Evaluation report generation method and device, electronic equipment and storage medium

Abstract

The embodiment of the invention provides an evaluation report generation method and device, electronic equipment and a storage medium, and belongs to the technical field of information processing. The method comprises the following steps: acquiring a plurality of information evaluation items; performing form design on all the information evaluation items to obtain evaluation items; integrating all the evaluation items to generate an evaluation report template; receiving a filling request and filling content sent by a user, and generating a request number; determining a target project identifier, and filling the filling content into the target evaluation project according to the target project identifier; in response to a submission instruction sent by a user, content auditing is performed on the updated evaluation report template based on the request number; when the updated evaluation report template does not pass content auditing, determining failed evaluation items which do not pass content auditing, and generating auditing suggestions; and filling the evaluation report template with the auditing opinions to obtain a feedback evaluation report. The embodiment of the invention can feed back the auditing result of the user in time and ensure the timeliness of evaluation.

Description

Technical Field

[0001] The present application relates to the field of information processing technology, and in particular to an evaluation report generation method, device, electronic device and storage medium. Background Art

[0002] In the current company operations, the diversity of scenarios and assessment items for personal information processing has brought a series of challenges. As people gradually pay more attention to data information, cross-departmental collaboration has become particularly important in personal information protection impact assessments. At present, the company involves many scenarios and assessment items for personal information processing. The assessment process requires cross-departmental teams such as business, technology, and legal affairs to complete together, and the assessment process relies on email and offline communication. However, the delay in email communication and the geographical limitations of offline meetings lead to slow and error-prone information transmission. In addition, the review results cannot be fed back to users in a timely manner during the assessment process, which leads to the loss or delay of key information and decision points due to poor communication. This not only affects the timeliness of the assessment, but also increases the risk of errors. This makes the entire assessment work too inefficient and difficult to promote and track. Summary of the invention

[0003] The main purpose of the embodiments of the present application is to propose an evaluation report generation method, device, electronic device and storage medium, which can promptly feedback the user's review results, ensure the timeliness of the evaluation, and further improve the evaluation efficiency of the entire evaluation work.

[0004] To achieve the above-mentioned purpose, a first aspect of an embodiment of the present application proposes a method for generating an evaluation report, the method comprising:

[0005] Obtain multiple information evaluation items;

[0006] Performing form design for all the information evaluation items to obtain evaluation items corresponding to the information evaluation items, wherein the evaluation items are provided with project identifiers corresponding to the information evaluation items;

[0007] Integrate all the assessment items and generate an assessment report template;

[0008] Receive a filling request and filling content sent by a user, and generate a request number corresponding to the filling request;

[0009] Determine the target project identifier corresponding to the filled content, and fill the filled content into the target assessment project according to the target project identifier to update the assessment report template;

[0010] In response to the submission instruction sent by the user, performing a content review on the updated assessment report template based on the request number;

[0011] When the updated assessment report template fails to pass the content review, the failed assessment items that failed the content review are determined, and a review opinion corresponding to the failed assessment items is generated;

[0012] Fill the review opinions into the evaluation report template to obtain a feedback evaluation report.

[0013] In some embodiments, the step of performing form design on all the information evaluation items to obtain evaluation items corresponding to the information evaluation items includes:

[0014] Performing attribute detection on all the information evaluation items to determine the evaluation information attributes corresponding to the information evaluation items;

[0015] Determining a filling content attribute and a filling method attribute of the information evaluation item according to the evaluation information attribute, wherein the filling content attribute is an attribute characterizing a processing scenario and a data scale of the information evaluation item, and the filling method attribute is an attribute characterizing an interactive method of the information evaluation item;

[0016] An evaluation item corresponding to the information evaluation item is generated according to the filled content attribute and the filled mode attribute.

[0017] In some embodiments, the step of integrating all the assessment items to generate an assessment report template includes:

[0018] For each of the evaluation items, semantic recognition is performed on the evaluation item according to the filled-in content attributes to determine evaluation semantic information corresponding to the evaluation item;

[0019] Performing information association detection on the evaluation items based on the evaluation semantic information to determine a plurality of associated evaluation items;

[0020] Binding information of the plurality of related evaluation items to obtain a related item group;

[0021] Calculate the importance of the evaluation items according to the preset importance index to obtain an importance score;

[0022] Sorting the assessment items and the associated item groups according to the importance scores to obtain an importance sequence;

[0023] The assessment items and the associated item groups are numbered based on the importance sequence to generate an assessment report template.

[0024] In some embodiments, the performing content review on the updated assessment report template based on the request number includes:

[0025] Obtain the template number and report content of the updated assessment report template;

[0026] When the template number is consistent with the request number, a security review is performed on the report content;

[0027] When the report content passes the security review, a normative review of the report content will be conducted according to preset system requirements.

[0028] In some embodiments, the performing a security review on the report content includes:

[0029] Performing semantic segmentation on the report content to obtain multiple semantic segments;

[0030] For each of the semantic segments, identifying sensitive data of the semantic segment and performing encryption check on the semantic segment;

[0031] The report content is reviewed in accordance with the preset system requirements, including:

[0032] Determine authorization requirements and legal and regulatory requirements based on preset system requirements;

[0033] Conduct a normative review of the report content in accordance with the authorization requirements and the legal and regulatory requirements.

[0034] In some embodiments, calculating the importance of the assessment items and the associated item groups according to a preset importance index to obtain an importance score includes:

[0035] Acquire all target related evaluation items in the related item group;

[0036] For each of the evaluation items, scoring the evaluation item according to a preset importance index to obtain a first importance score;

[0037] For each of the target association evaluation items, scoring the target association evaluation item according to a preset importance index to obtain a second importance score;

[0038] averaging all the second importance scores to obtain an important average score;

[0039] The first importance score is determined as the importance score of the evaluation item, and the importance average score is determined as the importance score of the associated item group.

[0040] In some embodiments, after filling the review opinion into the evaluation report template to obtain the feedback evaluation report, the method further includes:

[0041] Displaying the feedback evaluation report to the user;

[0042] In response to a modification instruction of a user, determining a modification content corresponding to the modification instruction;

[0043] Replace the content in the failed evaluation item according to the modified content, and update the feedback evaluation report according to the replaced failed evaluation item to generate a target evaluation report;

[0044] In response to a user's submission instruction, performing a content review on the target assessment report;

[0045] When the target assessment report passes the content review, a prompt message is generated.

