] 430 Third acquisition module
[0030] 440 First processing module
[0031] 450 Second processing module
[0032] 51 Processing unit
[0033] 52 Memory
[0034] 521 Random access memory
[0035] 522 Cache memory
[0036] 523 Storage system
[0037] 524 Program / utility
[0038] 525 Program module
[0039] 53 Bus
[0040] 54 Input / output interface
[0041] 55 Network adapter
[0042] Steps S21 to S24 Detailed implementation manners
[0043] The following uses specific specific examples to illustrate the implementation manners of this application. Those skilled in the art can easily understand the other advantages and effects of this application from the content disclosed in this specification. This application can also be implemented or applied through other different specific implementation manners. Various details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of this application. It should be noted that, without conflict, the following embodiments and the features in the embodiments can be combined with each other.
[0044] It should be noted that the diagrams provided in the following embodiments only illustrate the basic concept of the present application in a schematic manner. Therefore, only the components related to the present application are shown in the diagrams, rather than being drawn according to the number, shape, and size of the components in actual implementation. The type, quantity, and proportion of each component in actual implementation can be arbitrarily changed, and the component layout type may also be more complex.
[0045] The following embodiments of the present application provide a method and system for processing user evaluation information, a medium, and an electronic device. By obtaining a pixel-level matrix and a prediction feature matrix through a frame feature matrix and a target text feature, and performing target tracking based on the prediction feature matrix and the target text feature, the predefined target of text prompt can be effectively tracked.
[0046] The method for processing user evaluation information of the present application can be applied to an electronic device as Figure 1 shown. The electronic device described in the present application may include a mobile phone 11 with wireless charging function, a tablet computer 12, a notebook computer 13, a wearable device, a vehicle-mounted device, an augmented reality (AR) / virtual reality (VR) device, an ultra-mobile personal computer (UMPC), a netbook, a personal digital assistant (PDA), etc. The specific type of the electronic device is not limited in the embodiments of the present application.
[0047] For example, the electronic device may be a station (STAION, ST) in a WLAN with wireless charging function, a cellular phone with wireless charging function, a cordless phone, a session initiation protocol (SIP) phone, a wireless local loop (WLL) station, a personal digital assistant (PDA) device, a handheld device with wireless charging function, a computing device or other processing device, a computer, a laptop computer, a handheld communication device, a handheld computing device, and / or other devices for communicating on a wireless system, as well as a next-generation communication system. For example, a mobile terminal in a 5G network, a mobile terminal in a future evolved public land mobile network (PLMN), or a mobile terminal in a future evolved non-terrestrial network (NTN), etc.
[0048] The principles and implementation manners of the method and system for processing user evaluation information, medium and electronic device according to the embodiments of the present application will be described in detail below with reference to the accompanying drawings, so that those skilled in the art can understand the method and system for processing user evaluation information, medium and electronic device of the embodiments without creative labor.
[0049] To facilitate the understanding of the embodiments of the present application, first, in combination with Figure 2 it is described in detail. Figure 2 Fig. 1 shows a schematic flowchart of a method for processing user evaluation information according to an embodiment of the present invention. The method for processing user evaluation information in this embodiment mainly includes the following steps:
[0050] Step S21: Obtain a user evaluation text including user opinions.
[0051] In this embodiment, the user evaluation text is the user's feedback and / or comment on a certain product or several products of a merchant; the user's feedback and / or comment on a certain product or several products of a merchant input by the user to the intelligent interaction software or voice device is defined as the user evaluation text; the user evaluation text can be a sentence text or a paragraph text, and the text format of the user evaluation text is not set here.
[0052] It should be noted that the user evaluation text in this embodiment can be a Chinese or English text directly input by the user to the intelligent interaction software, or a text recognition result obtained by converting and decoupling the voice input by the user.
[0053] Step S22: Extract keyword information from the user evaluation text to generate a user evaluation summary; the user evaluation summary includes: a user evaluation subject and keyword information.
[0054] In this embodiment, a keyword information extraction model and Prompt prompt words are used to analyze the user evaluation text to generate a user evaluation summary.
