Object satisfaction rate determination system and method, storage medium and electronic device

Abstract

The invention discloses an object satisfaction rate determination system and method, a storage medium and an electronic device, and relates to the field of computers.The object satisfaction rate determination system comprises a complaint analysis module used for comprehensively analyzing multiple pieces of complaint data in a target area to obtain an analysis result; the complaint disassembling module is connected with the complaint analysis module and used for disassembling the analysis result to obtain complaint disassembling information; the complaint quantification module is connected with the complaint disassembly module and is used for determining object satisfaction rates of a plurality of objects in the target area according to the complaint disassembly information; by the adoption of the scheme, the problem that in the prior art, the satisfaction degree of a user on heat supply is mainly reflected through telephone complaints of the user, and a quantitative user satisfaction rate measuring and calculating mechanism is lacked is solved.

Description

Technical Field

[0001] The present application relates to the field of computers, and in particular, to a system and method for determining an object satisfaction rate, a storage medium, and an electronic device. Background Art

[0002] Understanding user needs is the key to improving the quality of heating services. Through surveys, we can understand the user's satisfaction with heating quality, reasonable charges, service attitude, fault handling efficiency, complaint handling mechanism, etc. At present, user satisfaction with heating is mainly reflected through user telephone complaints, and there is a lack of quantitative user satisfaction rate measurement mechanism.

[0003] Regarding the relevant technologies, the current user satisfaction with heating is mainly reflected through users' telephone complaints. There is a lack of a quantitative user satisfaction rate calculation mechanism, and no effective solution has been proposed yet.

[0004] Therefore, it is necessary to improve the related technology to overcome the above-mentioned defects in the related technology. Summary of the invention

[0005] The embodiments of the present application provide a system and method for determining an object satisfaction rate, a storage medium and an electronic device, so as to at least solve the problem in the related art that currently the user's satisfaction with heating is mainly reflected through the user's telephone complaints, and there is a lack of a quantitative user satisfaction rate calculation mechanism.

[0006] According to one aspect of an embodiment of the present application, a system for determining an object satisfaction rate is provided, including: a complaint analysis module, used to perform a comprehensive analysis on multiple complaint data in a target area to obtain an analysis result; a complaint decomposition module, connected to the complaint analysis module, used to decompose the analysis result to obtain complaint decomposition information; a complaint quantification module, connected to the complaint decomposition module, used to determine the object satisfaction rates of multiple objects in the target area based on the complaint decomposition information.

[0007] In an exemplary embodiment, the complaint analysis module includes: a complaint quantity recording program, which is used to count the multiple complaint data received by the customer service system to obtain the number of complaints; a complaint content recording module, which is used to record the complaint content of the multiple complaint data to obtain multiple complaint contents; a room temperature data recording module, which is used to receive room temperature data sent by multiple room temperature analysis modules to obtain multiple room temperature data, wherein the multiple room temperature data correspond one-to-one to the multiple complaint data.

[0008] In an exemplary embodiment, the complaint analysis module is further used to: compare the multiple room temperature data with the standard temperature data to obtain multiple comparison results; determine the complaint data whose comparison results indicate that the room temperature data is higher than the standard temperature data as invalid complaint data, and determine the complaint data whose comparison results indicate that the room temperature data is lower than the standard temperature data as valid complaint data; perform complaint category analysis on the valid complaint data to obtain classification results, wherein the analysis results at least include: the invalid complaint data, the valid complaint data and the classification results.

[0009] In an exemplary embodiment, the complaint disassembly module includes: an invalid complaint record module, used to record the invalid complaint data and the first object identifier corresponding to the invalid complaint data; a valid complaint record module, used to record the valid complaint data, the classification result and the second object identifier corresponding to the valid complaint data; a user complaint record module, which is respectively connected to the invalid complaint record module and the valid complaint record module, and is used to count the number of complaints for the multiple objects according to the object identifier to obtain the number of valid complaints for the multiple objects, wherein the object identifier includes the first object identifier and the second object identifier.

[0010] In an exemplary embodiment, the complaint quantification module is further used to: determine the first object with the largest number of valid complaints among the multiple objects as the maximum complaint object, and set the object satisfaction rate of the maximum complaint object to a first value; determine the second object with the smallest number of valid complaints among the multiple objects as the minimum complaint object, and set the object satisfaction rate of the minimum complaint object to a second value; determine the object satisfaction rates of the multiple objects based on the first value, the second value, the number of valid complaints of the multiple objects and the number of valid complaints of the maximum complaint object.

