Opinion collection method and system, computer equipment and storage medium

Abstract

The invention discloses an opinion collection method and system, computer equipment and a storage medium, relates to the technical field of big data, and is applied to opinion information collection scenes related to financial services. The method comprises the steps that opinion information about a target event uploaded by a user side is acquired in real time through a plurality of information management servers arranged in different areas, and all the opinion information is transmitted to a data processing center connected with all the information management servers in real time; and the data processing center obtains the keyword and the emotion type of the opinion information, performs classification processing according to the keyword and the emotion type, and generates an opinion result corresponding to the target event according to a classification result. By means of the method, the problem that in the prior art, a traditional opinion collection method is obviously insufficient in accuracy, real-time performance and efficiency can be solved.

Description

Technical Field

[0001] The present invention relates to the field of big data technology, and is applied to opinion information collection scenarios related to financial services, and specifically to an opinion collection method, system, computer equipment, and non-volatile computer-readable storage medium. Background Art

[0002] At present, with the development of society and the advancement of science and technology, collecting public opinions has become an indispensable part of policy formulation, service improvement and product development. For example, in marketing activities related to financial services, users' evaluation and opinions on marketing activities are crucial to the subsequent optimization of financial services. Among them, for traditional opinion collection methods, such as offline collection, setting up suggestion boxes, mailboxes, etc., although they can collect public feedback to a certain extent, these methods have many limitations and shortcomings, such as:

[0003] 1. Time-consuming: Traditional opinion collection methods partially rely on physical media, such as paper letters, which requires staff to regularly check the suggestion boxes and manually collect letters. The process from user opinion submission to collection, collation and analysis takes a long time, resulting in a longer feedback cycle;

[0004] 2. Long feedback lines: Since feedback relies on physical media, the feedback lines are often long, which not only increases the processing time, but may also cause delays or loss of feedback information during the transmission process;

[0005] 3. Accuracy issues: Traditional opinion collection methods require staff to read, classify and count the physical media received one by one, which is not only labor-intensive but also easily affected by subjective factors, affecting the objectivity and accuracy of the opinion results;

[0006] 4. Information loss: During the collection and processing of physical media, some opinions may be lost before being recorded due to human or environmental factors, resulting in incomplete information collected;

[0007] 5. Representativeness issue: Due to the limited coverage of traditional methods, the opinions collected may only represent a small part of the population and cannot fully reflect the views and needs of all stakeholders;

[0008] 6. Resource investment: Traditional opinion collection methods require a lot of manpower, material and financial resources, including setting up suggestion boxes, printing and distributing feedback forms, hiring personnel for document processing and data analysis, etc.

[0009] In summary, in the prior art, traditional opinion collection methods have obvious deficiencies in accuracy, real-time performance and efficiency.

[0010] Therefore, the existing technology still needs to be improved and developed. Summary of the invention

[0011] In view of the above-mentioned deficiencies in the prior art, the object of the present invention is to provide an opinion collection method, system, computer device and non-volatile computer-readable storage medium that can be used in financial technology or other related fields, aiming to solve the problem that the traditional opinion collection method in the prior art has obvious deficiencies in accuracy, real-time and efficiency.

[0012] In order to achieve the above object, the present invention adopts the following technical solutions:

[0013] A method for collecting opinions, wherein the method comprises:

[0014] Acquire the opinion information about the target event uploaded by the user terminal in real time through multiple information management servers arranged in different areas, and transmit each opinion information in real time to a data processing center connected to each information management server;

[0015] The data processing center obtains keywords and sentiment types of the opinion information, performs classification processing according to the keywords and sentiment types, and generates opinion results corresponding to the target event according to the classification results.

[0016] In a further technical solution, the opinion collection method, wherein the opinion information uploaded by the user terminal about the target event is obtained in real time through multiple information management servers arranged in different areas, and each of the opinion information is transmitted in real time to a data processing center connected to each of the information management servers, comprises:

[0017] An information management server is arranged in advance in each of the multiple different areas;

[0018] Obtaining, through each of the information management servers, opinion information about the target event uploaded by the user terminal in the corresponding area;

[0019] Using a preset cryptographic algorithm to encrypt each of the opinion information;

[0020] The encrypted opinion information is transmitted in real time to a data processing center connected to each information management server using a preset communication protocol.

[0021] In a further technical solution, the opinion collection method, wherein the data processing center obtains the keywords and sentiment types of the opinion information, and performs classification processing according to the keywords and sentiment types, and generates the opinion results corresponding to the target event according to the classification results, includes:

[0022] Decrypting the encrypted opinions received by the data processing center using the cryptographic algorithm, and backing up the decrypted opinion information using a preset backup strategy;

[0023] Preprocessing the decrypted opinion information by the data processing center to obtain keywords and sentiment types of the opinion information;

[0024] The opinion information is classified according to the keywords and sentiment types, and the classification results are sorted to obtain the opinion results corresponding to the target event.

[0025] In a further technical solution, the method for collecting opinions further comprises:

[0026] Sending the opinion result of the target event to a preset policy formulation terminal, so that the policy formulation terminal can formulate an event policy for the target event;

[0027] The target event policy formulated for the target event and returned by the policy formulation terminal is received, and the target event policy is sent to the policy execution terminal associated with the target event for execution.