[0055] Specifically, a Prompt template with the user evaluation subject and user evaluation content as slot information is constructed; keyword extraction is performed on the user evaluation text to obtain keyword information corresponding to the user evaluation subject and the user evaluation content, and the keyword information is replaced into the Prompt template to output the user evaluation summary.
[0056] In this embodiment, the first Prompt template is set as {"Please summarize the following text content, and the summary should include the user evaluation subject and the user evaluation content"}, and the user evaluation text is input into the user evaluation information processing model based on the first Prompt template to obtain the first user evaluation summary; the second Prompt template is set as {"Please extract the keywords of the first user evaluation summary and summarize them as: [user evaluation subject][keywords]"}, and the first user evaluation summary is input into the user evaluation information processing model based on the second Prompt template to format and summarize the first user evaluation summary, and finally output the user evaluation summary.
[0057] It should be noted that the above-extracted keywords are at least one.
[0058] In this embodiment, the user evaluation information processing model is a large language model (Large Language Model, LLM). As Figure 3 shown, the user evaluation information processing model includes a first LLM layer, a second LLM layer, and a third LLM layer; the user evaluation text is input into the first LLM layer based on the first Prompt template to obtain the first user evaluation summary, and the first user evaluation summary is input into the second LLM layer based on the second Prompt template to obtain the user evaluation summary; the third LLM layer is used to generate a user evaluation summary by combining the user evaluation type and the user evaluation summary.
[0059] Exemplarily, the user evaluation text is "Product A is really getting smaller and smaller. It's really hard for these two small Product As to be squeezed in a box. [Smile] Suddenly, I feel that the Product A in my childhood was really good in quality and low in price... at least the quantity was substantial", and the first user evaluation summary output based on the first Prompt template is "Product A is getting smaller, and the Product A in childhood was good in quality and low in price", and the user evaluation summary output based on the second Prompt template is "Product A has become smaller".
[0060] Exemplarily, the user evaluation text is "Has the package activity of Product C of Merchant B passed? I thought it would last until around June 8th. [Crying]", and the output user evaluation summary is "Has the package activity of Product C passed?".
[0061] Step S23: Obtain the user evaluation type based on the keyword information, and generate a user evaluation summary based on the user evaluation type and the user evaluation summary.
[0062] In this embodiment, the user evaluation types obtained based on the keyword information include: vectorizing the keyword information to obtain keyword information data, and calculating the similarity between the keyword information data and the data in the user evaluation type vector library to obtain the user evaluation types.
[0063] Specifically, calculate the similarity between the keyword information data and the historical keyword information data under each user evaluation type in the user evaluation type vector library to obtain multiple similarity values; extract the user evaluation type corresponding to the historical keyword information data with the highest similarity as the user evaluation type corresponding to the keyword information data.
[0064] Specifically, calculate the similarity between the keyword information data and the historical keyword information data through cosine similarity, and use the user evaluation type corresponding to the historical keyword information data with the highest similarity to the keyword information data as the user evaluation type corresponding to the keyword information data.
[0065] Specifically, as Figure 3 shown, input the obtained user evaluation type and the user evaluation summary into the third LLM layer of the user evaluation information processing model based on the third Prompt template to output the user evaluation summary.
[0066] Among them, the third Prompt template is {"Please output the user evaluation summary: [user evaluation type][user evaluation summary]"} "Please output the user evaluation summary:".
[0067] Exemplarily, for the user evaluation summary "Product A has become smaller" obtained in the above embodiment, where the keyword is "become smaller", convert the above keyword information into vector data, i.e., keyword information data, calculate the similarity with the historical keyword information data, and further obtain the user evaluation type as "complaint"; based on the obtained user evaluation type and the obtained user evaluation summary, obtain the user evaluation summary: Complaint that Product A has become smaller.
[0068] Exemplarily, for the user evaluation summary obtained in the above embodiment as "Has the package activity of Product C passed?", obtain the user evaluation summary: Inquiry about whether the package activity of Product C has passed.
[0069] Step S24: Send the user evaluation summary to the merchant side to display the user evaluation summary when presenting user opinions to the merchant.
