Automobile feedback opinion acquisition method, device and equipment and readable storage medium
By analyzing car forum webpages and using text processing models to generate feedback, the problem of user feedback not being able to be directly conveyed was solved, improving the relevance of car R&D and user experience.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-12-16
- Publication Date
- 2026-03-27
AI Technical Summary
During the automotive R&D process, discrepancies exist between users' actual experience with a vehicle's power and economy and simulation analysis results, leading to a disconnect between R&D and actual use. User feedback cannot be directly transmitted to R&D personnel, affecting vehicle optimization and user experience.
By analyzing automotive websites, we identified forum pages for target car models, extracted comment information using preset keywords, generated feedback using a text processing model, and then relayed the feedback to the R&D staff.
It enables the effective acquisition and transmission of user feedback, helping R&D personnel to optimize vehicle design and improve user experience.
Smart Images
Figure CN121750432A_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of data processing technology, and in particular to a method, apparatus, device, and readable storage medium for obtaining automotive feedback. Background Technology
[0002] In the automotive industry, the power and fuel economy of a vehicle are key performance indicators. During the preliminary research and development phase of a vehicle, these performance metrics are primarily derived through simulation analysis of physical models. However, significant differences exist between actual vehicle operating conditions and simulation results, leading to a discrepancy between the vehicle's power and fuel economy in real-world use and the simulation findings.
[0003] There is an information gap between automotive R&D personnel and users. When users actually use a car, the performance of its power and economy cannot be directly fed back to the R&D personnel. This results in a serious disconnect between the R&D of the vehicle's power and economy and real-life usage scenarios, which is not conducive to the optimization of automotive R&D and reduces the user experience of the car. Summary of the Invention
[0004] In view of this, the purpose of this application is to overcome the shortcomings of the prior art and provide a method for obtaining automotive feedback, the method comprising: Analyze automotive websites to identify forum pages corresponding to the target car model; Access the forum webpage, and extract target review information of the target car model from the forum webpage based on preset power-related keywords and economy keywords; The text processing requirements and the target comment information are input into a preset text processing model to obtain feedback information on the target vehicle model, and the feedback information is then fed back to the R&D personnel of the target vehicle model.
[0005] In one embodiment, the step of analyzing automotive websites to determine the forum webpage corresponding to a target car model includes: Analyze automotive websites to determine the target webpages corresponding to the target car models on those websites; Initiate a network request to the target webpage to obtain the source code content of the target webpage; The source code content is traversed based on preset forum webpage identifiers to determine the forum webpage corresponding to the target car model.
[0006] In one embodiment, the step of accessing the forum webpage and extracting target review information of the target car model from the forum webpage based on preset power-related keywords and economy keywords includes: Create a browser instance, and use the browser instance to access the forum webpage and crawl webpage data to obtain the comment information of the target car model; Based on preset power and economy keywords, each comment text in the comment information is traversed to determine the target comment information for the target vehicle model.
[0007] In one embodiment, the step of accessing the forum webpage and crawling webpage data based on the browser instance to obtain the comment information of the target car model includes: Access the forum webpage using the browser instance to locate the comment area within the forum webpage; Web data is crawled from the comment area to obtain comment information for the target car model.
[0008] In one embodiment, the step of crawling web page data from the comment area to obtain comment information of the target car model includes: The web page data of the current page in the comment area is crawled, and the first page height of the current page is obtained; Update the comment area and obtain the second page height of the updated page; If the height of the first page is different from the height of the second page, the updated page is determined as the current page, and the steps of crawling web page data of the current page of the comment area and obtaining the first page height of the current page are performed. If the height of the first page is the same as the height of the second page, then the web page data crawling of the comment area is completed, and the comment information of the target car model is obtained.
[0009] In one embodiment, the step of inputting the text processing requirements and the target review information into a preset text processing model to obtain feedback information on the target vehicle model includes: Iterate through each target comment text in the target comment information, bind each target comment text to the text processing requirement, and generate target input text; The target input text is input into a preset text processing model, and the text processing model processes the target comment text according to the text processing requirements to obtain the feedback information of the target car model.