[0028] In a further technical solution, the opinion collection method, wherein the sending of the opinion result of the target event to a preset policy formulation terminal for the policy formulation terminal to formulate an event policy for the target event, includes:

[0029] A strategy formulation terminal for presetting an event strategy for the target event;

[0030] The opinion result corresponding to the target event is sent to the strategy formulation terminal through the data processing center.

[0031] In a further technical solution, the opinion collection method, wherein the receiving the target event policy formulated for the target event returned by the policy formulation terminal, and sending the target event policy to the policy execution terminal associated with the target event for execution, comprises:

[0032] Presetting a policy execution terminal for executing the event policy of the target event;

[0033] The target event policy formulated for the target event and returned by the policy formulation terminal is received through the data processing center, and the target event policy is sent to the policy execution terminal for execution.

[0034] In a further technical solution, the opinion collection method, wherein the receiving the target event policy formulated for the target event returned by the policy formulation terminal, and sending the target event policy to the policy execution terminal associated with the target event for execution, further includes:

[0035] Receiving, through the data processing center, a policy execution result regarding the target event policy returned by the policy execution terminal;

[0036] After analyzing and organizing the policy execution results, a feedback report is generated, and the feedback report is sent to the policy formulation terminal through the data processing center.

[0037] An opinion collection system, wherein the system comprises:

[0038] A transmission module, used to obtain in real time the opinion information about the target event uploaded by the user terminal through a plurality of information management servers arranged in different areas, and transmit each of the opinion information in real time to a data processing center connected to each of the information management servers;

[0039] The classification module is used for the data processing center to obtain the keywords and sentiment types of the opinion information, and to perform classification processing according to the keywords and sentiment types, and to generate the opinion results corresponding to the target event according to the classification results.

[0040] A computer device, wherein the computer device comprises at least one processor; and

[0041] a memory communicatively connected to the at least one processor; wherein,

[0042] The memory stores a computer program that can be executed by the at least one processor. When the computer program is executed by the at least one processor, the opinion collection method as described in any one of the above items can be implemented.

[0043] A non-volatile computer-readable storage medium, wherein the non-volatile computer-readable storage medium stores a computer program, and when the computer program is executed by at least one processor, it can implement any of the above-mentioned opinion collection methods.

[0044] Compared with the prior art, the present invention provides an opinion collection method, system, computer device and non-volatile computer-readable storage medium, wherein the method includes: obtaining the opinion information uploaded by the user terminal about the target event in real time through multiple information management servers arranged in different areas, and transmitting each of the opinion information in real time to a data processing center connected to each of the information management servers; the data processing center obtains the keywords and emotional types of the opinion information, and performs classification processing according to the keywords and emotional types, and generates the opinion results corresponding to the target event according to the classification results. In this way, the method of the present invention can solve the problem that the traditional opinion collection method in the prior art has obvious deficiencies in accuracy, real-time performance and efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0046] Figure 1 A flowchart of an opinion collection method provided by an embodiment of the present invention.

[0047] Figure 2 Another flowchart of an opinion collection method provided by an embodiment of the present invention.

[0048] Figure 3 A schematic diagram of functional modules of an opinion collection system provided in an embodiment of the present invention.

[0049] Figure 4 A schematic diagram of the hardware structure of a computer device provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0050] In order to make the purpose, technical solution and effect of the present invention clearer and more specific, the present invention is further described in detail with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0051] In the description of the present invention, the terms "include", "including", "have", "contain", etc. are all open terms, which mean including but not limited to. The descriptions with reference to the terms "one embodiment", "a specific embodiment", "some embodiments", "for example", etc. mean that the specific features, structures or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures or characteristics described may be combined in a suitable manner in any one or more embodiments or examples. The order of steps involved in each embodiment is used to schematically illustrate the implementation of the present application, and the order of steps therein is not limited and can be appropriately adjusted as needed.

[0052] Various non-limiting embodiments of the present invention are described in detail below in conjunction with the accompanying drawings.

[0053] At present, with the development of society and the advancement of science and technology, collecting public opinions has become an indispensable part of policy formulation, service improvement and product development. For example, in marketing activities related to financial services, users' evaluation and opinions on marketing activities are crucial to the subsequent optimization of financial services. Among them, for traditional opinion collection methods, such as offline collection, setting up suggestion boxes, mailboxes, etc., although they can collect public feedback to a certain extent, these methods have many limitations and shortcomings, such as:

[0054] 1. Time-consuming: Traditional opinion collection methods partially rely on physical media, such as paper letters, which requires staff to regularly check the suggestion boxes and manually collect letters. The process from user opinion submission to collection, collation and analysis takes a long time, resulting in a longer feedback cycle;

[0055] 2. Long feedback lines: Since feedback relies on physical media, the feedback lines are often long, which not only increases the processing time, but may also cause delays or loss of feedback information during the transmission process;

[0056] 3. Accuracy issues: Traditional opinion collection methods require staff to read, classify and count the physical media received one by one, which is not only labor-intensive but also easily affected by subjective factors, affecting the objectivity and accuracy of the opinion results;

[0057] 4. Information loss: During the collection and processing of physical media, some opinions may be lost before being recorded due to human or environmental factors, resulting in incomplete information collected;

[0058] 5. Representativeness issue: Due to the limited coverage of traditional methods, the opinions collected may only represent a small part of the population and cannot fully reflect the views and needs of all stakeholders;

[0059] 6. Resource investment: Traditional opinion collection methods require a lot of manpower, material and financial resources, including setting up suggestion boxes, printing and distributing feedback forms, hiring personnel for document processing and data analysis, etc.