[0070] In this embodiment, send the obtained user evaluation summary to the server side, and in response to the merchant's request to view the user evaluation text, display the user evaluation summary.
[0071] Exemplarily, the user evaluation summary can be presented to the merchant instead of the user evaluation text, or the user evaluation summary can be presented to the merchant synchronously with the user evaluation text, and the user evaluation summary can be prominently marked.
[0072] In some implementation manners, the method for processing the user evaluation information further includes: in response to a viewing request of the merchant for the user evaluation summary, summarizing several user evaluation summaries associated with the same user evaluation subject to obtain a summary including user evaluation types, the proportion of user evaluation types, and user evaluation summaries under the same user evaluation type; returning the summary content to the server to display the summary when presenting the user evaluation summary to the merchant.
[0073] In this embodiment, when a merchant views the user evaluation text of a certain product, all user evaluation summaries under this product are aggregated to obtain a user evaluation summary set of this product, and the user evaluation summary set is summarized to divide the user evaluation summary set according to user evaluation types, and further calculate the proportion of different user evaluation types in the user evaluation summary set, and extract keyword information from the user evaluation summaries under each user evaluation type to obtain a user evaluation abstract under this user evaluation type, and combine the proportion of different user evaluation types in the user evaluation summary set and the user evaluation abstract under each user evaluation type to generate a summary.
[0074] It should be noted that in the embodiments of the present application, words such as "exemplarily" or "for example" represent examples, illustrations or explanations. Any embodiment or design solution described as "exemplarily" or "for example" in the present application should not be construed as being more preferred or more advantageous than other embodiments or design solutions. Exactly, the use of words such as "exemplarily" or "for example" is intended to present relevant concepts in a specific manner.
[0075] It should be noted that the protection scope of the method for processing the user evaluation information described in the present application is not limited to the execution order of the steps listed in this embodiment. Any solution implemented by adding or subtracting steps of the prior art and replacing steps according to the principle of the present application is included in the protection scope of the present application.
[0076] Figure 4 is a schematic block diagram of a user evaluation information processing system provided by an embodiment of the present application. As Figure 4 shown, the user evaluation information processing system 400 includes: an acquisition module 410, a keyword information extraction module 420, a user evaluation information processing module 430, a display module 440, and a summary module 450.
[0077] In this embodiment, the obtaining module 410 is configured to obtain a user evaluation text including user opinions; the keyword information extraction module 420 is configured to extract keyword information from the user evaluation text to generate a user evaluation summary, where the user evaluation summary includes: a user evaluation subject and keyword information; the user evaluation information processing module 430 is configured to obtain a user evaluation type based on the keyword information, and generate a user evaluation summary based on the user evaluation type and the user evaluation summary; the display module 440 is configured to send the user evaluation summary to the merchant side to display the user evaluation summary when presenting user opinions to the merchant; the induction and summary module 450 is configured to respond to a viewing request of the merchant for the user evaluation summary, and summarize several user evaluation summaries associated with the same user evaluation subject to obtain an induction and summary including a user evaluation type, a proportion of the user evaluation type, and user evaluation summaries under the same user evaluation type, and return the induction and summary content to the merchant side to display the induction and summary when presenting the user evaluation summary to the merchant.
[0078] It should be understood that the specific processes for each module to execute the above corresponding steps have been described in detail in the above method embodiments. For the sake of brevity, they will not be repeated here.
[0079] It should also be understood that the division of modules in the embodiments of the present application is illustrative, and is only a logical function division. There may be other division methods in actual implementation. In addition, in each embodiment of the present application, the functional modules may be integrated in one processor, may exist separately physically, or two or more modules may be integrated in one module. The above integrated modules may be implemented in the form of hardware or in the form of software functional modules.
[0080] The embodiments of the present application also provide a computer-readable storage medium. Those of ordinary skill in the art can understand that all or part of the steps in the method of the above embodiments can be completed by a program instructing a processor. The program can be stored in a computer-readable storage medium, and the storage medium is a non-transitory medium, such as random access memory, read-only memory, flash memory, hard disk, solid state drive, magnetic tape, floppy disk, optical disc, and any combination thereof. The above storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server or a data center integrating one or more available media. The available medium can be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., digital video disc (DVD)), or a semiconductor medium (e.g., solid state disk (SSD)), etc.