[0046] To achieve the above-mentioned purpose, a second aspect of an embodiment of the present application provides an evaluation report generating device, the device comprising:

[0047] A data acquisition module, used to acquire multiple information evaluation items;

[0048] A form design module, used for performing form design on all the information evaluation items to obtain evaluation items corresponding to the information evaluation items, wherein the evaluation items are provided with project identifiers corresponding to the information evaluation items;

[0049] A project integration module, used to integrate all the evaluation projects and generate an evaluation report template;

[0050] A number generation module is used to receive a filling request and filling content sent by a user, and generate a request number corresponding to the filling request;

[0051] A template updating module, used to determine a target project identifier corresponding to the filled-in content, and fill the filled-in content into a target assessment project according to the target project identifier to update the assessment report template;

[0052] A content review module, configured to perform content review on the updated evaluation report template based on the request number in response to a submission instruction sent by a user;

[0053] An opinion generating module, used for determining failed evaluation items that failed the content review when the updated evaluation report template fails the content review, and generating an audit opinion corresponding to the failed evaluation items;

[0054] The feedback generation module is used to fill the review opinions into the evaluation report template to obtain a feedback evaluation report.

[0055] To achieve the above-mentioned purpose, the third aspect of an embodiment of the present application proposes an electronic device, an electronic device comprising a memory and a processor, the memory storing a computer program, and the processor implementing the evaluation report generation method as described in the first aspect when executing the computer program.

[0056] To achieve the above-mentioned purpose, the fourth aspect of an embodiment of the present application proposes a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, it implements the evaluation report generation method as described in the first aspect.

[0057] The evaluation report generation method, device, electronic device and storage medium proposed in the present application first obtain multiple information evaluation items, and design a form for all information evaluation items. Through the form design, the evaluation process can be standardized to obtain evaluation items corresponding to the information evaluation items, ensuring that each information evaluation item can be filled in and submitted in accordance with its corresponding format and requirements, reducing differences and arbitrariness, and each evaluation item is provided with a project identifier corresponding to the information evaluation item, and then all evaluation items are integrated to generate an evaluation report template, which can integrate all evaluation items into an evaluation report template for display, so that the items that need to be filled in can be set in advance. template, and then receive the filling request and filling content sent by the user, that is, the content entered by the user, and generate a request number corresponding to the filling request, so as to facilitate the subsequent search for the already filled evaluation report template. When the updated evaluation report template fails the content review, the failed evaluation items that failed the content review are determined, and the review opinions corresponding to the failed evaluation items are generated, so that the subsequent users can modify the information according to the review opinions, which can ensure the timeliness of the evaluation, fill the review opinions into the evaluation report template, and obtain the feedback evaluation report, so as to timely feedback the user's review results, realize the transparency of the process, and improve the evaluation efficiency of the entire evaluation work. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] Figure 1 is a flow chart of the evaluation report generation method provided in an embodiment of the present application;

[0059] Figure 2 yes Figure 1 Flow chart of step S102 in FIG.

[0060] Figure 3 yes Figure 1 Flow chart of step S103 in FIG.

[0061] Figure 4 It is a specific flow chart of performing content review on an updated evaluation report template based on a request number provided in an embodiment of the present application;

[0062] Figure 5 It is a specific flow chart of security review of report content provided by the embodiment of the present application;

[0063] Figure 6It is a specific flow chart for conducting a normative review of the report content according to the preset system requirements provided in the embodiment of the present application;

[0064] Figure 7 yes Figure 3 Flow chart of step S304 in FIG.

[0065] Figure 8 is a specific flow chart of a method for generating an evaluation report provided in another embodiment of the present application;

[0066] Fig. 9 It is a structural schematic diagram of an evaluation report generating device provided in an embodiment of the present application;

[0067] Fig.10 It is a schematic diagram of the hardware structure of the electronic device provided in the embodiment of the present application. DETAILED DESCRIPTION

[0068] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0069] It should be noted that, although the functional modules are divided in the device schematic diagram and the logical order is shown in the flowchart, in some cases, the steps shown or described may be performed in a different order than the module division in the device or the order in the flowchart. The terms "first", "second", etc. in the specification, claims and the above drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence.

[0070] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art to which this application belongs. The terms used herein are only for the purpose of describing the embodiments of this application and are not intended to limit this application.

[0071] First, some nouns involved in this application are analyzed:

[0072] Natural Language Processing (NLP): NLP uses computers to process, understand, and apply human languages ​​(such as Chinese and English). NLP is a branch of artificial intelligence and an interdisciplinary subject between computer science and linguistics. It is often referred to as computational linguistics. Natural language processing includes grammatical analysis, semantic analysis, and text understanding. Natural language processing is often used in technical fields such as machine translation, handwritten and printed character recognition, speech recognition and text-to-speech conversion, information intent recognition, information extraction and filtering, text classification and clustering, public opinion analysis, and opinion mining. It involves data mining related to language processing, machine learning, knowledge acquisition, knowledge engineering, artificial intelligence research, and linguistic research related to language computing.

[0073] Frequent Pattern Growth (FP-Growth): FP-Growth is an algorithm for discovering frequent itemsets in data. It stores the itemset information in the data set by building a compact data structure. FP-Growth reduces the number of scans of the database and does not generate a large number of candidate frequent itemsets, thereby improving efficiency. Its core idea is to utilize the co-occurrence information of itemsets in the transaction data set and mine frequent itemsets by recursively building a conditional FP tree.

[0074] Association rule mining algorithm (Apriori Algorithm, Aprili): is the first association rule mining algorithm and the most classic algorithm. It uses a layer-by-layer search iterative method to find the relationship between item sets in the database to form rules. Its process consists of connection (matrix-like operation) and pruning (removing unnecessary intermediate results).

[0075] Bidirectional Encoder Representations from Transformers (BERT): BERT is a pre-trained language model that learns deep representations of language by pre-training on large amounts of text data, which can then be fine-tuned for specific natural language processing tasks. The core of the BERT model is the Transformer encoder structure, which uses a self-attention mechanism to capture long-range dependencies in text. BERT is characterized by its ability to generate rich context-dependent word embeddings, which is of great significance for understanding the complexity and diversity of language.