[0011] In an exemplary embodiment, the complaint quantification module is further used to determine the area satisfaction rate of the target area according to the object satisfaction rates of the multiple objects.

[0012] According to another aspect of an embodiment of the present application, a method for determining an object satisfaction rate is also provided, which is applied to the above-mentioned object satisfaction rate determination system, including: performing a comprehensive analysis on the multiple complaint data in the target area to obtain the analysis results; disassembling the analysis results to obtain the complaint disassembly information; and determining the object satisfaction rates of the multiple objects based on the complaint disassembly information.

[0013] According to another aspect of the embodiments of the present application, a computer-readable storage medium is provided, in which a computer program is stored, wherein the computer program is configured to execute the above-mentioned method for determining the object satisfaction rate when running.

[0014] According to another aspect of an embodiment of the present application, an electronic device is also provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the method for determining the object satisfaction rate through the computer program.

[0015] According to another aspect of the embodiments of the present application, a computer program product is provided, including a computer program, and when the computer program is executed by a processor, the steps of the method described in each embodiment of the present application are implemented.

[0016] Through the present application, a system for determining an object satisfaction rate is provided, comprising: a complaint analysis module, for comprehensively analyzing multiple complaint data in a target area to obtain an analysis result; a complaint decomposition module, connected to the complaint analysis module, for decomposing the analysis result to obtain complaint decomposition information; a complaint quantification module, connected to the complaint decomposition module, for determining the object satisfaction rates of multiple objects in the target area according to the complaint decomposition information; adopting the above scheme, the present application provides a method for evaluating the user satisfaction rate of heating based on complaint quantification, by combining the user's room temperature measured data, analyzing the global user complaint situation, quantitatively counting the user complaint situation, and realizing the quantitative statistics of regional heating satisfaction rate, effectively eliminating interference such as invalid complaints, and facilitating the formation of a more accurate quantitative guidance mechanism for heating; thereby solving the problem in the related technology that the user's satisfaction with heating is currently mainly reflected through the user's telephone complaints, and there is a lack of a quantitative user satisfaction rate calculation mechanism. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0018] In order to more clearly illustrate the embodiments of the present application 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, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0019] Figure 1 It is a hardware structure block diagram of a computer terminal of a method for determining an object satisfaction rate according to an embodiment of the present application;

[0020] Figure 2 is a structural block diagram of a system for determining object satisfaction rate according to an embodiment of the present application;

[0021] Figure 3 is a flow chart of a method for determining an object satisfaction rate according to an embodiment of the present application;

[0022] Figure 4 It is a structural diagram of a system for evaluating heating user satisfaction rate based on complaint quantification according to an embodiment of the present application. DETAILED DESCRIPTION

[0023] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present application.

[0024] It should be noted that the terms "first", "second", etc. in the specification and claims 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.

[0025] The method embodiments provided in the embodiments of the present application can be executed in a computer terminal or a similar computing device. Taking running on a computer terminal as an example, Figure 1 FIG. 1 is a hardware structure block diagram of a computer terminal for determining a method for determining a satisfaction rate of an object according to an embodiment of the present application. Figure 1 As shown, the computer terminal may include one or more ( Figure 1 Only one is shown in the figure) a processor 102 (the processor 102 may include but is not limited to a processing device such as a microprocessor (Central Processing Unit, MCU) or a programmable logic device (Field Programmable Gate Array, FPGA)) and a memory 104 for storing data, wherein the above-mentioned computer terminal may also include a transmission device 106 and an input and output device 108 for communication functions. It can be understood by those skilled in the art that Figure 1 The structure shown is only for illustration and does not limit the structure of the above-mentioned computer terminal. Figure 1 More or fewer components as shown, or with Figure 1Different configurations are shown.

[0026] The memory 104 can be used to store computer programs, for example, software programs and modules of application software, such as the computer program corresponding to the method for determining the object satisfaction rate in the embodiment of the present application. The processor 102 executes various functional applications and data processing by running the computer program stored in the memory 104, that is, to implement the above method. The memory 104 may include a high-speed random access memory, and may also include a non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some instances, the memory 104 may further include a memory remotely arranged relative to the processor 102, and these remote memories may be connected to the computer terminal 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.