[0081] The embodiments of the present application also provide an electronic device, including: a processor and a memory.
[0082] Specifically, the memory is used to store a computer program; the memory includes: various media that can store program codes, such as ROM, RAM, magnetic disk, USB flash drive, memory card, or optical disc.
[0083] The processor is used to execute the computer program stored in the memory, so that the electronic device executes the above method for processing user evaluation information.
[0084] As Figure 5 shown, the electronic device of the present invention is presented in the form of a general-purpose computing device. The components of the electronic device may include, but are not limited to: one or more processors or processing units 51, a memory 52, and a bus 53 connecting different system components (including the memory 52 and the processing unit 51).
[0085] The bus 53 represents one or more of several types of bus structures, including a memory bus or a memory controller, a peripheral bus, a graphics acceleration port, a processor, or a local bus using any bus structure in a variety of bus structures. For example, these architectures include, but are not limited to, Industry Standard Architecture (ISA) bus, Micro Channel Architecture (MAC) bus, Enhanced ISA bus, Video Electronics Standards Association (VESA) local bus, and Peripheral Component Interconnect (PCI) bus.
[0086] An electronic device typically includes a variety of computer system-readable media. These media can be any available media that can be accessed by the electronic device, including volatile and non-volatile media, removable and non-removable media.
[0087] The memory 52 may include a computer system readable medium in the form of volatile memory, such as random access memory (RAM) 521 and / or cache memory 522. The electronic device may further include other removable / non-removable, volatile / non-volatile computer system storage media. By way of example only, the storage system 523 may be used for reading and writing on non-removable, non-volatile magnetic media ( Figure 5 not shown, commonly referred to as a "hard disk drive"). Although Figure 5 not shown in the figure, a disk drive for reading and writing on removable non-volatile disks (such as "floppy disks") and an optical disk drive for reading and writing on removable non-volatile optical disks (such as CD-ROM, DVD-ROM or other optical media) may be provided. In these cases, each drive may be connected to the bus 53 through one or more data medium interfaces. The memory 52 may include at least one program product having a set (such as at least one) of program modules configured to perform the functions of the embodiments of the present invention.
[0088] A program / utility 524 having a set (at least one) of program modules 525 may be stored, for example, in the memory 52. Such program modules 525 include, but are not limited to, an operating system, one or more application programs, other program modules, and program data. An implementation of a network environment may be included in each or some combination of these examples. The program modules 525 generally execute the functions and / or methods in the embodiments described in the present invention.
[0089] The electronic device may also communicate with one or more external devices (such as a keyboard, a pointing device, a display, etc.), and may also communicate with one or more devices that enable a user to interact with the electronic device, and / or communicate with any device that enables the electronic device to communicate with one or more other computing devices (such as a network card, a modem, etc.).
[0090] As described above, this is only the specific implementation manner of this application, but the protection scope of this application is not limited thereto. Any person skilled in the art within the technical scope disclosed in this application can easily think of changes or substitutions, which should all be covered by the protection scope of this application. Therefore, the protection scope of this application shall be subject to the protection scope of the claims.
[0091] In summary, the present application provides a method and system, a medium, and an electronic device for processing user evaluation information. According to the method and system, the medium, and the electronic device for processing user evaluation information of the present application, key information is extracted from a user evaluation text containing user opinions to generate a user evaluation summary, and the user evaluation type is analyzed based on the user evaluation summary, and further a user evaluation summary in the form of short sentences is generated. The present application extracts user opinions with various forms of text expressions into a user evaluation summary in the form of short sentences, which can help merchants better understand customer needs, optimize products and services, and formulate more effective marketing strategies. Therefore, the present application effectively overcomes various disadvantages in the prior art and has high industrial utilization value.