[0076] Long Short-Term Memory (LSTM): LSTM is a special recurrent neural network (RNN) architecture that can learn long-term dependency information. LSTM solves the gradient vanishing or gradient exploding problem of traditional RNN when processing long sequence data by introducing input gate, forget gate and output gate.

[0077] Based on this, the embodiments of the present application provide an evaluation report generation method and device, an electronic device and a storage medium, which can promptly feedback the user's review results, ensure the timeliness of the evaluation, and further improve the evaluation efficiency of the entire evaluation work.

[0078] The evaluation report generation method and device, electronic device and storage medium provided in the embodiments of the present application are specifically described through the following embodiments. First, the evaluation report generation method in the embodiments of the present application is described.

[0079] The embodiments of the present application can acquire and process relevant data based on artificial intelligence technology. Artificial Intelligence (AI) is the theory, method, technology and application system that uses digital computers or machines controlled by digital computers to simulate, extend and expand human intelligence, perceive the environment, acquire knowledge and use knowledge to obtain the best results.

[0080] The basic technologies of artificial intelligence generally include sensors, dedicated artificial intelligence chips, cloud computing, distributed storage, big data processing technology, operation / interaction systems, mechatronics, etc. Artificial intelligence software technologies mainly include computer vision technology, robotics technology, biometrics technology, module management technology of online meeting systems, natural language processing technology, and machine learning / deep learning.

[0081] The evaluation report generation method provided in the embodiment of the present application relates to the field of data processing technology. The evaluation report generation method provided in the embodiment of the present application can be applied to a terminal, can also be applied to a server side, and can also be software running in a terminal or a server side. In some embodiments, the terminal can be a smart phone, a tablet computer, a laptop computer, a desktop computer, etc.; the server side can be configured as an independent physical server, or can be configured as a server cluster or a distributed system composed of multiple physical servers, and can also be configured to provide cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, CDN, and big data and artificial intelligence platforms and other basic cloud computing services. Cloud servers; software can be applications that implement evaluation report generation methods, etc., but are not limited to the above forms.

[0082] The present application can be used in many general or special computer system environments or configurations. For example: personal computers, server computers, handheld or portable devices, tablet devices, multiprocessor systems, microprocessor-based systems, set-top boxes, programmable consumer electronics, network PCs, minicomputers, mainframe computers, distributed computing environments including any of the above systems or devices, etc. The present application can be described in the general context of computer-executable instructions executed by a computer, such as program modules. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform specific tasks or implement specific abstract data types. The present application can also be practiced in distributed computing environments, in which tasks are performed by remote processing devices connected through a communication network. In a distributed computing environment, program modules can be located in local and remote computer storage media including storage devices.

[0083] It should be noted that in each specific implementation of the present application, when it comes to the need to perform relevant processing based on data related to user identity or characteristics such as user information, user behavior data, user historical data, and user location information, the user's permission or consent will be obtained first, and the collection, use, and processing of these data will comply with the relevant laws, regulations, and standards of the relevant countries and regions. In addition, when the embodiment of the present application needs to obtain the user's sensitive personal information, the user's separate permission or consent will be obtained through a pop-up window or by jumping to a confirmation page. After clearly obtaining the user's separate permission or consent, the necessary user-related data for the normal operation of the embodiment of the present application will be obtained.

[0084] In the current company operations, the diversity of scenarios and assessment items for personal information processing has brought a series of challenges. As people gradually pay more attention to data information, cross-departmental collaboration has become particularly important in personal information protection impact assessments. At present, the company involves many scenarios and assessment items for personal information processing. The assessment process requires cross-departmental teams such as business, technology, and legal affairs to complete together, and the assessment process relies on email and offline communication. However, the delay in email communication and the geographical limitations of offline meetings lead to slow and error-prone information transmission. In addition, the review results cannot be fed back to users in a timely manner during the assessment process, which leads to the loss or delay of key information and decision points due to poor communication. This not only affects the timeliness of the assessment, but also increases the risk of errors. This makes the entire assessment work too inefficient and difficult to promote and track.

[0085] In order to solve the above problems, the present embodiment provides an evaluation report generation method, device, electronic device and storage medium. First, multiple information evaluation items are obtained, and a form is designed for all information evaluation items. The evaluation process can be standardized through the form design to obtain evaluation items corresponding to the information evaluation items, ensuring that each information evaluation item can be filled in and submitted according to its corresponding format and requirements, reducing differences and arbitrariness, and each evaluation item is provided with a project identifier corresponding to the information evaluation item, and then all evaluation items are integrated to generate an evaluation report template, which can integrate all evaluation items into an evaluation report template for display, so that it can be set in advance. The template that needs to be filled in is prepared, and then the filling request and filling content sent by the user, that is, the content entered by the user, are received, and a request number corresponding to the filling request is generated, so as to facilitate the subsequent search for the already filled in evaluation report template. When the updated evaluation report template fails the content review, the failed evaluation items that failed the content review are determined, and the audit opinions corresponding to the failed evaluation items are generated, so that the subsequent users can modify the information according to the audit opinions, which can ensure the timeliness of the evaluation, fill the audit opinions into the evaluation report template, and obtain the feedback evaluation report, so as to timely feedback the user's audit results, realize the transparency of the process, and improve the evaluation efficiency of the entire evaluation work.

[0086] The following is a detailed description with reference to the accompanying drawings.

[0087] Figure 1 is an optional flowchart of the evaluation report generation method provided in the embodiment of the present application. Figure 1 The method may include but is not limited to steps S101 to S108.

[0088] Step S101, obtaining multiple information evaluation items.

[0089] In step S101 of some embodiments, multiple information evaluation items are obtained, that is, evaluation items that need to be collected or filled in.

[0090] Step S102, designing a form for all information evaluation items to obtain evaluation items corresponding to the information evaluation items, wherein the evaluation items are provided with project identifiers corresponding to the information evaluation items.