[0060] In summary, in the prior art, traditional opinion collection methods have obvious deficiencies in accuracy, real-time performance and efficiency.

[0061] To solve the above problems, see Figure 1 The embodiment of the present invention provides a method for collecting opinions, wherein the method comprises the steps of:

[0062] S100, obtaining in real time opinion information about a target event uploaded by a user terminal through a plurality of information management servers arranged in different areas, and transmitting each opinion information in real time to a data processing center connected to each information management server;

[0063] S200: The data processing center obtains keywords and sentiment types of the opinion information, performs classification processing according to the keywords and sentiment types, and generates opinion results corresponding to the target event according to the classification results.

[0064] Furthermore, the opinion collection method, wherein the step S100, obtaining the opinion information about the target event uploaded by the user in real time through multiple information management servers arranged in different areas, and transmitting each of the opinion information in real time to a data processing center connected to each of the information management servers, specifically includes:

[0065] An information management server is arranged in advance in each of the multiple different areas;

[0066] Obtaining, through each of the information management servers, opinion information about the target event uploaded by the user terminal in the corresponding area;

[0067] Using a preset cryptographic algorithm to encrypt each of the opinion information;

[0068] The encrypted opinion information is transmitted in real time to a data processing center connected to each information management server using a preset communication protocol.

[0069] In the specific implementation, in this embodiment, an information management server is pre-arranged in a plurality of different areas respectively; the opinion information about the target event uploaded by the user terminal in the corresponding area is obtained through each of the information management servers; each of the opinion information is encrypted by using a preset cryptographic algorithm; and each of the encrypted opinion information is transmitted in real time to a data processing center connected to each of the information management servers by using a preset communication protocol; wherein the specific implementation process is roughly as follows:

[0070] 1) Server site selection and layout

[0071] Determine the best location for information management servers based on the target area's geographic distribution, population density, network infrastructure, and other factors;

[0072] Deploy an information management server in each region and ensure that the server has stable power supply, network connection and physical security measures;

[0073] Configure server hardware and software, including server operating system, database management system, network protocol stack, etc.;

[0074] 2) Network connection and configuration

[0075] Establish a high-speed, stable network connection for each information management server to ensure fast data transmission;

[0076] Configure the server's network parameters, such as IP address, subnet mask, default gateway, etc., to ensure that the server can communicate with user devices in the area;

[0077] Implement network security measures, such as firewalls, intrusion detection systems, etc., to protect servers from malicious attacks;

[0078] 3) Development of user opinion information collection interface

[0079] Develop a user interface (UI) for the user side, allowing users to upload their opinion information via the Internet, mobile applications or other electronic devices;

[0080] Implement an application programming interface (API) so that the client can communicate with the information management server and upload data;

[0081] Ensure that the collection interface is user-friendly, provide clear instructions and feedback, and encourage users to participate in uploading opinion information;

[0082] 4) Select a cryptographic algorithm

[0083] Select appropriate cryptographic algorithms, such as AES, RSA, SM2, SM4, etc., based on data security needs and compliance requirements;

[0084] Select an appropriate key length for the algorithm. For example, for AES, you can choose a key length of 128 bits, 192 bits, or 256 bits.

[0085] 5) Key Management

[0086] Generate the keys required for encryption and ensure the security and randomness of the keys;

[0087] Securely store and manage keys, using a key management system or hardware security module (HSM);

[0088] If it is an asymmetric cryptographic algorithm of the public / private key system, it is also necessary to ensure the distribution mechanism of the public key and the security of the private key;

[0089] 6) Encryption

[0090] Implement cryptographic algorithms on the information management server to encrypt the opinion information uploaded by users;

[0091] Ensure the transparency of the encryption process, that is, when users upload their opinion information, encryption is automatically performed without user intervention;

[0092] Encapsulate the encrypted data and add necessary metadata, such as timestamp, user ID, etc., to facilitate subsequent processing and analysis;

[0093] 7) Communication protocol configuration

[0094] Select a preset communication protocol, such as HTTPS, SFTP or other secure communication protocols, for data transmission;

[0095] Configure the network connection between the information management server and the data processing center to ensure the stability and security of communication;

[0096] Implement necessary network optimization measures, such as compression and flow control, to improve transmission efficiency;

[0097] 8) Real-time data transmission

[0098] The encrypted opinion information is transmitted from the information management server to the data processing center in real time through the configured communication protocol;

[0099] Monitor the data transmission process to ensure data integrity and transmission reliability;

[0100] When receiving data at the data processing center, data integrity checks are performed, such as using a hash algorithm to verify that the data has not been tampered with;

[0101] Through the above process, the opinion information from users in different regions can be effectively collected and processed to provide timely and comprehensive data support for decision makers; at the same time, the security and integrity of the opinion information during the collection, transmission and processing process can be ensured, while meeting the requirements of real-time and efficiency.

[0102] Furthermore, the opinion collection method, wherein the step S200, the data processing center obtains the keywords and sentiment types of the opinion information, and performs classification processing according to the keywords and sentiment types, and generates the opinion results corresponding to the target event according to the classification results, specifically includes:

[0103] Decrypting the encrypted opinions received by the data processing center using the cryptographic algorithm, and backing up the decrypted opinion information using a preset backup strategy;

[0104] Preprocessing the decrypted opinion information by the data processing center to obtain keywords and sentiment types of the opinion information;

[0105] The opinion information is classified according to the keywords and sentiment types, and the classification results are sorted to obtain the opinion results corresponding to the target event.