[0010] In one embodiment, the step of feeding back the feedback information to the R&D personnel of the target vehicle includes: Count the frequency of each type of feedback in the feedback information; The feedback opinions with a frequency greater than a preset threshold are statistically analyzed to obtain the target feedback opinion information; The feedback information will be relayed to the R&D personnel of the target vehicle model.
[0011] This application also provides a vehicle feedback acquisition device, the vehicle feedback acquisition device comprising: The analysis module is used to analyze automotive websites and identify the forum pages corresponding to the target car models. The extraction module is used to access the forum webpage and extract target review information of the target car model from the forum webpage based on preset power keywords and economy keywords; The processing module is used to input the text processing requirements and the target comment information into a preset text processing model, obtain the feedback information of the target vehicle model, and feed the feedback information back to the R&D personnel of the target vehicle model.
[0012] This application also provides a computer device, the computer device including a processor and a memory, the memory storing a computer program, and the processor executing the computer program to implement the above-described method for obtaining vehicle feedback.
[0013] This application also provides a computer-readable storage medium storing a computer program that, when run on a processor, executes the above-described method for obtaining vehicle feedback.
[0014] The embodiments of this application have the following beneficial effects: This application analyzes automotive websites to identify forum pages corresponding to target car models. The forum pages are accessed, and target review information for the target car model is extracted based on preset power and economy keywords. The text processing requirements and the target review information are input into a preset text processing model to obtain feedback information for the target car model. This feedback information is then fed back to the R&D personnel of the target car model. By obtaining feedback information on the power and economy of the target car model from relevant automotive websites, this feedback information can be accessed by R&D personnel, facilitating their optimization of the target car model based on the feedback information and improving the user experience. Attached Figure Description
[0015] To more clearly illustrate the technical solutions of this application, the accompanying drawings used in the embodiments will be briefly described below. It should be understood that the following drawings only show some embodiments of this application and therefore should not be considered as a limitation on the scope of protection of this application. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.
[0016] Figure 1 A flowchart illustrating the first embodiment of the method for obtaining vehicle feedback provided in this application; Figure 2 A flowchart illustrating a second embodiment of the method for obtaining vehicle feedback provided in this application; Figure 3 A flowchart illustrating the third embodiment of the method for obtaining vehicle feedback provided in this application; Figure 4 A flowchart illustrating the fourth embodiment of the method for obtaining vehicle feedback provided in this application; Figure 5 A flowchart illustrating the fifth embodiment of the method for obtaining vehicle feedback provided in this application; Figure 6 A schematic diagram of the vehicle feedback acquisition device provided in this application. Detailed Implementation
[0017] The technical solutions in the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments.
[0018] The components of the embodiments of this application described and illustrated in the accompanying drawings can be arranged and designed in a variety of different configurations. Therefore, the following detailed description of the embodiments of this application provided in the drawings is not intended to limit the scope of the claimed application, but merely to illustrate selected embodiments of the application. All other embodiments obtained by those skilled in the art based on the embodiments of this application without inventive effort are within the scope of protection of this application.
[0019] In the following, the terms “comprising,” “having,” and their cognates, which may be used in various embodiments of this application, are intended only to indicate a particular feature, number, step, operation, element, component, or combination thereof, and should not be construed as excluding, firstly, the presence of one or more other features, numbers, steps, operations, elements, components, or combinations thereof, or adding the possibility of one or more features, numbers, steps, operations, elements, components, or combinations thereof.
[0020] Furthermore, the terms "first," "second," and "third" are used only to distinguish descriptions and should not be interpreted as indicating or implying relative importance.
[0021] Unless otherwise specified, all terms used herein (including technical and scientific terms) shall have the same meaning as commonly understood by one of ordinary skill in the art to which the various embodiments of this application pertain. Terms (such as those defined in commonly used dictionaries) shall be interpreted as having the same meaning as in their contextual meaning in the relevant technical field and shall not be construed as having an idealized or overly formal meaning, unless clearly defined in the various embodiments of this application.
[0022] It is understood that the method of this application is applied to a vehicle feedback acquisition device, which can be a terminal device, a PC device, a smart terminal, etc., and is not limited thereto. For ease of explanation, the following embodiments are described using a vehicle feedback acquisition device as the execution subject.