[0091] In step S102 of some embodiments, a form is designed for all information evaluation items to obtain evaluation items corresponding to the information evaluation items, so that the filling method of the information evaluation items can be personalized with different filling content attributes and filling method attributes. Clear instructions and appropriate question type design can enhance the user experience of filling in the evaluation items, is suitable for a variety of application scenarios, and can reduce manual operations and improve the efficiency of the entire evaluation process.

[0092] Step S103: Integrate all evaluation items and generate an evaluation report template.

[0093] In step S103 of some embodiments, all evaluation items are integrated to generate an evaluation report template to reduce errors that may occur when manually writing reports, such as inconsistent layout, missing information or format errors, thereby ensuring that all important information is included in the report and avoiding omission of key evaluation items.

[0094] Step S104, receiving the filling request and filling content sent by the user, and generating a request number corresponding to the filling request.

[0095] In step S104 of some embodiments, a filling request and filling content sent by a user are received, and a request number corresponding to the filling request is generated to identify the evaluation report template, thereby facilitating subsequent determination of the evaluation report template.

[0096] It should be noted that the user in the embodiment of the present application can send a filling request by clicking the relevant control, and enter the filling content in the corresponding position of the evaluation report template. When the evaluation report template is a multiple-choice question, the filling content is the relevant option clicked by the user; when the evaluation report template is a fill-in-the-blank question, the filling content is the content filled in by the user in the designated area. The embodiment of the present application does not make specific restrictions.

[0097] Step S105, determining the target project identifier corresponding to the filled-in content, and filling the filled-in content into the target assessment project according to the target project identifier to update the assessment report template.

[0098] In step S105 of some embodiments, the target project identifier corresponding to the filled-in content is determined, and the filled-in content is filled into the target assessment project according to the target project identifier to update the assessment report template, ensuring that all filled-in content corresponds to the correct project identifier, reducing errors and misunderstandings, and improving data accuracy. Accurate data filling can improve the quality of the assessment report.

[0099] Step S106, in response to the submission instruction sent by the user, the updated evaluation report template is reviewed for content based on the request number.

[0100] In step S106 of some embodiments, in response to a submission instruction sent by the user, a content review of the updated assessment report template is performed based on the request number, thereby being able to identify and prevent potential security risks in advance, prevent data from being abused or improperly leaked, and ensure that the report content complies with the requirements of relevant laws and regulations, thereby avoiding legal liability and economic losses caused by illegal content.

[0101] It should be noted that the user in the embodiment of the present application can submit the updated evaluation report template by clicking the relevant control.

[0102] Step S107, when the updated assessment report template fails the content review, the failed assessment items that failed the content review are determined, and review opinions corresponding to the failed assessment items are generated.

[0103] In step S107 of some embodiments, when the updated assessment report template fails to pass the content review, it means that the updated assessment report template may not have passed the security review or the regulatory review. The embodiment of the present application needs to determine the failed assessment items that have failed the content review, and generate review opinions corresponding to the failed assessment items, so as to facilitate users to determine the failed assessment items that have failed the content review and improve the assessment efficiency.

[0104] In some embodiments, when the updated evaluation report template passes the content review, a prompt message is directly generated to prompt the user that the updated evaluation report template has passed the content review and that the next step can be performed, thereby improving the evaluation efficiency of the entire evaluation work.

[0105] Step S108, fill the review comments into the evaluation report template to obtain a feedback evaluation report.

[0106] In step S108 of some embodiments, the review opinions are filled into the evaluation report template to obtain a feedback evaluation report, which can promptly feedback the user's review results, ensure the timeliness of the evaluation, and further improve the evaluation efficiency of the entire evaluation work.

[0107] See also Figure 2 In some embodiments, step S102 may also include but is not limited to steps S201 to S203.

[0108] Step S201: perform attribute detection on all information evaluation items to determine evaluation information attributes corresponding to the information evaluation items.

[0109] Step S202: determining the filling content attribute and the filling method attribute of the information evaluation item according to the evaluation information attribute.

[0110] It should be noted that the filling content attribute is an attribute that characterizes the processing scenario and data scale of the information evaluation item, and the filling method attribute is an attribute that characterizes the interaction method of the information evaluation item.

[0111] Step S203: generating evaluation items corresponding to the information evaluation items according to the filled-in content attributes and the filled-in method attributes.

[0112] In steps S201 to S203 of some embodiments, in the process of designing the form for all information evaluation items, the embodiments of the present application first perform attribute detection on all information evaluation items to determine the evaluation information attributes corresponding to the information evaluation items. By clarifying the attributes of each evaluation item, it is possible to ensure that the collected data meets the evaluation requirements and reduce data errors caused by misunderstandings or omissions. The filling content attributes and filling method attributes of the information evaluation items are then determined based on the evaluation information attributes, so that the processing scenarios and data scales of the information evaluation items can be determined, and the answering methods of the information evaluation items can be determined, so that the filling difficulty can be reduced and the filling efficiency and experience can be improved. Finally, evaluation items corresponding to the information evaluation items are generated based on the filling content attributes and filling method attributes, so that the filling methods of the information evaluation items can be personalized according to different filling content attributes and filling method attributes. Clear instructions and appropriate question type design can enhance the user experience of filling in evaluation items, are suitable for a variety of application scenarios, and can reduce manual operations and improve the efficiency of the entire evaluation process.

[0113] It should be noted that the processing scenarios in the embodiments of the present application include but are not limited to financial scenarios, medical scenarios, teaching scenarios, etc. The data scale is the scale of information that needs to be processed, for example, the number of set questions and answers, the number of set multiple-choice questions, etc. The filling method attributes include but are not limited to multiple-choice questions, fill-in-the-blank questions, answer questions and other interactive methods, which are not specifically limited in the embodiments of the present application.

[0114] See also Figure 3 In some embodiments, step S103 may also include but is not limited to steps S301 to S306.

[0115] Step S301 : for each evaluation item, semantic recognition is performed on the evaluation item according to the filled-in content attributes to determine the evaluation semantic information corresponding to the evaluation item.

[0116] In step S301 of some embodiments, in the process of integrating all evaluation items and generating an evaluation report template, for each evaluation item, semantic recognition is performed on the evaluation item according to the attributes of the filled-in content. Specifically, the present application first performs data cleaning on the original text data of the evaluation item, removes irrelevant characters, punctuation marks, stop words, and performs operations such as stem extraction or word form restoration, and then decomposes the text into separate vocabulary units, and identifies the part of speech of each word, such as noun and verb. Then, specific entities in the text, such as names of people, places, organization names, etc., are identified to determine the evaluation semantic information corresponding to the evaluation item. Through semantic recognition, the content and context of the evaluation item can be accurately determined, thereby improving the accuracy of the evaluation.