[0092] The above embodiments are only illustrative of the principles and effects of the present application, and are not used to limit the present application. Any person familiar with this technology can modify or change the above embodiments without departing from the spirit and scope of the present application. Therefore, all equivalent modifications or changes completed by those with ordinary knowledge in the technical field without departing from the spirit and technical ideas disclosed by the present application should still be covered by the claims of the present application.
Claims
1. A method for processing user evaluation information, characterized in that: The method comprises: Acquire a user evaluation text including user opinions; the user evaluation text includes at least one item; Extracting keyword information from the user evaluation text to generate a user evaluation summary; the user evaluation summary includes: the user evaluation body and keyword information; Acquire the user evaluation type based on the keyword information, and generate a user evaluation summary based on the user evaluation type and the user evaluation summary; Sending the user evaluation summary to the merchant end so as to display the user evaluation summary when displaying the user opinions to the merchant; Acquiring the user evaluation type based on the keyword information includes: Vectorize the keyword information to obtain keyword information data; The keyword information data is similarly calculated with the data in the user evaluation type vector library to obtain the user evaluation type.
2. The method for processing user evaluation information according to claim 1, characterized in that: Extracting keyword information from the user evaluation text to generate a user evaluation summary includes: The user evaluation text is analyzed using a keyword information extraction model and a prompt word to generate a user evaluation summary.
3. The method for processing user evaluation information according to claim 2, characterized in that: The user evaluation text is analyzed using the keyword information extraction model and the Prompt word to generate a user evaluation summary including: Construct a prompt template that uses the user evaluation subject and user evaluation content as slot information; Extracting keywords from the user evaluation text to obtain keyword information corresponding to the user evaluation content; The keyword information is replaced into the Prompt template and input into the keyword information extraction model to output a user evaluation summary.
4. The method for processing user evaluation information according to claim 1, characterized in that: The keyword information data is similarly calculated with the data in the user evaluation type vector library to obtain the user evaluation type, including: Calculate similarity between the keyword information data and the historical keyword information data under each user evaluation type in the user evaluation type vector library to obtain multiple similarity values; The user evaluation type corresponding to the historical keyword information data having the highest similarity value is extracted as the user evaluation type corresponding to the keyword information data.
5. The method for processing user evaluation information according to claim 1, characterized in that: The method further comprises: In response to a merchant's request to view the user evaluation summary, a plurality of the user evaluation summaries associated with the same user evaluation subject are summarized to obtain a summary including user evaluation types, user evaluation type proportions, and user evaluation summaries under the same user evaluation type; The summary content is returned to the merchant end so that the summary can be displayed when the user evaluation summary is displayed to the merchant.
6. A system for processing user evaluation information, characterized in that: The system comprises: An acquisition module, used to acquire a user evaluation text including user opinions; the user evaluation text includes at least one item; A keyword information extraction module is used to extract keyword information from the user evaluation text to generate a user evaluation summary; the user evaluation summary includes: the user evaluation body and keyword information; A user evaluation information processing module, used to obtain the user evaluation type based on the keyword information, and generate a user evaluation summary based on the user evaluation type and the user evaluation summary; A display module, used to send the user evaluation summary to the merchant end, so as to display the user evaluation summary when displaying user opinions to the merchant; Acquiring the user evaluation type based on the keyword information includes: Vectorize the keyword information to obtain keyword information data; The keyword information data is similarly calculated with the data in the user evaluation type vector library to obtain the user evaluation type.
7. The user evaluation information processing system according to claim 6, characterized in that: The system further comprises: a summarizing module, configured to summarize a plurality of user evaluation summaries associated with the same user evaluation subject in response to a merchant's request to view the user evaluation summary, so as to obtain a summary including user evaluation type, user evaluation type ratio, and user evaluation summaries under the same user evaluation type; and The summary content is returned to the merchant end so that the summary can be displayed when the user evaluation summary is displayed to the merchant.
8. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by an electronic device, the method for processing user evaluation information according to any one of claims 1 to 5 is implemented.
9. An electronic device, characterized in that: including a processor and a memory; The memory is used to store computer programs; The processor is used to execute the computer program stored in the memory, so that the electronic device executes the method for processing user evaluation information according to any one of claims 1 to 5.