[0023] The following detailed description of some embodiments of this application is provided in conjunction with the accompanying drawings. Unless otherwise specified, the following embodiments and features can be combined with each other.
[0024] Please refer to Figure 1 , Figure 1 A flowchart illustrating a first embodiment of the method for obtaining vehicle feedback provided in this application, the method comprising: Step S101: Analyze the car website to determine the forum webpage corresponding to the target car model.
[0025] In this embodiment, when the vehicle feedback acquisition device needs to obtain feedback information for a target vehicle model, it accesses and analyzes automotive websites to determine the forum webpage corresponding to the target model. It is understood that the vehicle feedback acquisition device can simultaneously access and analyze one or more automotive websites, acquire various webpages within those websites, parse data from various attributes on each webpage, and identify the forum webpage link corresponding to the target vehicle model.
[0026] It should be noted that automotive websites can be the official website of a car brand, a third-party car review website, a third-party car sales website, etc. These automotive websites have forum pages for users to discuss the target car model; the forum pages are pages where users comment on the target car model, communicate, and share their car-using experiences, and they contain all kinds of comments about the target car model.
[0027] Step S102: Access the forum webpage and extract target review information of the target car model from the forum webpage based on preset power-related keywords and economy-related keywords.
[0028] In this embodiment, after determining the forum webpage link corresponding to the target car model on the automotive website, the vehicle feedback acquisition device accesses the forum webpage through the link, traverses all comment information about the target car model on the forum webpage, and extracts target comment information related to the target car model's power and economy based on preset power and economy keywords. It should be noted that power keywords include terms such as "strong / weak power," "fast / slow acceleration," "push-back feeling," "weak acceleration," "turbo lag," and "responsiveness"; economy keywords include terms such as "fuel-efficient / fuel-intensive," "high / low fuel consumption," "exaggerated range," "high energy consumption," "fuel consumption per 100 kilometers," and "actual range."
[0029] In one embodiment, the vehicle feedback acquisition device can take a screenshot of the comment area about the target vehicle model on a forum webpage, save the screenshot locally, perform text recognition on the screenshot to obtain all comment information about the target vehicle model, and then extract target comment information related to the power and economy of the target vehicle model from all comment information based on preset power and economy keywords.
[0030] In one embodiment, the vehicle feedback acquisition device uses the Selenium automated crawler tool to set character matching rules, create a webpage-driven instance, access the forum webpage of the target vehicle model, crawl all comments about the target vehicle model and save them locally, and then extract target comment information related to the power and economy of the target vehicle model from all the comment information based on preset power and economy keywords.
[0031] Step S103: Input the text processing requirements and the target comment information into a preset text processing model to obtain the feedback information of the target vehicle model, and then feed the feedback information back to the R&D personnel of the target vehicle model.
[0032] In this embodiment, the vehicle feedback acquisition device inputs text processing requirements and target comment information into a preset text processing model. The text processing model then simplifies the target comment information according to the text processing requirements, obtaining feedback information for the target vehicle model. This feedback information is then sent to the R&D personnel of the target vehicle model. The R&D personnel of the target vehicle model can optimize the development process based on this genuine feedback from the user group.
[0033] It should be noted that the text processing requirements were pre-defined and were used to extract the core meanings of long or redundant comments that were directly related to the power and economy of the target vehicle.
[0034] In one embodiment, the step of feeding back the feedback information to the R&D personnel of the target vehicle includes: Step S1031: Count the frequency of each type of feedback in the feedback information.
[0035] In this embodiment, the vehicle feedback acquisition device analyzes the type of each feedback opinion in the feedback information and then counts the frequency of each type of feedback opinion. For example, the types of feedback opinions include poor power performance, average power performance, good power performance, poor fuel economy, average fuel economy, and good fuel economy for the target vehicle model.
[0036] Step S1032: Statistically analyze the feedback opinions whose frequency is greater than a preset threshold to obtain target feedback opinion information.
[0037] In this embodiment, the vehicle feedback acquisition device statistically analyzes feedback opinions with a frequency greater than a preset threshold to obtain target feedback opinion information. It is understood that only feedback opinions with a frequency greater than the preset threshold are representative, representing the feedback opinions of the vast majority of users, while feedback opinions with a frequency less than the preset threshold are not representative and may be malicious comments.