[0117] Step S302: performing information association detection on the evaluation items based on the evaluation semantic information to determine a plurality of associated evaluation items.

[0118] In step S302 of some embodiments, after determining the evaluation semantic information of each evaluation item, since there may be interrelated evaluation items, for example, question one is whether there is a spouse, and question two is the name of the spouse; question one is whether insurance has ever been purchased, and question two is the name of the purchased insurance, etc., the embodiments of the present application need to perform information association detection. Specifically, the embodiments of the present application analyze the dependency relationship between words in a sentence, construct the syntactic structure of the sentence, identify the predicates and their related arguments in the sentence, and mark their functions in the sentence, and then use data mining technology, such as the April algorithm, the FP-Growth algorithm, etc., to discover the association rules between the data, so as to effectively evaluate the validity of the mined association rules and determine multiple related evaluation items. Automated association detection can improve analysis efficiency and reduce manual operations.

[0119] It should be noted that after determining multiple associated evaluation items, the embodiment of the present application can measure the association of the associated evaluation items through two indicators, support and confidence. Specifically, the first item set and the second item set are set, and then the first frequency of the first item set appearing in the associated evaluation items and the second frequency of the second item set appearing in the associated evaluation items are calculated. After that, the confidence is calculated according to the first frequency and the second frequency table to obtain the confidence value. Finally, the validity of the rule is judged according to the calculated support and confidence. Generally speaking, the higher the support, the higher the confidence, and the stronger the validity of the rule.

[0120] Step S303: Bind information of multiple related evaluation projects to obtain a related project group.

[0121] In step S303 of some embodiments, information binding is performed on multiple related evaluation items so that the related evaluation items can appear together to obtain a related item group, thereby achieving binding of the related evaluation items and providing support for subsequent data analysis and decision-making.

[0122] Step S304, calculating the importance of the evaluation items according to the preset importance index to obtain an importance score.

[0123] In step S304 of some embodiments, the importance of the assessment items is calculated according to a preset importance index. Specifically, keywords in the assessment items are extracted, and similarity is calculated between the keywords and the keywords in the importance index to obtain importance scores corresponding to the assessment items. By identifying and prioritizing the collection of more important items, risks can be reasonably controlled and managed, work efficiency can be improved, and key tasks can be ensured to be completed on time.

[0124] It should be noted that the importance index in the embodiments of the present application is set according to the needs of the user. For example, in a financial scenario, the user sets the importance index to personal information, intended insurance products, personal preferences, etc. In an employee information collection scenario, the user sets the importance index to be the assessment object information, department information, organization size information, etc., and the embodiments of the present application do not make specific restrictions.

[0125] Step S305: sort the evaluation items and the associated item groups according to the importance scores to obtain an importance sequence.

[0126] In step S305 of some embodiments, the assessment items and associated project groups are sorted according to their importance scores. For example, the assessment items are sorted in ascending or descending order according to their importance scores to obtain an importance sequence. The importance sequence can be used to clarify the priority of the projects, ensuring that the most important projects receive attention and resources first, and can provide intuitive decision support to help users understand the relative importance of each project.

[0127] It should be noted that the embodiment of the present application can sort the evaluation items in ascending or descending order according to the importance scores. Specifically, the embodiment of the present application sorts the evaluation items in descending order according to the importance scores, that is, the importance score of each evaluation item gradually decreases.

[0128] Step S306: number the assessment projects and associated project groups based on the importance sequence, and generate an assessment report template.

[0129] In step S306 of some embodiments, the assessment items and associated project groups are numbered in order of importance to achieve ordered numbering of the assessment items and associated project groups, generate an assessment report template, and reduce errors that may occur when manually writing reports, such as inconsistent layout, missing information, or format errors, thereby ensuring that all important information is included in the report and avoiding omission of key assessment items.

[0130] See also Figure 4 , Figure 4 This is a specific flow chart of content review of the updated evaluation report template based on the request number provided in the embodiment of the present application. In some embodiments, the method includes but is not limited to steps S401 to S403.

[0131] Step S401, obtaining the template number and report content of the updated evaluation report template.

[0132] Step S402: When the template number is consistent with the request number, a security review is performed on the report content.

[0133] Step S403: When the report content passes the security review, the report content is subject to a normative review according to preset system requirements.

[0134] In steps S401 to S403 of some embodiments, in the process of conducting content review of the updated assessment report template based on the request number, the embodiment of the present application first obtains the template number of the updated assessment report template and the report content after filling in the assessment report template, and then compares the template number with the request number to determine whether the assessment report template corresponding to the request number is being reviewed. When the template number is consistent with the request number, a security review is conducted on the report content to determine whether there is sensitive information in the report content, whether encryption is performed, etc., so as to identify and prevent potential security risks in advance and prevent data from being abused or improperly leaked. When the report content passes the security review, a normative review of the report content is conducted according to the preset system requirements to ensure that the report content complies with the requirements of relevant laws and regulations and to avoid legal liability and economic losses caused by illegal content.

[0135] In some embodiments, when the report content fails the security review, the assessment items that failed the security review will be determined, and audit opinions corresponding to the assessment items will be generated. The audit opinions will then be filled into the assessment report template and fed back to the user for modification. The user's audit results can be fed back in a timely manner to ensure the timeliness of the assessment.

[0136] It should be noted that system requirements can be set according to user needs, for example, whether the collection of personal information is authorized by the user, whether a data processing agreement is signed for data interaction, etc.

[0137] See also Figure 5 , Figure 5 It is a specific flow chart of security audit of report content provided by the embodiment of the present application. In some embodiments, the method includes but is not limited to steps S501 to S502.

[0138] Step S501: semantically segment the report content to obtain multiple semantic segments.

[0139] Step S502: for each semantic segment, identify sensitive data of the semantic segment and perform encryption check on the semantic segment.