[0106] The specific implementation process is as follows:

[0107] 1) Decryption processing

[0108] After receiving the encrypted opinion information, the data processing center first uses the corresponding cryptographic algorithm to decrypt it; this requires the use of the same algorithm and key as used for encryption;

[0109] For example, if the information is encrypted using the AES algorithm, the data processing center will use the matching decryption key and the decryption mode of the AES algorithm to restore the original content of the information;

[0110] 2) Backup strategy implementation

[0111] After decryption, the data processing center backs up the opinion information according to the preset backup strategy; this may include copying the data to multiple physical locations, such as different information management servers, disk arrays or cloud storage services;

[0112] In this embodiment, the opinion information is backed up to the information management server as an example, and the specific process of the backup is as follows:

[0113] 21) Determine the parameters

[0114] Determine the number c of the current node (i.e., the information management server);

[0115] Determine the number t of total nodes (i.e., total information management servers);

[0116] Determine the number of copies b of each data (i.e. opinion information) that need to be backed up;

[0117] Then, the backup strategy formula is:

[0118] Backup node (i.e. backup information management server) index = ((c+t) mod b) + 1;

[0119] In the above formula, mod stands for modular operation, which is used to find the non-negative remainder; 1 is added because indexes usually start counting from 1, not from 0;

[0120] 22) Calculate the backup node index

[0121] For each node's uploaded data, use the above formula to calculate the backup node index;

[0122] For example, if the current node number is c, the total number of nodes is t, and the number of copies required to be backed up is b, then the calculation is: backup node index = ((c+t)mod b)+1;

[0123] 23) Select the backup node

[0124] According to the calculated backup node index, select the corresponding node from the total nodes as the backup node;

[0125] If the calculated index exceeds the total number of nodes, you can use the modulo operation mod t to loop back to the beginning of the node list to ensure that the index is in the valid range;

[0126] 24) Data transmission and backup

[0127] Send a copy of the data to the calculated backup node;

[0128] Store the received data copies on the backup node and ensure the security and integrity of the data;

[0129] 25) Monitoring and maintenance

[0130] Regularly check the status of backup nodes to ensure they are always available;

[0131] If the backup node fails or is unavailable, recalculate and select a new backup node for data backup;

[0132] Regularly verify backup data to ensure that data can be successfully restored when needed;

[0133] 26) Data Recovery

[0134] If the original data is lost or damaged, use the data on the backup node to restore it;

[0135] Depending on the backup strategy, data may need to be restored from multiple backup nodes to ensure data integrity and consistency;

[0136] Through the above process, the security and reliability of data (opinion information) can be ensured, and data loss can be guaranteed even when some nodes fail;

[0137] 3) Data classification

[0138] Before the data processing center classifies the decrypted opinion information, it needs to preprocess the data, which includes cleaning and formatting the collected original opinion information, including removing noise data (such as repeated, irrelevant or obviously erroneous information), formatting data (such as unified coding, field naming, etc.), and data cleaning (such as correcting missing values, correcting erroneous data, etc.).

[0139] Then, through technical means such as keyword recognition, the pre-processed opinion information is classified into different categories. The classification function can be used to process each piece of information. If the information matches a keyword, the information is classified into the corresponding category. During classification, sentiment analysis of the opinion information is also required, and the opinion information is divided into multiple categories according to keywords and sentiment types, such as positive opinions, negative opinions, suggestion opinions, question opinions, etc.

[0140] 4) Classification result generation

[0141] Generate classified results, the data processing center generates detailed reports or data summaries, which may include charts, data visualization and summary of key indicators;

[0142] These results should be able to clearly reflect the public opinions and feedback on the target events and provide support for decision-making;

[0143] 5) Opinion result generation

[0144] The data processing center integrates the classification results from different sources and analysis stages to form a comprehensive opinion result for the target event;

[0145] The integration process may need to address issues of data consistency, completeness, and timeliness to ensure the reliability of the final opinion results;

[0146] Through the above process, the data processing center can efficiently process, analyze and integrate opinion information to generate opinion results corresponding to the target event; it can provide timely and accurate data support for subsequent event decision-making and optimization.

[0147] For further information, see Figure 2 , the method for collecting opinions, wherein the method further comprises the steps of:

[0148] S300, sending the opinion result of the target event to a preset policy formulation terminal, so that the policy formulation terminal formulates an event policy for the target event;

[0149] S400: Receive a target event policy formulated for the target event and returned by the policy formulation terminal, and send the target event policy to a policy execution terminal associated with the target event for execution.

[0150] Further, the opinion collection method, wherein the step S300, sending the opinion result of the target event to a preset policy formulation terminal for the policy formulation terminal to formulate an event policy for the target event, specifically includes:

[0151] A strategy formulation terminal for presetting an event strategy for the target event;

[0152] The opinion result corresponding to the target event is sent to the strategy formulation terminal through the data processing center.