[0038] Step S1033: The target feedback information is fed back to the R&D personnel of the target vehicle model.
[0039] In this embodiment, the vehicle feedback acquisition device feeds back the target feedback information to the R&D personnel of the target vehicle model, enabling the R&D personnel of the target vehicle model to conduct collaborative optimization in the subsequent R&D process based on the target feedback information that is frequently raised by the user group, and further improve the user group's car use experience in real life scenarios.
[0040] This embodiment of the vehicle feedback acquisition device analyzes automotive websites to determine the forum webpages corresponding to the target vehicle model; it accesses the forum webpages and extracts target review information for the target vehicle model based on preset power and economy keywords; it inputs the text processing requirements and the target review information into a preset text processing model to obtain feedback information for the target vehicle model, and then feeds this feedback information back to the R&D personnel of the target vehicle model. This allows for the acquisition of power and economy feedback information for the target vehicle model from relevant automotive websites, enabling R&D personnel to access this feedback information and optimize the development of the target vehicle model based on the feedback, thereby improving the user experience of the target vehicle model.
[0041] Please refer to Figure 2 , Figure 2This is a flowchart illustrating a second embodiment of the method for obtaining automotive feedback provided in this application. The difference between the second embodiment and the first embodiment lies in the step of analyzing automotive websites to determine the forum webpage corresponding to the target vehicle model, which includes: Step S201: Analyze the car website to determine the target webpage corresponding to the target car model on the car website.
[0042] Step S202: Initiate a network request to the target webpage to obtain the source code content of the target webpage.
[0043] Step S203: Traverse the source code content based on preset forum webpage identifiers to determine the forum webpage corresponding to the target vehicle model.
[0044] In this embodiment, the vehicle feedback acquisition device analyzes the vehicle website, determines the target webpage corresponding to the target vehicle model, initiates a network request to the target webpage, obtains the source code content of the target webpage, and traverses the source code content based on preset forum webpage identifiers to determine the forum webpage corresponding to the target vehicle model. The preset forum webpage identifiers include, for example, suggestive words such as "forum," "car owner exchange," "reputation," "discussion area," or "enter community."
[0045] In one embodiment, the vehicle feedback acquisition device analyzes a car website, obtains the webpage link of the vehicle brand corresponding to the target model on the car website, extracts tags of specific attributes under the webpage link of the vehicle brand, obtains the forum webpage link corresponding to the target model, saves the obtained forum webpage link corresponding to the target model to the local machine, and then accesses the forum webpage corresponding to the target model.
[0046] In one embodiment, the vehicle feedback acquisition device identifies the automotive website from which data needs to be collected. This website typically contains display pages for multiple vehicle models and corresponding user forum pages, and is usually an automotive vertical portal or manufacturer's official website. Next, the device analyzes the overall structure of the website to identify the entry page containing the list of all vehicle models. This page is generally a comprehensive vehicle list page, a brand and model category page, or a "Select a Car" section in a navigation menu, characterized by listing all vehicle names and their links. Then, the device initiates a network request to this entry page, downloading its source code. After obtaining the source code, it uses a parsing tool to perform structured analysis, extracting the link to the detail page corresponding to the target vehicle model. Once extracted, the device accesses the link to the detail page corresponding to the target vehicle model to obtain its complete content. After loading the details page of the target vehicle model, the vehicle feedback acquisition device parses the internal structure of the details page to check for the existence of user discussion areas or forum entrances related to the target vehicle model. This type of information usually exists in the form of hyperlinks, and the tag text may be suggestive words such as "forum", "owner exchange", "reputation", "discussion area" or "enter community". The vehicle feedback acquisition device identifies anchor links with such semantic features on the page and uses the class name, ID or path structure of HTML elements (such as XPath or CSS selectors) for precise positioning. Once a link that meets the conditions is found, its complete URL is extracted and saved locally as the forum page link corresponding to the target vehicle model, and then the corresponding forum page of the target vehicle model is accessed.
[0047] In one embodiment, in some cases, the forum page corresponding to the target vehicle model is not directly displayed on the vehicle model's details page, but is dynamically loaded only after clicking a button or expanding a specific module. In this case, the vehicle feedback acquisition device needs to simulate user behavior, such as performing page scrolling, clicking, or waiting for asynchronous JavaScript content to render, to ensure that it can capture hidden or delayed-loaded forum links.