[0140] In steps S501 to S502 of some embodiments, during the process of performing a security review of the report content, the embodiments of the present application first perform semantic segmentation on the report content. Specifically, the embodiments of the present application first clean the report content, including removing irrelevant characters, punctuation marks, stop words, etc., and performing stem extraction or word form restoration, decomposing the text into separate vocabulary units, and identifying the part of speech of each word, such as noun, verb, etc., and then identifying specific entities in the text, such as names, places, organization names, etc., and then using deep learning models, such as BERT, LSTM, etc., to extract semantic features of the text to obtain multiple semantic fragments, which can extract more accurate data from the report content, conduct in-depth analysis and mining, and improve the accuracy of data processing. For each semantic fragment, sensitive data of the semantic fragment is identified, and the semantic fragment is encrypted and checked, so that sensitive data can be discovered and protected in a timely manner, the risk of data leakage is reduced, and data management efficiency is improved by identifying and encrypting sensitive data, ensuring data security and compliance.

[0141] It should be noted that in the process of identifying sensitive data in semantic fragments and performing encryption checks on the semantic fragments, the embodiments of the present application first use machine learning or deep learning models, combined with predefined rules and patterns, to identify sensitive data in the text, and then perform encryption checks on the identified sensitive data to ensure that the sensitive information has been properly encrypted to prevent data leakage.

[0142] It is understandable that the predefined rules and patterns are patterns of rules set by the user according to different sensitive words. After the semantic fragments are encrypted, the embodiment of the present application also verifies the results of the identification and encryption checks to ensure that the sensitive data is accurately identified and the encryption measures are effective, thereby improving the security of the data.

[0143] See also Figure 6 , Figure 6 It is a specific flow chart for conducting normative review of report content according to preset system requirements provided in the embodiment of the present application. In some embodiments, the method includes but is not limited to steps S601 to S602.

[0144] Step S601, determining authorization requirements and legal and regulatory requirements according to preset system requirements.

[0145] Step S602: Conduct a normative review of the report content according to authorization requirements and legal and regulatory requirements.

[0146] In steps S601 to S602 of some embodiments, in the process of performing a normative review of the report content according to preset system requirements, the embodiments of the present application first determine the authorization requirements and legal and regulatory requirements according to the preset system requirements. For example, the authorization requirement is that the user needs to confirm that authorization has been obtained, and the legal and regulatory requirements are that the user has signed a data processing agreement. Then, the report content is normatively reviewed according to the authorization requirements and legal and regulatory requirements, thereby facilitating decision makers to make decisions based on accurate and reliable information and ensuring data security and privacy protection.

[0147] See also Figure 7 In some embodiments, step S304 may also include but is not limited to steps S701 to S705.

[0148] Step S701: Acquire all target related evaluation items in the related item group.

[0149] Step S702: For each evaluation item, score the evaluation item according to a preset importance index to obtain a first importance score.

[0150] Step S703: For each target association evaluation item, score the target association evaluation item according to a preset importance index to obtain a second importance score.

[0151] Step S704: averaging all second importance scores to obtain an important average score.

[0152] Step S705: determine the first importance score as the importance score of the evaluation item, and determine the importance average score as the importance score of the associated item group.

[0153] In steps S701 to S705 of some embodiments, in the process of calculating the importance of the evaluation project according to the preset importance index, the embodiment of the present application first obtains all target-related evaluation projects in the associated project group. For each evaluation project, the embodiment of the present application can directly score the evaluation project according to the preset importance index. Specifically, the keywords in the evaluation project are extracted, and the keywords are similarly calculated with the keywords in the importance index to obtain the first important score. Since the associated project group includes multiple associated evaluation projects, for each target associated evaluation project, the embodiment of the present application scores the target associated evaluation project according to the preset importance index, and obtains the second important score of each target associated evaluation project respectively, and then averages all the second important scores, so as to obtain the important average score reflecting the importance of the associated project group. Finally, the first important score is determined as the important score of the evaluation project, and the important average score is determined as the important score of the associated project group. By identifying and preferentially collecting more important projects, it is possible to reasonably control and manage risks, improve work efficiency, and ensure that key tasks are completed on time.

[0154] See also Figure 8 , Figure 8 It is a specific flow chart of the evaluation report generation method provided by another embodiment of the present application. In some embodiments, the method includes but is not limited to steps S801 to S805.

[0155] It should be noted that steps S801 to S805 occur after the review opinions are filled into the evaluation report template and the feedback evaluation report is obtained.

[0156] Step S801: display the feedback evaluation report to the user.

[0157] Step S802: In response to a modification instruction from the user, determining the modification content corresponding to the modification instruction.

[0158] Step S803: replace the content in the failed evaluation item according to the modified content, and update the feedback evaluation report according to the replaced failed evaluation item to generate a target evaluation report.

[0159] Step S804, in response to the user's submission instruction, conduct a content review on the target assessment report.

[0160] Step S805: When the target evaluation report passes the content review, a prompt message is generated.

[0161] In steps S801 to S805 of some embodiments, after the review opinions are filled into the evaluation report template and the feedback evaluation report is obtained, the embodiment of the present application will display the feedback evaluation report to the user. After receiving the feedback evaluation report, the user will modify it according to the review opinions, respond to the user's modification instructions, determine the modification content corresponding to the modification instructions, and then determine the failed evaluation items corresponding to the modification content, replace the content in the failed evaluation items according to the modified content, thereby covering the content in the failed evaluation items, and update the feedback evaluation report according to the replaced failed evaluation items to generate a target evaluation report, thereby achieving real-time updating of the target evaluation report. After the target evaluation report is generated, the user can submit the target evaluation report through the submission control. At this time, in response to the user's submission instruction, the target evaluation report is content-reviewed, that is, step S106 is repeated. When the target evaluation report passes the content review, a prompt message is generated to prompt the user that the content review of the target evaluation report has been completed, and the target evaluation report has passed the review, and the user's review results can be fed back in time to ensure the timeliness of the evaluation, thereby further improving the evaluation efficiency of the entire evaluation work.