[0027] A wireless network provided by a communication provider of a computer terminal. In one example, the transmission device 106 includes a network adapter (Network Interface Controller, referred to as NIC), which can be connected to other network devices through a base station so as to communicate with the Internet. In one example, the transmission device 106 can be a radio frequency (Radio Frequency, referred to as RF) module, which is used to communicate with the Internet wirelessly.

[0028] In this embodiment, a system for determining an object satisfaction rate is provided. Figure 2 is a structural block diagram of a system for determining object satisfaction rate according to an embodiment of the present application, such as Figure 2 As shown, the system includes:

[0029] The complaint analysis module 22 is used to comprehensively analyze multiple complaint data in the target area and obtain analysis results;

[0030] A complaint disassembly module 24, connected to the complaint analysis module, is used to disassemble the analysis result to obtain complaint disassembly information;

[0031] The complaint quantification module 26 is connected to the complaint analysis module and is used to determine the object satisfaction rates of multiple objects in the target area according to the complaint analysis information.

[0032] Through the present application, a system for determining an object satisfaction rate is provided, comprising: a complaint analysis module, for comprehensively analyzing multiple complaint data in a target area to obtain an analysis result; a complaint decomposition module, connected to the complaint analysis module, for decomposing the analysis result to obtain complaint decomposition information; a complaint quantification module, connected to the complaint decomposition module, for determining the object satisfaction rates of multiple objects in the target area according to the complaint decomposition information; adopting the above scheme, the present application provides a method for evaluating the user satisfaction rate of heating based on complaint quantification, by combining the user's room temperature measured data, analyzing the global user complaint situation, quantitatively counting the user complaint situation, and realizing the quantitative statistics of regional heating satisfaction rate, effectively eliminating interference such as invalid complaints, and facilitating the formation of a more accurate quantitative guidance mechanism for heating; thereby solving the problem in the related technology that the user's satisfaction with heating is currently mainly reflected through the user's telephone complaints, and there is a lack of a quantitative user satisfaction rate calculation mechanism.

[0033] In an exemplary embodiment, the complaint analysis module 22 includes: a complaint quantity recording program, which is used to count the multiple complaint data received by the customer service system to obtain the number of complaints; a complaint content recording module, which is used to record the complaint content of the multiple complaint data to obtain multiple complaint contents; a room temperature data recording module, which is used to receive room temperature data sent by multiple room temperature analysis modules to obtain multiple room temperature data, wherein the multiple room temperature data correspond one-to-one to the multiple complaint data.

[0034] The user first feeds back the complaint content to the customer service system, and at the same time, the room temperature sensor in the user's home feeds back the room temperature data to the room temperature analysis module. The number of complaints and the content of complaints in the customer service system are recorded and analyzed by the complaint number recording program and the complaint content recording module. At the same time, the room temperature data in the room temperature analysis module is transmitted to the room temperature data recording module for recording.

[0035] Optionally, the complaint analysis module 22 is further used to: compare the multiple room temperature data with the standard temperature data to obtain multiple comparison results; determine the complaint data whose comparison results indicate that the room temperature data is higher than the standard temperature data as invalid complaint data, and determine the complaint data whose comparison results indicate that the room temperature data is lower than the standard temperature data as valid complaint data; perform complaint category analysis on the valid complaint data to obtain classification results, wherein the analysis results at least include: the invalid complaint data, the valid complaint data and the classification results.

[0036] The complaint analysis module uses the number of complaints in the complaint quantity recording program, the complaint content in the complaint content recording module, and the room temperature data in the room temperature data recording module to conduct a comprehensive analysis of the complaint situation and give a judgment result. Among them, user room temperature data higher than the national standard (i.e. the above-mentioned standard temperature data) is recorded as an invalid complaint, and user room temperature data lower than the national standard is recorded as a valid complaint.

[0037] Specifically, the workflow of the complaint analysis module can be described in detail as follows:

[0038] 1. Receive complaint information: The complaint analysis module receives complaint information from heating users from the customer service system, including detailed content of the complaint, complaint time, ID of the complaining user, etc.