[0048] In one embodiment, for a successfully extracted forum link, the vehicle feedback acquisition device will verify its validity by attempting to initiate a lightweight request to confirm that the link can be accessed normally and that the response status is normal, thus avoiding recording invalid or incorrectly redirected addresses.
[0049] The vehicle feedback acquisition device in this embodiment can analyze automotive websites and quickly determine the forum webpage corresponding to the target vehicle model. This improves the efficiency of acquiring forum webpages corresponding to the target vehicle model, thereby helping to improve the efficiency of obtaining feedback information on the power and fuel economy of the target vehicle model from relevant automotive websites.
[0050] Please refer to Figure 3 , Figure 3 The flowchart illustrates a third embodiment of the method for obtaining automotive feedback provided in this application. The difference between this third embodiment and the first to second embodiments lies in the step of accessing the forum webpage and extracting target review information of the target vehicle model from the forum webpage based on preset power-related keywords and economy keywords. Step S301: Create a browser instance, and access the forum webpage and crawl webpage data based on the browser instance to obtain the comment information of the target car model.
[0051] In this embodiment, after saving the forum page link corresponding to the target model to its local storage, the vehicle feedback acquisition device creates a browser instance and accesses the forum webpage link based on the browser instance. After entering the forum page corresponding to the target model, it crawls the webpage data of the forum page to obtain the comment information of the target model.
[0052] In one embodiment, the step of accessing the forum webpage and crawling webpage data based on the browser instance to obtain the comment information of the target car model includes: Step S3011: Access the forum webpage based on the browser instance and locate the comment area in the forum webpage.
[0053] Step S3012: Crawl web page data in the comment area to obtain comment information for the target car model.
[0054] Step S302: Based on preset power and economy keywords, traverse each comment text in the comment information to determine the target comment information for the target vehicle model.
[0055] In this embodiment, after creating a browser instance, the vehicle feedback acquisition device accesses a forum webpage based on the browser instance and locates the comment area within the forum webpage. Webpage data is crawled from the comment area to obtain comment information for the target vehicle model. Based on preset power-related keywords and economy keywords, each comment text in the comment information is traversed to determine the target comment information for the target vehicle model.
[0056] In one embodiment, the vehicle feedback acquisition device uses the Selenium tool to create a browser instance. This browser instance stores and sets various browser options. It accesses a forum webpage based on this browser instance, waiting for the forum webpage to fully load or reach a specified loading state. Once the forum webpage is loaded, the browser instance uses element location techniques (such as by ID, class name, tag name, or XPath path) to locate the comment areas within the forum webpage. It then crawls the comment areas to obtain comment information for the target vehicle model. Further, the browser instance iterates through each comment, analyzing whether it contains power-related or economy-related keywords. It then extracts the text content of comments containing these keywords and processes the extracted strings according to defined rules to obtain the target comment information for the target vehicle model. Throughout the crawling process, the browser instance remains running, supporting complex interactive actions such as multi-page navigation, click operations, form filling, and scrolling loading, thereby achieving effective data collection from websites with complex structures or strong anti-crawling mechanisms.
[0057] It should be noted that Selenium is an open-source automated testing tool, originally designed for functional testing of web applications, but due to its powerful browser control capabilities, it is also widely used for web data crawling, automated operations, and simulation of complex interactive scenarios.
[0058] The vehicle feedback acquisition device in this embodiment creates a browser instance and accesses forum web pages and crawls web data based on the browser instance to obtain review information of the target vehicle model. It then iterates through each comment text in the review information according to preset power and economy keywords to determine the target review information for the target vehicle model. Automated web data crawling improves the efficiency of obtaining review information on the power and economy of the target vehicle model, thereby helping to improve the efficiency of obtaining feedback information on the power and economy of the target vehicle model from relevant automotive websites.
[0059] Please refer to Figure 4 , Figure 4 This is a flowchart illustrating a fourth embodiment of the method for obtaining automotive feedback provided in this application. The difference between the fourth embodiment and the first to third embodiments is that the step of crawling web page data from the comment area to obtain comment information of the target vehicle model includes: Step S401: Crawl web page data for the current page of the comment area and obtain the first page height of the current page.