[0162] See also Fig. 9 The embodiment of the present application also provides an evaluation report generating device, the device comprising:

[0163] A data acquisition module 901 is used to acquire multiple information evaluation items;

[0164] A form design module 902 is used to design a form for all information evaluation items to obtain evaluation items corresponding to the information evaluation items, wherein the evaluation items are provided with project identifiers corresponding to the information evaluation items;

[0165] The project integration module 903 is used to integrate all evaluation projects and generate an evaluation report template;

[0166] The number generation module 904 is used to receive the filling request and the filling content sent by the user, and generate a request number corresponding to the filling request;

[0167] The template updating module 905 is used to determine the target project identifier corresponding to the filled content, and fill the filled content into the target assessment project according to the target project identifier to update the assessment report template;

[0168] A content review module 906, for performing content review on the updated assessment report template based on the request number in response to a submission instruction sent by the user;

[0169] The opinion generating module 907 is used to determine the failed evaluation items that failed the content review when the updated evaluation report template fails the content review, and to generate the review opinions corresponding to the failed evaluation items;

[0170] The feedback generation module 908 is used to fill the review opinions into the evaluation report template to obtain a feedback evaluation report.

[0171] In some embodiments, the evaluation report generating device also includes a prompt information generating module, which is used to display the feedback evaluation report to the user; determine the modification content corresponding to the modification instruction in response to the user's modification instruction; replace the content in the failed evaluation item according to the modification content, and update the feedback evaluation report according to the replaced failed evaluation item to generate a target evaluation report; and perform content review on the target evaluation report in response to the user's submission instruction; generate prompt information when the target evaluation report passes the content review.

[0172] The specific implementation of the evaluation report generating device is substantially the same as the specific implementation of the evaluation report generating method described above, and will not be described in detail herein.

[0173] The embodiment of the present application also provides an electronic device, the electronic device comprising: a memory, a processor, a program stored in the memory and executable on the processor, and a data bus for realizing connection and communication between the processor and the memory, and the program is executed by the processor to realize the above-mentioned evaluation report generation method. The electronic device can be any intelligent terminal including a tablet computer, a vehicle-mounted computer, etc.

[0174] See also Fig.10 , Fig.10 The hardware structure of an electronic device of another embodiment is illustrated, and the electronic device includes:

[0175] The processor 1001 may be implemented by a general-purpose CPU (Central Processing Unit), a microprocessor, an application-specific integrated circuit (Application Specific Integrated Circuit, ASIC), or one or more integrated circuits, and is used to execute relevant programs to implement the technical solutions provided in the embodiments of the present application;

[0176] The memory 1002 can be implemented in the form of a read-only memory (ROM), a static storage device, a dynamic storage device, or a random access memory (RAM). The memory 1002 can store an operating system and other application programs. When the technical solution provided in the embodiment of this specification is implemented by software or firmware, the relevant program code is stored in the memory 1002, and the processor 1001 calls and executes the evaluation report generation method of the embodiment of this application;

[0177] Input / output interface 1003, used to implement information input and output;

[0178] The communication interface 1004 is used to realize the communication interaction between the device and other devices. The communication can be realized through a wired manner (such as USB, network cable, etc.) or a wireless manner (such as mobile network, WI FI, Bluetooth, etc.);

[0179] A bus 1005 , which transmits information between various components of the device (e.g., the processor 1001 , the memory 1002 , the input / output interface 1003 , and the communication interface 1004 );

[0180] The processor 1001 , the memory 1002 , the input / output interface 1003 and the communication interface 1004 are connected to each other in communication within the device via the bus 1005 .

[0181] An embodiment of the present application also provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, the above-mentioned evaluation report generation method is implemented.

[0182] The memory, as a non-transient computer-readable storage medium, can be used to store non-transient software programs and non-transient computer executable programs. In addition, the memory may include a high-speed random access memory, and may also include a non-transient memory, such as at least one disk storage device, a flash memory device, or other non-transient solid-state storage device. In some embodiments, the memory may optionally include a memory remotely disposed relative to the processor, and these remote memories may be connected to the processor via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0183] The evaluation report generation method, device, electronic device and storage medium provided in the embodiments of the present application first obtain multiple information evaluation items, and design a form for all the information evaluation items. The evaluation process can be standardized through the form design to obtain evaluation items corresponding to the information evaluation items, ensuring that each information evaluation item can be filled in and submitted according to its corresponding format and requirements, reducing differences and arbitrariness, and each evaluation item is provided with a project identifier corresponding to the information evaluation item, and then all the evaluation items are integrated to generate an evaluation report template, which can integrate all the evaluation items into one evaluation report template for display, so that the items that need to be filled in can be set in advance. The template written by the user is then received, and the filling request and filling content sent by the user, that is, the content entered by the user, are received, and a request number corresponding to the filling request is generated, so as to facilitate the subsequent search for the already filled evaluation report template. When the updated evaluation report template fails the content review, the failed evaluation items that failed the content review are determined, and the audit opinions corresponding to the failed evaluation items are generated, so as to facilitate the subsequent users to modify the information according to the audit opinions, thereby ensuring the timeliness of the evaluation, filling the audit opinions into the evaluation report template, and obtaining the feedback evaluation report, so as to timely feedback the user's audit results, realize the transparency of the process, and improve the evaluation efficiency of the entire evaluation work.

[0184] The embodiments described in the embodiments of the present application are intended to more clearly illustrate the technical solutions of the embodiments of the present application and do not constitute a limitation on the technical solutions provided in the embodiments of the present application. Those skilled in the art will appreciate that with the evolution of technology and the emergence of new application scenarios, the technical solutions provided in the embodiments of the present application are also applicable to similar technical problems.

[0185] It can be understood by those skilled in the art that Figure 1-10 The technical solutions shown in the figure do not constitute a limitation on the embodiments of the present application, and may include more or fewer steps than those shown in the figure, or a combination of certain steps, or different steps.

[0186] The device embodiments described above are merely illustrative, and the units described as separate components may or may not be physically separated, that is, they may be located in one place or distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0187] Those skilled in the art will appreciate that all or some of the steps in the methods disclosed above, and the functional modules / units in the systems and devices may be implemented as software, firmware, hardware, or a suitable combination thereof.

