CN114880333A

CN114880333A - Product data analysis method and device, storage medium and electronic equipment

Info

Publication number: CN114880333A
Application number: CN202210811756.9A
Authority: CN
Inventors: 周伟国
Original assignee: Chuangyingjun Network Technology Shenzhen Co ltd
Current assignee: Chuangyingjun Network Technology Shenzhen Co ltd
Priority date: 2022-07-12
Filing date: 2022-07-12
Publication date: 2022-08-09

Abstract

The application discloses a product data analysis method and device, a storage medium and electronic equipment. The product data analysis method comprises the steps of obtaining target data of each e-commerce platform; analyzing the target data to supplement the local basic data to the target data and generate intermediate data; acquiring keyword information of the intermediate data; matching the intermediate data with a local problem classification list according to the keyword information to generate a problem data form; unifying the subject format of the problem data form to generate a subject data form; and adjusting the theme data form according to preset requirements to generate a display data form. The scheme can improve the efficiency of product data analysis.

Description

Product data analysis method and device, storage medium and electronic equipment

Technical Field

The application relates to the technical field of e-commerce, in particular to product data analysis, a device, a storage medium and electronic equipment.

Background

At present, each e-commerce platform background system has a function of providing simple data analysis and various small tools, but aims at the current e-commerce platform and a few data sources, and the operating personnel can improve the working efficiency to a certain extent.

However, with the increase of e-commerce platforms, the working efficiency becomes a bottleneck, operators need to log in each platform background one by one to see various data, and the efficiency of product data analysis is slow.

Disclosure of Invention

The application provides a product data analysis method, a product data analysis device, a storage medium and an electronic device, which can improve the efficiency of product data analysis.

In a first aspect, the present application provides a product data analysis method, including:

acquiring target data of each e-commerce platform;

analyzing the target data to supplement local basic data to the target data and generate intermediate data;

acquiring keyword information of the intermediate data;

matching the intermediate data with a local problem classification list according to the keyword information to generate a problem data form;

unifying the subject formats of the problem data forms to generate a subject data form;

and adjusting the theme data form according to preset requirements to generate a display data form.

In the product data analysis method provided in the embodiment of the present application, before the obtaining target data of each e-commerce platform, the method further includes:

acquiring an API (application programming interface) of each e-commerce platform;

the acquiring of the target data of each e-commerce platform includes:

and acquiring target data of each E-commerce platform through the API.

In the product data analysis method provided in the embodiment of the present application, the analyzing the target data to supplement the target data with local basic data and generate intermediate data includes:

analyzing the target data and determining the type of the target data;

and supplementing corresponding local basic data to the target data according to the type of the target data to generate the intermediate data.

In the product data analysis method provided in the embodiment of the present application, the obtaining target data of each e-commerce platform through the API interface includes:

and acquiring target data of each E-commerce platform through the API every preset time period.

In a second aspect, an embodiment of the present application provides a product data analysis apparatus, including:

the first acquisition unit is used for acquiring target data of each E-commerce platform;

the data analysis unit is used for analyzing the target data so as to supplement local basic data to the target data and generate intermediate data;

a second acquisition unit configured to acquire keyword information of the intermediate data;

the question matching unit is used for matching the intermediate data with a local question classification list according to the keyword information so as to generate a question data form;

the format unifying unit is used for unifying the subject format of the problem data form to generate a subject data form;

and the data adjusting unit is used for adjusting the theme data form according to preset requirements to generate a display data form.

In the product data analysis device provided in the embodiment of the present application, the product data analysis device further includes:

and the third acquisition unit is used for acquiring the API (application program interface) of each E-commerce platform.

In the product data analysis device provided in the embodiment of the present application, the data analysis unit is configured to:

analyzing the target data and determining the type of the target data;

In the product data analysis device provided in the embodiment of the present application, the third obtaining unit is configured to:

In a third aspect, the present application provides a storage medium storing a plurality of instructions, where the instructions are suitable for being loaded by a processor to perform the steps in the product data analysis method or the decryption method provided in any one of the embodiments of the present application.

In a fourth aspect, the present application provides an electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the product data analysis or decryption method according to any one of the embodiments of the present application.