[0039] 2. Room temperature data association: The module performs data query on the connected room temperature analysis module to obtain the room temperature data of the complaining user at the time of the complaint. The room temperature data comes from the room temperature sensors installed in the user's home, which continuously monitor and upload room temperature data.

[0040] 3. Compliance check: The module compares the room temperature data obtained with the national heating standards to check whether the room temperature is lower than the national standards. If the room temperature data is higher than the national standards, the complaint is considered invalid; if the room temperature data is lower than the national standards, the complaint is considered valid.

[0041] 4. Complaint classification: Based on the compliance check results of room temperature data, complaints are classified as valid complaints or invalid complaints. Valid complaints will be further processed, while invalid complaints will be recorded and archived for subsequent data analysis.

[0042] 5. Complaint content analysis: For valid complaints, the complaint analysis module further analyzes the specific content of the complaint, including the user's specific dissatisfaction with heating quality, charges, service attitude, fault handling, etc., to provide a more detailed basis for subsequent complaint quantification.

[0043] 6. Data recording: Whether it is a valid complaint or an invalid complaint, relevant information will be recorded, including the number of complaints, the specific content of the complaints, room temperature data, etc. These data will be used for subsequent complaint quantification and satisfaction analysis.

[0044] 7. Feedback to complaint analysis module: The analyzed and classified complaint information will be fed back to the complaint analysis module for further processing and analysis to calculate the heating satisfaction rate of users and regions.

[0045] The entire process aims to ensure the accuracy and objectivity of complaint analysis, eliminate the impact of invalid complaints through a data-driven approach, more accurately evaluate the quality of heating services, and provide data support for subsequent improvements in heating services.

[0046] Optionally, the complaint disassembly module 24 includes: an invalid complaint record module, used to record the invalid complaint data and the first object identifier corresponding to the invalid complaint data; a valid complaint record module, used to record the valid complaint data, the classification result and the second object identifier corresponding to the valid complaint data; a user complaint record module, which is respectively connected to the invalid complaint record module and the valid complaint record module, and is used to count the number of complaints for the multiple objects according to the object identifier to obtain the number of valid complaints for the multiple objects, wherein the object identifier includes the first object identifier and the second object identifier.

[0047] The complaint analysis module breaks down the judgment results in the complaint analysis module into valid complaints and invalid complaints and records relevant complaint information. The invalid complaint record module counts the users and number of invalid complaints. The valid complaint record module counts the users and number of valid complaints. The user complaint record module records the number of complaints of relevant users on a user basis.

[0048] Specifically, the workflow of the complaint analysis module focuses on further segmenting and processing the information output by the complaint analysis module to prepare for quantitative calculations. The specific process is as follows:

[0049] 1. Receive analysis results: The complaint analysis module receives information on valid complaints and invalid complaints from the complaint analysis module, including the complainant ID, complaint content, room temperature data, and valid / invalid classification results.

[0050] 2. Invalid complaint records: The module first records all invalid complaints, including the user ID and number of invalid complaints. This step is to ensure the accuracy of subsequent analysis and avoid invalid complaints affecting the calculation of user satisfaction rate.

[0051] 3. Valid complaint records: Next, the module records all valid complaints, including the valid complaint user ID, complaint content, room temperature data, and number of complaints. This step is to prepare for the subsequent quantitative calculation of complaints to ensure that each user's complaint is accurately counted.

[0052] 4. User complaint overview: The complaint analysis module will also record the complaint overview of each user, including the number of complaints, complaint type and room temperature data. This step helps to understand each user's heating service experience in more detail.

[0053] 5. Complaint quantification preparation: After completing the above steps, the module will pass the collated valid complaints and user complaint profile information to the complaint quantification module to calculate the user heating satisfaction rate and the average regional complaint satisfaction rate.

[0054] 6. Data archiving: Finally, the module will archive the processed complaint information, including records of valid and invalid complaints, to provide historical data reference for subsequent data analysis and system optimization.

[0055] Through this disassembly process, the complaint disassembly module can ensure the accuracy and traceability of the data, and provide clear and non-interference complaint data to the complaint quantification module, so as to more accurately calculate the heating satisfaction rate of users and regions.