[0060] Step S402: Update the comment area and obtain the second page height of the updated page.
[0061] Step S403: If the height of the first page is different from the height of the second page, the updated page is determined as the current page, and the steps of crawling web page data of the current page of the comment area and obtaining the first page height of the current page are performed.
[0062] Step S404: If the height of the first page is the same as the height of the second page, then it is determined that the web page data crawling of the comment area has been completed, and the comment information of the target car model has been obtained.
[0063] In this embodiment, when the vehicle feedback acquisition device crawls web page data from the comment area through a browser instance, many automotive websites use "infinite scrolling" or "lazy loading" technology for their comment areas. That is, the page does not load all comments at once, but only dynamically inserts new comment content when the user scrolls down. Therefore, it is necessary to compare the page height to determine whether to complete the data crawling of all comment information in the comment area.
[0064] Specifically, after crawling data from the current page of the comment area, the vehicle feedback acquisition device obtains the first page height of the current page, simulates a user scrolling down to update the comment area page, and obtains the second page height of the updated page. If the first page height and the second page height are the same, the crawling of web page data for the comment area is considered complete, and the comment information for the target vehicle model is obtained. If the first page height and the second page height are different, it means that new comment content has been dynamically inserted into the updated page. The vehicle feedback acquisition device identifies the updated page as the current page and performs the steps of crawling web page data for the current page of the comment area and obtaining the first page height of the current page. The page update and height comparison operations are repeated until the first page height and the second page height are the same, at which point the crawling of web page data for the comment area is considered complete, and the comment information for the target vehicle model is obtained.
[0065] In this embodiment, the vehicle feedback acquisition device, when crawling web page data in the comment area, automatically flips the page by comparing the height of the preceding and following pages. At the same time, it accurately determines whether the web page data crawling in the comment area is complete, improving the completeness of the extracted comment information and avoiding omissions of comment information.
[0066] Please refer to Figure 5 , Figure 5 This is a flowchart illustrating the fifth embodiment of the method for obtaining vehicle feedback provided in this application. The difference between the fifth embodiment and the first to fourth embodiments is that the step of inputting the text processing requirements and the target comment information into a preset text processing model to obtain the feedback information of the target vehicle model includes: Step S501: Traverse each target comment text in the target comment information, bind each target comment text to the text processing requirement, and generate target input text.
[0067] Step S502: Input the target input text into a preset text processing model, and process the target comment text according to the text processing requirements through the text processing model to obtain the feedback information of the target vehicle model.
[0068] In this embodiment, the vehicle feedback acquisition device traverses each target comment text in the target comment information, binds each target comment text with text processing requirements, generates target input text, inputs the target input text into a preset text processing model, and processes the target comment text according to the text processing requirements through the text processing model to obtain the feedback information of the target vehicle model.
[0069] In one embodiment, the vehicle feedback acquisition device extracts each target comment text from the target comment information and processes them independently. For the target comment text currently being processed, the device concatenates it with a preset text processing requirement. The text processing requirement tells the text processing model the specific task to be performed, such as "Please compress the following comment text into one sentence, retaining its core opinion and sentiment." After concatenation, the target input text is formed, which contains both the processing requirement and the specific user comment content. The target input text is then input into the preset text processing model, which processes the target comment text according to the text processing requirement to obtain the feedback information for the target vehicle model.