The product data analysis method provided by the application obtains target data of each E-commerce platform; analyzing the target data to supplement local basic data to the target data and generate intermediate data; acquiring keyword information of the intermediate data; matching the intermediate data with a local problem classification list according to the keyword information to generate a problem data form; unifying the subject format of the problem data form to generate a subject data form; and adjusting the theme data form according to preset requirements to generate a display data form. The scheme can improve the efficiency of product data analysis.

Drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.

Fig. 1 is a schematic flow chart of a product data analysis method according to an embodiment of the present application.

Fig. 2 is a schematic structural diagram of a product data analysis apparatus according to an embodiment of the present application.

Fig. 3 is a schematic structural diagram of a server according to an embodiment of the present application.

Fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present application.

Detailed Description

The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.

The terms "first" and "second", etc. in this application are used to distinguish between different objects and not to describe a particular order. Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or modules is not limited to the listed steps or modules but may alternatively include other steps or modules not listed or inherent to such process, method, article, or apparatus.

Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.

The product data analysis method and the product data analysis device according to the present application may be provided in any electronic device. The electronic devices include, but are not limited to, wearable devices, head-worn devices, medical health platforms, personal computers, server computers, hand-held or laptop devices, mobile devices (such as mobile phones, Personal Digital Assistants (PDAs), media players, and the like), multiprocessor systems, consumer electronics, minicomputers, mainframe computers, distributed computing environments that include any of the above systems or devices, and the like.

Next, a method, an apparatus, a storage medium, and an electronic device for product data analysis according to embodiments of the present application will be described.

Referring to fig. 1, fig. 1 is a schematic flow chart of a product data analysis method according to an embodiment of the present application. The product data analysis method of the present embodiment can be implemented using the electronic device described above. The specific flow of the product data analysis method can be as follows:

101. and acquiring target data of each E-commerce platform.

In some embodiments, the API interface of each e-commerce platform may be obtained first, and then the target data of each e-commerce platform may be obtained through the API interface.

In some embodiments, the target data of each e-commerce platform may be acquired through the API interface every preset time period. It should be noted that the preset time period may be set according to actual situations. Such as 12 hours, 24 hours, 48 hours, etc.

The type of the target data may include order type data, return type data, feedback/complaint type data, and the like.

102. And analyzing the target data to supplement the local basic data to the target data and generate intermediate data.

Specifically, the target data can be analyzed to determine the type of the target data; and supplementing corresponding local basic data to the target data according to the type of the target data to generate intermediate data.

103. And acquiring the keyword information of the intermediate data.

104. And matching the intermediate data with a local question classification list according to the keyword information to generate a question data form.

105. And unifying the subject formats of the problem data forms to generate the subject data forms.

Specifically, the big data program can be unified in format according to the type of the data.

106. And adjusting the theme data form according to preset requirements to generate a display data form.

In particular, the user data creation program may generate a presentation data form for presentation on the interface based on the subject data form and the data dimensions and required data items desired by the user.

It is understood that the preset requirement is a data dimension desired by the user and a required data item.

In summary, the product data analysis method provided by the embodiment of the application includes the steps of obtaining target data of each e-commerce platform; analyzing the target data to supplement the local basic data to the target data and generate intermediate data; acquiring keyword information of the intermediate data; matching the intermediate data with a local problem classification list according to the keyword information to generate a problem data form; unifying the subject format of the problem data form to generate a subject data form; and adjusting the theme data form according to preset requirements to generate a display data form. The data of each platform can be automatically analyzed without manual analysis, and then the efficiency of product data analysis can be improved.

An embodiment of the present application further provides a product data analysis device, as shown in fig. 2, fig. 2 is a schematic structural diagram of the product data analysis device provided in the embodiment of the present application. The product data analysis apparatus 200 may include:

a first obtaining unit 201, configured to obtain target data of each e-commerce platform.

The data parsing unit 202 is configured to parse the target data to supplement the local basic data to the target data, and generate intermediate data.

A second obtaining unit 203 for obtaining the keyword information of the intermediate data.

And the question matching unit 204 is used for matching the intermediate data with the local question classification list according to the keyword information so as to generate a question data form.

And the format unifying unit 205 is configured to unify the subject formats of the question data forms to generate a subject data form.

And the data adjusting unit 206 is configured to adjust the theme data form according to preset requirements, and generate a display data form.

In some embodiments, the product data analysis device 200 may further include:

and the third acquisition unit is used for acquiring the API (application programming interface) of each E-commerce platform.