[0056] Optionally, the complaint quantification module 26 is also used to: determine the first object with the largest number of valid complaints among the multiple objects as the maximum complaint object, and set the object satisfaction rate of the maximum complaint object to a first value; and determine the second object with the smallest number of valid complaints among the multiple objects as the minimum complaint object, and set the object satisfaction rate of the minimum complaint object to a second value; determine the object satisfaction rates of the multiple objects based on the first value, the second value, the number of valid complaints of the multiple objects and the number of valid complaints of the maximum complaint object.

[0057] The complaint quantification module analyzes the information in the effective complaint record module and the user complaint record module. The user with the largest number of effective complaints is recorded as the heating satisfaction rate of the user with the largest number of complaints, and the heating satisfaction rate is recorded as 0. The user with the smallest number of effective complaints is recorded as the heating satisfaction rate of the user with the smallest number of complaints, and the heating satisfaction rate is recorded as 100. Other users are recorded in proportion between 0 and 100 according to the ratio of the number of effective complaints to the largest number of effective complaints. The relevant calculation formula is:

[0058] User heating satisfaction rate = 1-number of valid complaints from the user / number of valid complaints Number of valid complaints from the user.

[0059] Optionally, the complaint quantification module 26 is further used to determine the area satisfaction rate of the target area according to the object satisfaction rates of the multiple objects.

[0060] The average complaint satisfaction rate of the area (i.e. the satisfaction rate of the above area) is obtained by weighting the heating satisfaction rate of all users in the area (i.e. the above target area).

[0061] Through the method for determining the object satisfaction rate provided in the above embodiment, by combining the actual user room temperature data, analyzing the global user complaints, quantitatively counting the user complaints, and realizing quantitative statistics of regional heating satisfaction rate, it is possible to effectively eliminate interference such as invalid complaints and form a more accurate quantitative guidance mechanism for heating.

[0062] Through the description of the above implementation methods, those skilled in the art can clearly understand that the method according to the above embodiment can be implemented by means of software plus a necessary general hardware platform, and of course by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present application, or the part that contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk), and includes a number of instructions for a terminal device (which can be a mobile phone, computer, server, or network device, etc.) to execute the methods of each embodiment of the present application.

[0063] Optionally, a method for determining an object satisfaction rate is also provided in this embodiment, and the method is applied to the above-mentioned system embodiment and preferred implementation mode, and will not be repeated hereafter. As used below, the term "module" may implement a combination of software and / or hardware of a predetermined function. Although the devices described in the following embodiments are preferably implemented in software, the implementation of hardware, or a combination of software and hardware, is also possible and conceivable.

[0064] Figure 3 is a flowchart of a method for determining an object satisfaction rate according to an embodiment of the present application, the method comprising:

[0065] Step S302, comprehensively analyzing the plurality of complaint data in the target area to obtain the analysis result;

[0066] Step S304, disassemble the analysis result to obtain the complaint disassembly information;

[0067] Step S306: determining object satisfaction rates of the multiple objects according to the complaint disassembly information.

[0068] Through the above scheme, a comprehensive analysis is first performed on multiple complaint data in the target area to obtain the analysis results; then the analysis results are disassembled to obtain complaint disassembly information; finally, the object satisfaction rates of multiple objects in the target area are determined based on the complaint disassembly information; the above method is adopted, by combining the user room temperature measured data, analyzing the global user complaint situation, quantitatively counting the user complaint situation, and realizing the quantitative statistics of regional heating satisfaction rate, effectively eliminating interference such as invalid complaints, and facilitating the formation of a more accurate quantitative guidance mechanism for heating; thereby solving the problem in the related technology that the current user satisfaction with heating is mainly reflected through the user's telephone complaints, and there is a lack of a quantitative user satisfaction rate measurement mechanism.

[0069] Optionally, the embodiment of the present application also provides an optional system for evaluating the satisfaction rate of heating users based on complaint quantification, such as Figure 4As shown, the system can be used to implement the above-mentioned method for determining the object satisfaction rate. The system mainly includes: users (1), customer service system (2), room temperature analysis module (3), complaint analysis module (4), complaint decomposition module (5), and complaint quantification module (6). Among them, the complaint analysis module (4) is composed of a complaint quantity recording program (7), a complaint content recording module (8), and a room temperature data recording module (9). The complaint decomposition module (5) is composed of an invalid complaint recording module (10), a valid complaint recording module (11), and a user complaint recording module (12). The complaint quantification module is composed of the maximum complaint user heating satisfaction rate (13), the minimum complaint user heating satisfaction rate (14), and the average area complaint satisfaction rate (15).