[0153] Further, the opinion collection method, wherein the step S400, receiving the target event policy formulated for the target event returned by the policy formulation terminal, and sending the target event policy to the policy execution terminal associated with the target event for execution, specifically includes:

[0154] Presetting a policy execution terminal for executing the event policy of the target event;

[0155] The target event policy formulated for the target event and returned by the policy formulation terminal is received through the data processing center, and the target event policy is sent to the policy execution terminal for execution.

[0156] Further, the opinion collection method, wherein the step S400, receiving the target event policy formulated for the target event returned by the policy formulation terminal, and sending the target event policy to the policy execution terminal associated with the target event for execution, specifically also includes:

[0157] Receiving, through the data processing center, a policy execution result regarding the target event policy returned by the policy execution terminal;

[0158] After analyzing and organizing the policy execution results, a feedback report is generated, and the feedback report is sent to the policy formulation terminal through the data processing center.

[0159] In specific implementation, in this embodiment, a policy formulation terminal for formulating the event strategy of the target event is pre-set; the opinion result corresponding to the target event is sent to the policy formulation terminal through the data processing center; a policy execution terminal for executing the event strategy of the target event is pre-set; the target event strategy formulated for the target event returned by the policy formulation terminal is received through the data processing center, and the target event strategy is sent to the policy execution terminal for execution; the policy execution result about the target event strategy returned by the policy execution terminal is received through the data processing center; after analyzing and collating the strategy execution result, a feedback report is generated, and the feedback report is sent to the policy formulation terminal through the data processing center; wherein the specific implementation process is roughly as follows:

[0160] 1) Terminal Presets

[0161] That is, a policy formulation terminal for formulating an event policy for a target event and a policy execution terminal for executing the event policy are pre-set;

[0162] 2) Send feedback results

[0163] First, the data processing center compiles the opinion results into reports or other forms of documents;

[0164] Then, the opinion results are sent to a pre-set strategy formulation terminal through a secure electronic transmission method (such as encrypted email, dedicated communication software or secure file transfer protocol);

[0165] 3) Strategy formulation

[0166] After receiving the opinion results, the policy formulation terminal conducts a detailed review and formulates the policy in combination with other relevant information and data;

[0167] The strategy development process may include evaluation and decision making to determine the best course of action;

[0168] 4) Strategy approval

[0169] The formulated target event strategy may need to be approved by the relevant departments or superiors;

[0170] The approval process may involve modification and optimization of the strategy to ensure its feasibility and effectiveness;

[0171] 5) Issue target event strategy

[0172] Once the policy is approved, the data processing center is responsible for sending the policy to the policy execution terminal associated with the target event through the appropriate communication channel;

[0173] This may include ensuring that all relevant personnel receive policy information through policy execution terminals through internal communication systems, mailing lists, mobile application push or other notification methods;

[0174] 6) Execution and feedback

[0175] When the policy execution terminal receives the target event policy, it executes the actions specified in the policy to optimize and adjust the target event. The specific process is as follows:

[0176] 61) Understand the content of the strategy

[0177] The strategy execution terminal first needs to read and understand the issued target event strategy in detail, including the strategy's goals, action plans, expected results, and any specific execution guidelines;

[0178] 62) Develop an implementation plan

[0179] Based on the content of the policy, the policy execution terminal should formulate a specific execution plan, including assigning tasks, determining timetables and resource requirements;

[0180] The implementation plan should be detailed to the responsibilities of each relevant person and the specific steps to complete each task;

[0181] 63) Resource Allocation

[0182] Ensure that the resources (such as manpower, funds, equipment, etc.) required to implement the strategy are in place and allocated reasonably;

[0183] If resources are limited, prioritization may be necessary to ensure that the most critical tasks are performed first;

[0184] 64) Execution Action

[0185] Begin implementing the strategy according to the execution plan; this may include adjusting workflows, introducing new tools or technologies, training staff, etc.

[0186] During the execution process, the policy execution terminal should closely monitor the progress and interact with team members to ensure that everyone is clear about their tasks and responsibilities;

[0187] 65) Execution Feedback

[0188] During the implementation process, relevant personnel may need to provide feedback in order to monitor the effectiveness of the strategy and make necessary adjustments;

[0189] Through the above process, the strategy execution terminal can ensure that the target event strategy is effectively executed, while optimizing and adjusting the target event to achieve the best results;

[0190] 7) Strategy execution results

[0191] Receiving, through the data processing center, a policy execution result regarding the target event policy returned by the policy execution terminal;

[0192] After analyzing and sorting out the strategy execution results, a feedback report is generated and sent to the strategy formulation terminal through the data processing center;

[0193] The data processing center and the policy formulation terminal need to monitor the execution of the target event policy by the policy execution terminal to ensure that the target event policy is correctly implemented;

[0194] If problems are found or the effect is not as expected, the strategy formulation terminal may need to further adjust or optimize the target event strategy;

[0195] Through the above process, the smooth progress of the entire process from collecting user opinions to formulating target event strategies, and then to issuing and executing target event strategies can be ensured, while also ensuring the effectiveness and adaptability of target event strategies. Thus, this embodiment can achieve effective optimization and adjustment of target events based on the collected user opinions. Among them, in this embodiment, target events may include products, services, and marketing activities related to the financial field, etc.; by optimizing and adjusting these target events based on the collected user opinions, this embodiment enables financial institutions to better respond to the actual needs of users, thereby improving the quality of related products and services, enhancing corporate competitiveness, and maintaining flexibility and adaptability in a constantly changing market environment.