In some embodiments, the data parsing unit 202 may be configured to:

analyzing the target data and determining the type of the target data;

and supplementing corresponding local basic data to the target data according to the type of the target data to generate intermediate data.

In some embodiments, the third obtaining unit may be configured to obtain the target data of each e-commerce platform through the API interface every preset time period.

In summary, the product data analysis device 200 provided in the embodiment of the present application acquires target data of each e-commerce platform through the first acquisition unit 201. The target data is parsed by the data parsing unit 202 to supplement the local basic data to the target data, generating intermediate data. The keyword information of the intermediate data is acquired by the second acquisition unit 203. The intermediate data is matched with the local question classification list by the question matching unit 204 according to the keyword information to generate a question data form. The format unifying unit 205 unifies the subject format of the question data form to generate a subject data form. The data adjusting unit 206 adjusts the theme data form according to preset requirements to generate a display data form. The scheme can improve the efficiency of product data analysis.

The embodiment of the present application further provides a server, as shown in fig. 3, which shows a schematic structural diagram of the server according to the embodiment of the present application, specifically:

the server may include components such as a processor 301 of one or more processing cores, memory 302 of one or more computer-readable storage media, a power supply 303, and an input unit 304. Those skilled in the art will appreciate that the server architecture shown in FIG. 3 is not meant to be limiting, and may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components. Wherein:

the processor 301 is a control center of the server, connects various parts of the entire server using various interfaces and lines, and performs various functions of the server and processes data by running or executing software programs and/or modules stored in the memory 302 and calling data stored in the memory 302, thereby performing overall monitoring of the server. Optionally, processor 301 may include one or more processing cores; preferably, the processor 301 may integrate an application processor, which mainly handles operating systems, user interfaces, application programs, etc., and a modem processor, which mainly handles wireless communications. It will be appreciated that the modem processor described above may not be integrated into the processor 301.

The memory 302 may be used to store software programs and modules, and the processor 301 executes various functional applications and product data analysis by operating the software programs and modules stored in the memory 302. The memory 302 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application program required by at least one function (such as a sound playing function, an image playing function, etc.), and the like; the storage data area may store data created according to the use of the server, and the like. Further, the memory 302 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid state storage device. Accordingly, the memory 302 may also include a memory controller to provide the processor 301 with access to the memory 302.

The server further includes a power supply 303 for supplying power to the various components, and preferably, the power supply 303 may be logically connected to the processor 301 through a power management system, so as to implement functions of managing charging, discharging, and power consumption through the power management system. The power supply 303 may also include any component of one or more dc or ac power sources, recharging systems, power failure detection circuitry, power converters or inverters, power status indicators, and the like.

The server may also include an input unit 304, the input unit 304 being operable to receive input numeric or character information and generate keyboard, mouse, joystick, optical or trackball signal inputs related to user settings and function control.

Although not shown, the server may further include a display unit and the like, which will not be described in detail herein. Specifically, in this embodiment, the processor 301 in the server loads the executable file corresponding to the process of one or more application programs into the memory 302 according to the following instructions, and the processor 301 runs the application programs stored in the memory 302, thereby implementing various functions as follows:

acquiring target data of each e-commerce platform;

analyzing the target data to supplement the local basic data to the target data and generate intermediate data;

acquiring keyword information of the intermediate data;

unifying the subject format of the problem data form to generate a subject data form;

The above operations can be specifically referred to the previous embodiments, and are not described herein.

Accordingly, an electronic device according to an embodiment of the present disclosure may include, as shown in fig. 4, a Radio Frequency (RF) circuit 401, a memory 402 including one or more computer-readable storage media, an input unit 403, a display unit 404, a sensor 405, an audio circuit 406, a Wireless Fidelity (WiFi) module 407, a processor 408 including one or more processing cores, and a power supply 409. Those skilled in the art will appreciate that the electronic device configuration shown in fig. 4 does not constitute a limitation of the electronic device and may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components. Wherein:

the RF circuit 401 may be used for receiving and transmitting signals during a message transmission or communication process, and in particular, for receiving downlink information from a base station and then processing the received downlink information by the one or more processors 408; in addition, data relating to uplink is transmitted to the base station. In general, the RF circuitry 401 includes, but is not limited to, an antenna, at least one Amplifier, a tuner, one or more oscillators, a Subscriber Identity Module (SIM) card, a transceiver, a coupler, a Low Noise Amplifier (LNA), a duplexer, and the like. In addition, the RF circuitry 401 may also communicate with networks and other devices via wireless communications. The wireless communication may use any communication standard or protocol, including but not limited to Global System for Mobile communications (GSM), General Packet Radio Service (GPRS), Code Division Multiple Access (CDMA), Wideband Code Division Multiple Access (WCDMA), Long Term Evolution (LTE), email, Short Message Service (SMS), and the like.