[0070] In one embodiment, the text processing model is a large AI model on a remote AI server. Therefore, before officially sending the target input text, the vehicle feedback acquisition device needs to obtain access to the large AI model. To this end, the vehicle feedback acquisition device initiates a POST data interaction request to the authentication server of the large AI model, submitting necessary identity credentials, such as API keys and private keys. The purpose of this request is to obtain a temporary access token. After receiving the POST request, the authentication server verifies the validity of the credentials. If successful, it returns response data containing the access token. This response data is a JSON-formatted string containing an access_token field and other auxiliary information, such as expiration time. After receiving this JSON-formatted response string, the vehicle feedback acquisition device parses it, converting it into a Python data object that can be manipulated internally, usually a dictionary. This conversion process is called deserialization, allowing the program to extract the actual access token value. After extracting a valid access token, the vehicle feedback acquisition device constructs a new POST request targeting the text processing interface of the AI model. In this request, the device uses the previously concatenated target input text as the prompt, along with the access token for authentication, and sets appropriate request headers to ensure the data can be correctly identified and processed. The device then sends this POST request to the remote AI server. The server receives and parses the request content, and activates the AI model to perform semantic understanding and content simplification on the input comment text. After processing, the server encapsulates the generated result in a JSON response message and returns it to the local system. Upon receiving the response, the device parses the JSON string into a Python object, then finds and extracts the key field representing the processing result, typically "result" or a similar name. The corresponding value is the simplified user feedback generated by the AI model. Finally, the device saves this simplified feedback to a specified file. The file may be saved in a structured format, such as CSV or JSON, for subsequent reading and analysis. Each original comment and its corresponding simplified result will be paired and recorded to form a complete output document, which is the feedback information for the target vehicle model.
[0071] The vehicle feedback acquisition device in this embodiment traverses each target comment text in the target comment information, binds each target comment text with text processing requirements, generates target input text, inputs the target input text into a preset text processing model, and processes the target comment text according to the text processing requirements to obtain feedback information for the target vehicle model. This avoids directly feeding back all target comment information for the target vehicle model to the R&D personnel, but instead processes the target comment information into feedback information before feeding it back, improving the readability of the user group's comments on the power and economy of the target vehicle model for the R&D personnel.
[0072] refer to Figure 6 , Figure 6 This is a schematic diagram of the vehicle feedback acquisition device provided in this application. The vehicle feedback acquisition device includes: Analysis module 10 is used to analyze automotive websites and determine the forum webpages corresponding to the target car models.
[0073] The extraction module 20 is used to access the forum webpage and extract target review information of the target car model from the forum webpage based on preset power keywords and economy keywords.
[0074] The processing module 30 is used to input the text processing requirements and the target comment information into a preset text processing model to obtain the feedback information of the target vehicle model, and to feed the feedback information back to the R&D personnel of the target vehicle model.
[0075] It is understood that the vehicle feedback acquisition device in this embodiment corresponds to the vehicle feedback acquisition method in the above embodiment. The options in the above embodiment are also applicable to this embodiment, so they will not be described again here.
[0076] This application also provides a computer device, exemplary of which includes a processor and a memory, wherein the memory stores a computer program, and the processor executes the computer device to perform the above-described method for obtaining vehicle feedback by running the computer program.
[0077] The processor can be an integrated circuit chip with signal processing capabilities. The processor can be a general-purpose processor, including at least one of a Central Processing Unit (CPU), Graphics Processing Unit (GPU), Network Processor (NP), Digital Signal Processor (DSP), Application-Specific Integrated Circuit (ASIC), Field-Programmable Gate Array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components. The general-purpose processor can be a microprocessor or any conventional processor, capable of implementing or executing the methods, steps, and logic block diagrams disclosed in the embodiments of this application.
[0078] The memory can be, but is not limited to, Random Access Memory (RAM), Read Only Memory (ROM), Programmable Read-Only Memory (PROM), Erasable Programmable Read-Only Memory (EPROM), Electrically Erasable Programmable Read-Only Memory (EEPROM), etc. The memory is used to store computer programs, and the processor can execute the computer programs accordingly after receiving execution instructions.
[0079] This application also provides a computer storage medium for storing the computer program used in the aforementioned computer device. The computer storage medium can be a readable storage medium, a non-volatile storage medium, or a volatile storage medium. For example, the computer storage medium may include, but is not limited to, various media capable of storing program code, such as a USB flash drive, a portable hard drive, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk.
[0080] In the several embodiments provided in this application, it should be understood that the disclosed apparatus and methods can also be implemented in other ways. The apparatus embodiments described above are merely illustrative. For example, the flowcharts and block diagrams in the accompanying drawings show the architecture, functionality, and operation of possible implementations of apparatus, methods, and computer program products according to various embodiments of this application. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. It should also be noted that, in alternative implementations, the functions marked in the blocks may occur in a different order than those marked in the drawings. For example, two consecutive blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in the block diagram and / or flowchart, and combinations of blocks in the block diagram and / or flowchart, can be implemented using a dedicated hardware-based system that performs the specified function or action, or using a combination of dedicated hardware and computer instructions.