[0196] It can be seen from the above method embodiments that the opinion collection method provided by the present invention includes: obtaining the opinion information about the target event uploaded by the user terminal in real time through multiple information management servers arranged in different areas, and transmitting each of the opinion information in real time to a data processing center connected to each of the information management servers; the data processing center obtains the keywords and emotional types of the opinion information, and performs classification processing according to the keywords and emotional types, and generates the opinion results corresponding to the target event according to the classification results. In this way, the method of the present invention can solve the problem that the traditional opinion collection method in the prior art has obvious deficiencies in accuracy, real-time performance and efficiency. At the same time, it can also achieve effective optimization and adjustment of the target event based on the collected user opinions.

[0197] Specifically, the opinion collection method provided by the embodiment of the present invention can effectively solve the defects in the prior art that collecting opinion feedback is time-consuming and labor-intensive, and there is a possibility of inaccuracy. By borrowing information technology, a wide range of user opinion information can be centralized and integrated, which can improve efficiency, reduce losses, and reduce investment in manpower, financial and material resources. At the same time, by relying on big data analysis, more accurate data information can be displayed, the accuracy and real-time nature of opinion collection are improved, data security is also guaranteed, and information services can be provided for event decision-making.

[0198] It should be understood that, although the present application provides method operation steps as described in the embodiments or flowcharts, more or less operation steps may be included based on conventional or non-creative labor, and these operation steps are not necessarily performed in sequence according to the embodiment or flowchart. The order of steps listed in the embodiment or flowchart is only one way of executing the order of many steps, and does not represent the only execution order. It should be noted that there is not necessarily a certain order between the above steps. A person of ordinary skill in the art can understand from the description of the embodiment of the present invention that in different embodiments, the above steps may have different execution orders, that is, they may be executed in parallel, or they may be executed in exchange, etc. Moreover, at least a part of the steps in the embodiment or flowchart may include multiple sub-steps or multiple stages, and these sub-steps or stages are not necessarily executed at the same time, but may be executed at different times, and the execution order of these sub-steps or stages is not necessarily performed in sequence, but may be executed in turn, alternately or synchronously with other steps or at least a part of the sub-steps or stages of other steps.

[0199] Based on the above method embodiment, please refer to Figure 3 Another embodiment of the present invention further provides an opinion collection system, wherein the system comprises:

[0200] The transmission module 11 is used to obtain the opinion information about the target event uploaded by the user in real time through multiple information management servers arranged in different areas, and transmit each opinion information in real time to the data processing center connected to each information management server;

[0201] The classification module 12 is used for the data processing center to obtain keywords and sentiment types of the opinion information, and to perform classification processing according to the keywords and sentiment types, and to generate opinion results corresponding to the target event according to the classification results.

[0202] Furthermore, in the opinion collection system, the transmission module 11 specifically includes:

[0203] A deployment unit, used for deploying an information management server in each of the plurality of different areas in advance;

[0204] An acquisition unit, configured to acquire, through each of the information management servers, opinion information on a target event uploaded by a user terminal in a corresponding area;

[0205] An encryption unit, used to encrypt each of the opinion information using a preset cryptographic algorithm;

[0206] The transmission unit is used to transmit the encrypted opinion information to a data processing center connected to each information management server in real time using a preset communication protocol.

[0207] Furthermore, in the opinion collection system, the classification module 12 specifically includes:

[0208] A decryption and backup unit, used to decrypt the encrypted opinions received by the data processing center using the cryptographic algorithm, and back up the decrypted opinion information using a preset backup strategy;

[0209] A preprocessing unit, configured to preprocess the decrypted opinion information through the data processing center to obtain keywords and sentiment types of the opinion information;

[0210] The classification and sorting unit is used to classify the opinion information according to the keywords and sentiment types, and sort the classification results to obtain the opinion results corresponding to the target event.

[0211] Furthermore, the opinion collection system further comprises:

[0212] An opinion result sending module, used for sending the opinion result of the target event to a preset policy formulation terminal, so that the policy formulation terminal can formulate an event policy for the target event;

[0213] The event strategy sending module is used to receive the target event strategy formulated for the target event and returned by the strategy formulation terminal, and send the target event strategy to the strategy execution terminal associated with the target event for execution.

[0214] Furthermore, in the opinion collection system, the opinion result sending module specifically includes:

[0215] A policy formulation terminal setting unit, used to pre-set a policy formulation terminal for event policy formulation of the target event;

[0216] An opinion result sending unit is used to send the opinion result corresponding to the target event to the strategy formulation terminal through the data processing center.

[0217] Furthermore, in the opinion collection system, the event strategy sending module specifically includes:

[0218] A policy execution terminal setting unit, used to pre-set a policy execution terminal for event policy execution of the target event;

[0219] The event strategy sending unit is used to receive the target event strategy formulated for the target event and returned by the strategy formulation terminal through the data processing center, and send the target event strategy to the strategy execution terminal for execution.

[0220] Furthermore, in the opinion collection system, the event strategy sending module specifically includes:

[0221] An execution result receiving unit, configured to receive, through the data processing center, a policy execution result of the target event policy returned by the policy execution terminal;

[0222] The feedback report generating unit is used to generate a feedback report after analyzing and collating the policy execution results, and send the feedback report to the policy formulation terminal through the data processing center.

[0223] The specific implementation process and effects of the system embodiment of the present invention can be found in the above method embodiment, which will not be described in detail here.