[0188] The terms "first", "second", "third", "fourth", etc. (if any) in the specification of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0189] It should be understood that in the present application, "at least one (item)" means one or more, and "plurality" means two or more. "And / or" is used to describe the association relationship of associated objects, indicating that three relationships may exist. For example, "A and / or B" can mean: only A exists, only B exists, and A and B exist at the same time, where A and B can be singular or plural. The character " / " generally indicates that the objects associated before and after are in an "or" relationship. "At least one of the following" or similar expressions refers to any combination of these items, including any combination of single or plural items. For example, at least one of a, b or c can mean: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", where a, b, c can be single or multiple.

[0190] In the several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the above units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0191] The units described above as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0192] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0193] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including multiple instructions to enable a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of various embodiments of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (Read-Only Memory, referred to as ROM), random access memory (Random Access Memory, referred to as RAM), disk or optical disk and other media that can store programs.

[0194] The preferred embodiments of the present application are described above with reference to the accompanying drawings, but the scope of the rights of the present application is not limited thereto. Any modification, equivalent substitution and improvement made by a person skilled in the art without departing from the scope and essence of the present application should be within the scope of the rights of the present application.

Claims

1. A method for generating an evaluation report, characterized in that: The method comprises: Obtain multiple information evaluation items; Performing form design for all the information evaluation items to obtain evaluation items corresponding to the information evaluation items, wherein the evaluation items are provided with project identifiers corresponding to the information evaluation items; Integrate all the assessment items and generate an assessment report template; Receive a filling request and filling content sent by a user, and generate a request number corresponding to the filling request; Determine the target project identifier corresponding to the filled content, and fill the filled content into the target assessment project according to the target project identifier to update the assessment report template; In response to the submission instruction sent by the user, performing a content review on the updated assessment report template based on the request number; When the updated assessment report template fails to pass the content review, the failed assessment items that failed the content review are determined, and a review opinion corresponding to the failed assessment items is generated; Fill the review opinions into the evaluation report template to obtain a feedback evaluation report.

2. The method for generating an evaluation report according to claim 1, characterized in that: The step of performing form design on all the information evaluation items to obtain evaluation items corresponding to the information evaluation items includes: Performing attribute detection on all the information evaluation items to determine the evaluation information attributes corresponding to the information evaluation items; Determining a filling content attribute and a filling method attribute of the information evaluation item according to the evaluation information attribute, wherein the filling content attribute is an attribute characterizing a processing scenario and a data scale of the information evaluation item, and the filling method attribute is an attribute characterizing an interactive method of the information evaluation item; An evaluation item corresponding to the information evaluation item is generated according to the filled content attribute and the filled mode attribute.

3. The method for generating an evaluation report according to claim 2, characterized in that: The step of integrating all the assessment items to generate an assessment report template includes: For each of the evaluation items, semantic recognition is performed on the evaluation item according to the filled-in content attributes to determine evaluation semantic information corresponding to the evaluation item; Performing information association detection on the evaluation items based on the evaluation semantic information to determine a plurality of associated evaluation items; Binding information of the plurality of related evaluation items to obtain a related item group; Calculate the importance of the evaluation items according to the preset importance index to obtain an importance score; Sorting the assessment items and the associated item groups according to the importance scores to obtain an importance sequence; The assessment items and the associated item groups are numbered based on the importance sequence to generate an assessment report template.

4. The method for generating an evaluation report according to claim 1, characterized in that: The content review of the updated assessment report template based on the request number includes: Obtain the template number and report content of the updated assessment report template; When the template number is consistent with the request number, a security review is performed on the report content; When the report content passes the security review, a normative review of the report content will be conducted according to preset system requirements.

5. The method for generating an evaluation report according to claim 4, characterized in that: The security review of the report content includes: Performing semantic segmentation on the report content to obtain multiple semantic segments; For each of the semantic segments, identifying sensitive data of the semantic segment and performing encryption check on the semantic segment; The report content is reviewed in accordance with the preset system requirements, including: Determine authorization requirements and legal and regulatory requirements based on preset system requirements; Conduct a normative review of the report content in accordance with the authorization requirements and the legal and regulatory requirements.

6. The method for generating an evaluation report according to claim 3, characterized in that: The importance of the evaluation project and the associated project group is calculated according to the preset importance index to obtain the importance score, including: Acquire all target related evaluation items in the related item group; For each of the evaluation items, scoring the evaluation item according to a preset importance index to obtain a first importance score; For each of the target association evaluation items, scoring the target association evaluation item according to a preset importance index to obtain a second importance score; averaging all the second importance scores to obtain an important average score; The first importance score is determined as the importance score of the evaluation item, and the importance average score is determined as the importance score of the associated item group.

7. The method for generating an evaluation report according to claim 1, characterized in that: After the review opinion is filled into the evaluation report template to obtain the feedback evaluation report, the method further includes: Displaying the feedback evaluation report to the user; In response to a modification instruction of a user, determining a modification content corresponding to the modification instruction; Replace the content in the failed evaluation item according to the modified content, and update the feedback evaluation report according to the replaced failed evaluation item to generate a target evaluation report; In response to a user's submission instruction, performing a content review on the target assessment report; When the target assessment report passes the content review, a prompt message is generated.

8. An evaluation report generating device, characterized in that: The device comprises: A data acquisition module, used to acquire multiple information evaluation items; A form design module, used for performing form design on all the information evaluation items to obtain evaluation items corresponding to the information evaluation items, wherein the evaluation items are provided with project identifiers corresponding to the information evaluation items; A project integration module, used to integrate all the evaluation projects and generate an evaluation report template; A number generation module is used to receive a filling request and filling content sent by a user, and generate a request number corresponding to the filling request; A template updating module, used to determine a target project identifier corresponding to the filled-in content, and fill the filled-in content into a target assessment project according to the target project identifier to update the assessment report template; A content review module, configured to perform content review on the updated evaluation report template based on the request number in response to a submission instruction sent by a user; An opinion generating module, used for determining failed evaluation items that failed the content review when the updated evaluation report template fails the content review, and generating an audit opinion corresponding to the failed evaluation items; The feedback generation module is used to fill the review opinions into the evaluation report template to obtain a feedback evaluation report.

9. An electronic device, characterized in that: The electronic device includes a memory and a processor, the memory stores a computer program, and the processor implements the evaluation report generation method according to any one of claims 1 to 7 when executing the computer program.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the evaluation report generating method according to any one of claims 1 to 7 is implemented.

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