The memory 402 may be used to store software programs and modules, and the processor 408 may execute various functional applications and product data analysis by executing the software programs and modules stored in the memory 402. The memory 402 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application program required by at least one function (such as a sound playing function, an image playing function, etc.), and the like; the storage data area may store data (such as audio data, a phone book, etc.) created according to the use of the electronic device, and the like. Further, the memory 402 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid state storage device. Accordingly, the memory 402 may also include a memory controller to provide the processor 408 and the input unit 403 access to the memory 402.

The input unit 403 may be used to receive input numeric or character information and generate keyboard, mouse, joystick, optical or trackball signal inputs related to user settings and function control. In particular, in a particular embodiment, the input unit 403 may include a touch-sensitive surface as well as other input devices. The touch-sensitive surface, also referred to as a touch display screen or a touch pad, may collect touch operations by a user (e.g., operations by a user on or near the touch-sensitive surface using a finger, a stylus, or any other suitable object or attachment) thereon or nearby, and drive the corresponding connection device according to a predetermined program. Alternatively, the touch sensitive surface may comprise two parts, a touch detection means and a touch controller. The touch detection device detects the touch direction of a user, detects a signal brought by touch operation and transmits the signal to the touch controller; the touch controller receives touch information from the touch sensing device, converts it to touch point coordinates, and sends the touch point coordinates to the processor 408, and can receive and execute commands from the processor 408. In addition, touch sensitive surfaces may be implemented using various types of resistive, capacitive, infrared, and surface acoustic waves. The input unit 403 may include other input devices in addition to the touch-sensitive surface. In particular, other input devices may include, but are not limited to, one or more of a physical keyboard, function keys (such as volume control keys, switch keys, etc.), a trackball, a mouse, a joystick, and the like.

The display unit 404 may be used to display information input by or provided to a user and various graphical user interfaces of the electronic device, which may be made up of graphics, text, icons, video, and any combination thereof. The Display unit 404 may include a Display panel, and optionally, the Display panel may be configured in the form of a Liquid Crystal Display (LCD), an Organic Light-Emitting Diode (OLED), or the like. Further, the touch-sensitive surface may overlay the display panel, and when a touch operation is detected on or near the touch-sensitive surface, the touch operation is transmitted to the processor 408 to determine the type of touch event, and then the processor 408 provides a corresponding visual output on the display panel according to the type of touch event. Although in FIG. 4 the touch-sensitive surface and the display panel are shown as two separate components to implement input and output functions, in some embodiments the touch-sensitive surface may be integrated with the display panel to implement input and output functions.

The electronic device may also include at least one sensor 405, such as a light sensor, motion sensor, and other sensors. In particular, the light sensor may include an ambient light sensor that may adjust the brightness of the display panel according to the brightness of ambient light, and a proximity sensor that may turn off the display panel and/or the backlight when the electronic device is moved to the ear. As one of the motion sensors, the gravity acceleration sensor can detect the magnitude of acceleration in each direction (generally, three axes), can detect the magnitude and direction of gravity when the motion sensor is stationary, can be used for applications of recognizing the posture of the electronic device (such as horizontal and vertical screen switching, related games, magnetometer posture calibration), vibration recognition related functions (such as pedometer and tapping), and the like, and can also be configured with other sensors such as a gyroscope, a barometer, a hygrometer, a thermometer, an infrared sensor, and the like, and further description is omitted here.

Audio circuitry 406, a speaker, and a microphone may provide an audio interface between the user and the electronic device. The audio circuit 406 may transmit the electrical signal converted from the received audio data to a speaker, and convert the electrical signal into a sound signal for output; on the other hand, the microphone converts the collected sound signal into an electrical signal, which is received by the audio circuit 406 and converted into audio data, which is then processed by the audio data output processor 408, and then passed through the RF circuit 401 to be sent to, for example, another electronic device, or output to the memory 402 for further processing. The audio circuitry 406 may also include an earbud jack to provide communication of a peripheral headset with the electronic device.