[0224] From the above system embodiments, it can be seen that the opinion collection system provided by the present invention includes: a transmission module, which is used to obtain the opinion information about the target event uploaded by the user terminal in real time through multiple information management servers arranged in different areas, and transmit each of the opinion information in real time to the data processing center connected to each of the information management servers; a classification module, which is used for the data processing center to obtain the keywords and emotional types of the opinion information, and classify and process according to the keywords and emotional types, and generate the opinion results corresponding to the target event according to the classification results. In this way, the system of the present invention can solve the problem that the traditional opinion collection system in the prior art has obvious deficiencies in accuracy, real-time performance and efficiency. At the same time, it can also achieve effective optimization and adjustment of the target event based on the collected user opinions.

[0225] Specifically, the opinion collection system provided by the embodiment of the present invention can effectively solve the defects of the prior art, such as the time-consuming and labor-intensive collection of opinion feedback and the possibility of inaccuracy. By leveraging information technology, a wide range of user opinion information can be centralized and integrated, which can improve efficiency, reduce losses, and reduce investment in manpower, financial and material resources. At the same time, by relying on big data analysis, more accurate data information can be displayed, the accuracy and real-time nature of opinion collection are improved, data security is also guaranteed, and information services can be provided for event decision-making.

[0226] Based on the above method embodiment, please refer to Figure 4 Another embodiment of the present invention further provides a computer device, wherein the computer device 10 includes:

[0227] memory 120 and one or more processors 110, Figure 4 A processor 110 is used as an example for description. The processor 110 and the memory 120 may be connected via a communication bus or other means. Figure 4 The example of connecting via a communication bus is taken as an example.

[0228] The processor 110 is used to complete various control logics of the computer device 10. It can be a general-purpose processor, a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field programmable gate array (FPGA), a single-chip microcomputer, an ARM (Acorn RISC Machine) or other programmable logic device, a discrete gate or transistor logic, a discrete hardware component, or any combination of these components. In addition, the processor 110 can also be any traditional processor, microprocessor or state machine. The processor 110 can also be implemented as a combination of computing devices, for example, a combination of a DSP and a microprocessor, a plurality of microprocessors, one or more microprocessors combined with a DSP, or any other such configuration.

[0229] The memory 120 is a non-volatile computer-readable storage medium that can be used to store non-volatile software programs, non-volatile computer executable programs and modules, such as the computer program corresponding to the opinion collection method in any of the above method embodiments of the present invention. The processor 110 executes various functional applications and data processing of the computer device 10 by running the non-volatile software programs, instructions and units stored in the memory 120, that is, implements the opinion collection method in any of the above method embodiments.

[0230] The memory 120 may include a program storage area and a data storage area, wherein the program storage area may store an application required for operating the device or at least one function; the data storage area may store data created according to the use of the computer device 10, etc. In addition, the memory 120 may include a high-speed random access memory, and may also include a non-volatile memory, such as at least one disk storage device, a flash memory device, or other non-volatile solid-state storage device. In some embodiments, the memory 120 may optionally include a memory remotely arranged relative to the processor 110, and these remote memories may be connected to the computer device 10 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.

[0231] One or more units are stored in the memory 120, and when executed by one or more processors 110, the opinion collection method in any of the above method embodiments can be implemented, for example, the above described opinion collection method can be implemented. Figure 1 The method comprises steps S100 to S200.

[0232] Those skilled in the art will understand that Figure 4 The hardware structure diagram shown in the figure is only a schematic diagram of a partial structure related to the solution of the present invention, and does not constitute a limitation on the computer device to which the solution of the present invention is applied. The specific computer device may include more components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0233] Based on the above method embodiments, another embodiment of the present invention further provides a non-volatile computer-readable storage medium, wherein the non-volatile computer-readable storage medium stores a computer program, and when the computer program is executed by at least one processor, the opinion collection method in any of the above method embodiments can be implemented, for example, the above described Figure 1 The method comprises steps S100 to S200.

[0234] As an example, the non-volatile storage medium can include a read-only memory (ROM), a programmable ROM (PROM), an electrically programmable ROM (EPROM), an electrically erasable ROM (EEPROM), or a flash memory. Volatile memory can include a random access memory (RAM) as an external cache memory. By way of illustration and not limitation, RAM can be obtained in many forms such as synchronous RAM (SRAM), dynamic RAM, (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), enhanced SDRAM (ESDRAM), Synch link DRAM (SLDRAM), and direct Rambus RAM (DRRAM). The disclosed memory components or memories of the operating environment described herein are intended to include one or more of these and / or any other suitable types of memory.

[0235] Based on the above method embodiments, another embodiment of the present invention further provides a computer program product, the computer program product includes a computer program stored on a non-volatile computer-readable storage medium, the computer program includes program instructions, when the program instructions are executed by a processor, the opinion collection method in any of the above method embodiments can be implemented, for example, the above described Figure 1 The method comprises steps S100 to S200.

[0236] The embodiments described above are merely illustrative, in which the units described 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 modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0237] Through the description of the above embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus a general hardware platform, and of course can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the relevant technology can be embodied in the form of a software product, and the computer software product can exist in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods of each embodiment or some parts of the embodiment.