[0070] The user (1) first feeds back the complaint content to the customer service system (2), and at the same time, the room temperature sensor in the user's home feeds back the room temperature data to the room temperature analysis module (3). The number of complaints and the content of complaints in the customer service system (2) are recorded and analyzed by the complaint number recording program (7) and the complaint content recording module (8). At the same time, the room temperature data in the room temperature analysis module (3) is transmitted to the room temperature data recording module (9) for recording. The complaint analysis module (4) uses the number of complaints, the content of complaints and the room temperature data in (7), (8) and (9) to conduct a comprehensive analysis of the complaint situation and give a judgment result, wherein the user's room temperature data higher than the national standard is recorded as an invalid complaint, and the user's room temperature data lower than the national standard is recorded as a valid complaint. The complaint decomposition module (5) decomposes the judgment result in the complaint analysis module (4) into invalid complaints and valid complaints and records the relevant complaint information. The invalid complaint recording module (10) counts the number of users and the number of invalid complaints. The valid complaint recording module (11) counts the number of users and the number of valid complaints. The user complaint recording module (12) records the number of complaints of relevant users by user. The complaint quantification module (6) analyzes the information in the effective complaint record module (11) and the user complaint record module (12). The user with the largest number of effective complaints is recorded as the heating satisfaction rate of the user with the largest number of complaints (13), and the heating satisfaction rate is recorded as 0. The user with the smallest number of effective complaints is recorded as the heating satisfaction rate of the user with the smallest number of complaints (14), and the heating satisfaction rate is recorded as 100. Other users are recorded in proportion between 0 and 100 according to the ratio of the number of effective complaints to the largest number of effective complaints. The relevant calculation formula is:

[0071] User heating satisfaction rate = 1-the number of valid complaints of the user / the number of valid complaints;

[0072] The average complaint satisfaction rate of an area is obtained by weighting the heating satisfaction rate of all users in the area.

[0073] An embodiment of the present application further provides a computer-readable storage medium, in which a computer program is stored, wherein the computer program is configured to execute the steps of any of the above method embodiments when running.

[0074] Optionally, in this embodiment, the storage medium may be configured to store a computer program for performing the following steps:

[0075] S1, comprehensively analyzing the plurality of complaint data in the target area to obtain the analysis result;

[0076] S2, disassembling the analysis result to obtain the complaint disassembly information;

[0077] S3: Determine object satisfaction rates of the multiple objects according to the complaint analysis information.

[0078] In an exemplary embodiment, the computer-readable storage medium may include, but is not limited to, various media that can store computer programs, such as a USB flash drive, a read-only memory (ROM), a random access memory (RAM), a mobile hard disk, a magnetic disk or an optical disk.

[0079] For specific examples in this embodiment, reference may be made to the examples described in the above embodiments and exemplary implementation modes, and this embodiment will not be described in detail herein.

[0080] An embodiment of the present application further provides an electronic device, including a memory and a processor, wherein a computer program is stored in the memory, and the processor is configured to run the computer program to execute the steps in any one of the above method embodiments.

[0081] Optionally, in this embodiment, the processor may be configured to perform the following steps through a computer program:

[0082] S1, comprehensively analyzing the plurality of complaint data in the target area to obtain the analysis result;

[0083] S2, disassembling the analysis result to obtain the complaint disassembly information;

[0084] S3: Determine object satisfaction rates of the multiple objects according to the complaint analysis information.

[0085] In an exemplary embodiment, the electronic device may further include a transmission device and an input / output device, wherein the transmission device is connected to the processor, and the input / output device is connected to the processor.

[0086] An embodiment of the present application further provides a computer program product, comprising a non-volatile computer-readable storage medium, wherein the non-volatile computer-readable storage medium stores a computer program product, and when the computer program is executed by a processor, the steps of the method described in each embodiment of the present application are implemented.

[0087] Optionally, in this embodiment, the above computer program may be configured to implement the following steps when executed by a processor:

[0088] S1, comprehensively analyzing the plurality of complaint data in the target area to obtain the analysis result;

[0089] S2, disassembling the analysis result to obtain the complaint disassembly information;

[0090] S3: Determine object satisfaction rates of the multiple objects according to the complaint analysis information.