WiFi belongs to short distance wireless transmission technology, and the electronic device can help the user send and receive e-mail, browse web page and access streaming media, etc. through the WiFi module 407, which provides wireless broadband internet access for the user. Although fig. 4 shows the WiFi module 407, it is understood that it does not belong to the essential constitution of the electronic device, and may be omitted entirely as needed within the scope not changing the essence of the invention.

The processor 408 is a control center of the electronic device, connects various parts of the entire electronic device using various interfaces and lines, performs various functions of the electronic device and processes data by operating or executing software programs and/or modules stored in the memory 402 and calling data stored in the memory 402, thereby performing overall monitoring of the electronic device. Optionally, processor 408 may include one or more processing cores; preferably, the processor 408 may integrate an application processor, which handles primarily the operating system, user interface, applications, etc., and a modem processor, which handles primarily the wireless communications. It will be appreciated that the modem processor described above may not be integrated into the processor 408.

The electronic device also includes a power source 409 (e.g., a battery) for powering the various components, which may preferably be logically coupled to the processor 408 via a power management system to manage charging, discharging, and power consumption via the power management system. The power supply 409 may also include any component of one or more dc or ac power sources, recharging systems, power failure detection circuitry, power converters or inverters, power status indicators, and the like.

Although not shown, the electronic device may further include a camera, a bluetooth module, and the like, which are not described in detail herein. Specifically, in this embodiment, the processor 408 in the electronic device loads the executable file corresponding to the process of one or more application programs into the memory 402 according to the following instructions, and the processor 408 runs the application programs stored in the memory 402, thereby implementing various functions:

acquiring target data of each e-commerce platform;

acquiring keyword information of the intermediate data;

It will be understood by those skilled in the art that all or part of the steps of the methods of the above embodiments may be performed by instructions or by associated hardware controlled by the instructions, which may be stored in a computer readable storage medium and loaded and executed by a processor.

To this end, the present application provides a storage medium, in which a plurality of instructions are stored, and the instructions can be loaded by a processor to execute the steps in any one of the product data analysis methods provided in the present application. For example, the instructions may perform the steps of:

acquiring target data of each e-commerce platform;

acquiring keyword information of the intermediate data;

The above operations can be implemented in the foregoing embodiments, and are not described in detail herein.

Wherein the storage medium may include: read Only Memory (ROM), Random Access Memory (RAM), magnetic or optical disks, and the like.

Since the instructions stored in the storage medium can execute the steps in any product data analysis method provided in the embodiments of the present application, beneficial effects that can be achieved by any product data analysis method provided in the embodiments of the present application can be achieved, which are detailed in the foregoing embodiments and will not be described herein again.

The product data analysis method, the device, the storage medium and the electronic device provided by the embodiment of the present application are described in detail above, a specific example is applied in the present application to explain the principle and the implementation of the present application, and the description of the above embodiment is only used to help understand the method and the core idea of the present application; meanwhile, for those skilled in the art, according to the idea of the present application, the specific implementation manner and the application scope may be changed, and in summary, the content of the present specification should not be construed as a limitation to the present application.

Claims

1. A method of product data analysis, comprising:

acquiring target data of each e-commerce platform;

acquiring keyword information of the intermediate data;

2. The product data analysis method of claim 1, further comprising, prior to the obtaining target data for each e-commerce platform:

the acquiring of the target data of each e-commerce platform includes:

and acquiring target data of each E-commerce platform through the API.

3. The product data analysis method of claim 1, wherein the parsing the target data to supplement the target data with local base data to generate intermediate data comprises:

analyzing the target data and determining the type of the target data;

4. The product data analysis method of claim 2, wherein the obtaining target data of each e-commerce platform through the API interface comprises:

and acquiring target data of each E-commerce platform through the API every other preset time period.

5. A product data analysis apparatus, comprising:

6. The product data analysis device of claim 5, further comprising:

7. The product data analysis device of claim 5, wherein the data parsing unit is to:

analyzing the target data and determining the type of the target data;

8. The product data analysis device of claim 6, wherein the third acquisition unit is to:

9. A storage medium storing a plurality of instructions adapted to be loaded by a processor to perform the product data analysis method of any one of claims 1-4.

10. An electronic device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the processor implements the product data analysis method of any one of claims 1-4 when executing the computer program.