[0081] In addition, the functional modules or units in the various embodiments of this application can be integrated together to form an independent part, or each module can exist independently, or two or more modules can be integrated to form an independent part.
[0082] If the aforementioned functions are implemented as software functional modules and sold or used as independent products, they can be stored in a readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device to execute all or part of the steps of the methods described in the various embodiments of this application.
[0083] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any changes or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application.
Claims
1. A method for obtaining vehicle feedback, characterized in that, The method includes: Analyze automotive websites to identify forum pages corresponding to the target car model; Access the forum webpage, and extract target review information of the target car model from the forum webpage based on preset power-related keywords and economy keywords; The text processing requirements and the target comment information are input into a preset text processing model to obtain feedback information on the target vehicle model, and the feedback information is then fed back to the R&D personnel of the target vehicle model.
2. The method for obtaining vehicle feedback according to claim 1, characterized in that, The steps of analyzing automotive websites to determine the forum webpages corresponding to the target car model include: Analyze automotive websites to determine the target webpages corresponding to the target car models on those websites; Initiate a network request to the target webpage to obtain the source code content of the target webpage; The source code content is traversed based on preset forum webpage identifiers to determine the forum webpage corresponding to the target car model.
3. The method for obtaining vehicle feedback according to claim 1, characterized in that, The step of accessing the forum webpage and extracting target review information of the target car model from the forum webpage based on preset power-related keywords and economy keywords includes: Create a browser instance, and use the browser instance to access the forum webpage and crawl webpage data to obtain the comment information of the target car model; Based on preset power and economy keywords, each comment text in the comment information is traversed to determine the target comment information for the target vehicle model.
4. The method for obtaining vehicle feedback according to claim 3, characterized in that, The step of accessing the forum webpage and crawling webpage data based on the browser instance to obtain the comment information of the target car model includes: Access the forum webpage using the browser instance to locate the comment area within the forum webpage; Web data is crawled from the comment area to obtain comment information for the target car model.
5. The method for obtaining vehicle feedback according to claim 4, characterized in that, The step of crawling web page data from the comment area to obtain comment information for the target car model includes: The web page data of the current page in the comment area is crawled, and the first page height of the current page is obtained; Update the comment area and obtain the second page height of the updated page; If the height of the first page is different from the height of the second page, the updated page is determined as the current page, and the steps of crawling web page data of the current page of the comment area and obtaining the first page height of the current page are performed. If the height of the first page is the same as the height of the second page, then the web page data crawling of the comment area is completed, and the comment information of the target car model is obtained.
6. The method for obtaining vehicle feedback according to claim 1, characterized in that, The step of inputting the text processing requirements and the target comment information into a preset text processing model to obtain the feedback information of the target vehicle model includes: Iterate through each target comment text in the target comment information, bind each target comment text to the text processing requirement, and generate target input text; The target input text is input into a preset text processing model, and the text processing model processes the target comment text according to the text processing requirements to obtain the feedback information of the target car model.
7. The method for obtaining vehicle feedback according to claim 1, characterized in that, The step of relaying the feedback information to the R&D personnel of the target vehicle includes: Count the frequency of each type of feedback in the feedback information; The feedback opinions with a frequency greater than a preset threshold are statistically analyzed to obtain the target feedback opinion information; The feedback information will be relayed to the R&D personnel of the target vehicle model.
8. A vehicle feedback acquisition device, characterized in that, The vehicle feedback acquisition device includes: The analysis module is used to analyze automotive websites and identify the forum pages corresponding to the target car models. The extraction module is used to access the forum webpage and extract target review information of the target car model from the forum webpage based on preset power keywords and economy keywords; The processing module is used to input the text processing requirements and the target comment information into a preset text processing model, obtain the feedback information of the target vehicle model, and feed the feedback information back to the R&D personnel of the target vehicle model.
9. A computer device, characterized in that, The computer device includes a processor and a memory, the memory storing a computer program, and the processor executing the computer program to implement the vehicle feedback acquisition method according to any one of claims 1-7.
10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when run on a processor, executes the vehicle feedback acquisition method according to any one of claims 1-7.