[0091] For specific examples in this embodiment, reference may be made to the examples described in the above embodiments and exemplary implementation modes, and this embodiment will not be described in detail herein.

[0092] Obviously, those skilled in the art should understand that the above modules or steps of the present application can be implemented by a general computing device, they can be concentrated on a single computing device, or distributed on a network composed of multiple computing devices, they can be implemented by a program code executable by a computing device, so that they can be stored in a storage device and executed by the computing device, and in some cases, the steps shown or described can be executed in a different order from that herein, or they can be made into individual integrated circuit modules, or multiple modules or steps therein can be made into a single integrated circuit module for implementation. Thus, the present application is not limited to any specific combination of hardware and software.

[0093] The above is only a preferred implementation of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present application. These improvements and modifications should also be regarded as the scope of protection of the present application.

Claims

1. A system for determining object satisfaction rate, characterized in that: include: Complaint analysis module, used to conduct comprehensive analysis on multiple complaint data in the target area and obtain analysis results; A complaint disassembly module, connected to the complaint analysis module, for disassembling the analysis result to obtain complaint disassembly information; The complaint quantification module is connected to the complaint analysis module and is used to determine the object satisfaction rates of multiple objects in the target area according to the complaint analysis information.

2. The system according to claim 1, characterized in that The complaint analysis module comprises: A complaint quantity recording program is used to count the multiple complaint data received by the customer service system to obtain the number of complaints; A complaint content recording module, used to record the complaint contents of the plurality of complaint data to obtain a plurality of complaint contents; The room temperature data recording module is used to receive the room temperature data sent by multiple room temperature analysis modules to obtain multiple room temperature data, wherein the multiple room temperature data correspond one-to-one to the multiple complaint data.

3. The system according to claim 2, characterized in that The complaint analysis module is also used for: Comparing the multiple room temperature data with the standard temperature data to obtain multiple comparison results; Determine the complaint data whose comparison result indicates that the room temperature data is higher than the standard temperature data as invalid complaint data, and determine the complaint data whose comparison result indicates that the room temperature data is lower than the standard temperature data as valid complaint data; Perform complaint category analysis on the valid complaint data to obtain a classification result, wherein the analysis result at least includes: the invalid complaint data, the valid complaint data and the classification result.

4. The system according to claim 3, characterized in that The complaint disassembly module includes: An invalid complaint recording module, used for recording the invalid complaint data and the first object identifier corresponding to the invalid complaint data; An effective complaint recording module, used for recording the effective complaint data, the classification result and the second object identifier corresponding to the effective complaint data; A user complaint record module is connected to the invalid complaint record module and the valid complaint record module respectively, and is used to count the number of complaints about the multiple objects according to object identifiers to obtain the number of valid complaints about the multiple objects, wherein the object identifiers include the first object identifier and the second object identifier.

5. The system according to claim 4, characterized in that The complaint quantification module is also used for: Determine the first object with the largest number of valid complaints among the multiple objects as the maximum complaint object, and set the object satisfaction rate of the maximum complaint object to a first value; and determine the second object with the smallest number of valid complaints among the multiple objects as the minimum complaint object, and set the object satisfaction rate of the minimum complaint object to a second value; The object satisfaction rates of the multiple objects are determined according to the first value, the second value, the number of valid complaints of the multiple objects, and the number of valid complaints of the largest complaint object.

6. The system according to claim 5, characterized in that The complaint quantification module is also used for: The area satisfaction rate of the target area is determined according to the object satisfaction rates of the multiple objects.

7. A method for determining object satisfaction rate, characterized in that: The system applied to any one of claims 1 to 6, comprising: Performing a comprehensive analysis on the plurality of complaint data in the target area to obtain the analysis result; Disassembling the analysis result to obtain the complaint disassembly information; The object satisfaction rates of the multiple objects are determined according to the complaint disassembly information.

8. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a stored program, wherein the program executes the method of claim 7 when executed.

9. An electronic device comprising a memory and a processor, characterized in that: A computer program is stored in the memory, and the processor is configured to execute the method of claim 7 through the computer program.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to claim 7 are implemented.

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