[0238] Conditional language such as "can," "can," "might," or "may," unless specifically stated otherwise or otherwise understood within the context as used, is generally intended to convey, among other things, that a particular embodiment can include (while other embodiments do not) a particular feature, element, and / or operation. Thus, such conditional language is also generally intended to imply that a feature, element, and / or operation is required for one or more embodiments anyway or that one or more embodiments must include logic for determining, with or without input or prompting, whether such features, elements, and / or operations are included or will be performed in any particular embodiment.

[0239] It should be noted that if software tools or components other than those of the company appear in the embodiments of the present application, they are only used for example introduction and do not represent actual use. The content described in this article, in this specification and in the drawings includes examples that can provide an opinion collection method, system, computer device and non-volatile computer-readable storage medium. Of course, it is not possible to describe every conceivable combination of elements and / or methods for the purpose of describing the various features of the present disclosure, but it can be recognized that many other combinations and permutations of the disclosed features are possible. Therefore, it is obvious that various modifications can be made to the present disclosure without departing from the scope or spirit of the present disclosure, but all these various modifications should belong to the scope of protection of the claims attached to the present invention. In addition, or in an alternative, other embodiments of the present disclosure may be obvious from consideration of the present specification and the drawings and from the practice of the present disclosure as presented herein. It is intended that the examples proposed in this specification and the drawings are considered to be illustrative and not restrictive in all respects. Although specific terms are used herein, they are used in a general and descriptive sense and are not used for limiting purposes.

Claims

1. A method for collecting opinions, characterized in that: The method comprises: Acquire the opinion information about the target event uploaded by the user terminal in real time through multiple information management servers arranged in different areas, and transmit each opinion information in real time to a data processing center connected to each information management server; The data processing center obtains keywords and sentiment types of the opinion information, performs classification processing according to the keywords and sentiment types, and generates opinion results corresponding to the target event according to the classification results.

2. The opinion collection method according to claim 1, characterized in that: The method of acquiring the opinion information about the target event uploaded by the user terminal in real time through multiple information management servers arranged in different areas, and transmitting each opinion information in real time to a data processing center connected to each information management server, includes: An information management server is arranged in advance in each of the multiple different areas; Obtaining, through each of the information management servers, opinion information about the target event uploaded by the user terminal in the corresponding area; Using a preset cryptographic algorithm to encrypt each of the opinion information; The encrypted opinion information is transmitted in real time to a data processing center connected to each information management server using a preset communication protocol.

3. The opinion collection method according to claim 2, characterized in that: The data processing center obtains keywords and sentiment types of the opinion information, performs classification processing according to the keywords and sentiment types, and generates opinion results corresponding to the target event according to the classification results, including: Decrypting the encrypted opinions received by the data processing center using the cryptographic algorithm, and backing up the decrypted opinion information using a preset backup strategy; Preprocessing the decrypted opinion information by the data processing center to obtain keywords and sentiment types of the opinion information; The opinion information is classified according to the keywords and sentiment types, and the classification results are sorted to obtain the opinion results corresponding to the target event.

4. The opinion collection method according to claim 1, 2 or 3, characterized in that: The method further comprises: Sending the opinion result of the target event to a preset policy formulation terminal, so that the policy formulation terminal can formulate an event policy for the target event; The target event policy formulated for the target event and returned by the policy formulation terminal is received, and the target event policy is sent to the policy execution terminal associated with the target event for execution.

5. The opinion collection method according to claim 4, characterized in that: The step of sending the opinion result of the target event to a preset policy formulation terminal for the policy formulation terminal to formulate an event policy for the target event includes: A strategy formulation terminal for presetting an event strategy for the target event; The opinion result corresponding to the target event is sent to the strategy formulation terminal through the data processing center.

6. The opinion collection method according to claim 5, characterized in that: The receiving the target event policy formulated for the target event returned by the policy formulation terminal, and sending the target event policy to the policy execution terminal associated with the target event for execution, includes: Presetting a policy execution terminal for executing the event policy of the target event; The target event policy formulated for the target event and returned by the policy formulation terminal is received through the data processing center, and the target event policy is sent to the policy execution terminal for execution.

7. The opinion collection method according to claim 6, characterized in that: The receiving the target event policy formulated for the target event returned by the policy formulation terminal, and sending the target event policy to the policy execution terminal associated with the target event for execution, further includes: Receiving, through the data processing center, a policy execution result regarding the target event policy returned by the policy execution terminal; After analyzing and organizing the policy execution results, a feedback report is generated, and the feedback report is sent to the policy formulation terminal through the data processing center.

8. An opinion collection system, characterized in that: The system comprises: A transmission module, used to obtain in real time the opinion information about the target event uploaded by the user terminal through a plurality of information management servers arranged in different areas, and transmit each of the opinion information in real time to a data processing center connected to each of the information management servers; The classification module is used for the data processing center to obtain keywords and sentiment types of the opinion information, and to perform classification processing according to the keywords and sentiment types, and to generate opinion results corresponding to the target event according to the classification results.

9. A computer device, characterized in that: The computer device comprises at least one processor; and, a memory communicatively connected to the at least one processor; wherein, The memory stores a computer program that can be executed by the at least one processor. When the computer program is executed by the at least one processor, the opinion collection method according to any one of claims 1 to 7 can be implemented.

10. A non-volatile computer-readable storage medium, characterized in that: The non-volatile computer-readable storage medium stores a computer program, and when the computer program is executed by at least one processor, the opinion collection method according to any one of claims 1 to 7 can be implemented.

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