阅读说明：本技术 用户体验分析预警方法及装置 (User experience analysis early warning method and device ) 是由 王栋梁 王天 于 2021-09-03 设计创作，主要内容包括：本发明公开了一种用户体验分析预警方法及装置,应用于大数据领域,其中该方法包括：获取互联网中关于一APP的评论,得到待分析评论数据；将待分析评论数据输入用户体验分析模型,输出待分析评论数据对应的用户体验分析结果数据；其中,用户体验分析结果数据包括由用户评论分析出的APP问题数据；用户体验分析模型是根据历史评论数据和对应的历史用户体验分析结果数据,对机器学习模型进行训练而得到的；根据待分析评论数据对应的用户体验分析结果数据,输出用户体验分析预警报告。本发明可以输出较为准确的用户体验分析预警报告,以便于准确定位APP的问题,方便维护人员解决APP的问题,提高用户对APP的用户体验。(The invention discloses a method and a device for analyzing and early warning user experience, which are applied to the field of big data, wherein the method comprises the following steps: obtaining comments about an APP in the Internet to obtain comment data to be analyzed; inputting comment data to be analyzed into a user experience analysis model, and outputting user experience analysis result data corresponding to the comment data to be analyzed; the user experience analysis result data comprises APP problem data analyzed by user comments; the user experience analysis model is obtained by training the machine learning model according to the historical comment data and the corresponding historical user experience analysis result data; and outputting a user experience analysis early warning report according to the user experience analysis result data corresponding to the comment data to be analyzed. The method and the device can output the relatively accurate user experience analysis early warning report so as to accurately position the problem of the APP, facilitate maintenance personnel to solve the problem of the APP and improve the user experience of the user to the APP.)

1. A user experience analysis early warning method is characterized by comprising the following steps:

obtaining comments about an APP in the Internet to obtain comment data to be analyzed, wherein the comment data to be analyzed comprises: the content of user comments, the model of the release mobile phone, the release time and the release APP version;

inputting comment data to be analyzed into a user experience analysis model, and outputting user experience analysis result data corresponding to the comment data to be analyzed; the user experience analysis result data comprises APP problem data analyzed by user comments; the user experience analysis model is obtained by training a machine learning model according to historical comment data and corresponding historical user experience analysis result data; the historical review data includes: the method comprises the steps of obtaining the content of user historical comments, the model of a released mobile phone, the releasing time and the released APP version;

and outputting a user experience analysis early warning report according to user experience analysis result data corresponding to the comment data to be analyzed, wherein the user experience analysis early warning report comprises APP problem data, the release mobile phone model of the user comment, release time and release APP version.

2. The method of claim 1, wherein obtaining comments about an APP in the internet to obtain comment data to be analyzed comprises:

obtaining comments about an APP in the Internet by one or any combination of the following modes to obtain comment data to be analyzed:

web page analysis, json message analysis, exe analysis and UI interface content analysis of APP.

3. The method of claim 1, wherein obtaining comments about an APP in the internet to obtain comment data to be analyzed comprises:

and obtaining comments about an APP in the internet according to the comment data acquisition time and/or acquisition period defined by the user to obtain comment data to be analyzed.

4. The method of claim 1, wherein the user experience analysis result data and the user experience analysis early warning report further comprise one or any combination of the following data:

the user opinion extracted from the user comment, the emotion analysis result of the user comment, and the keyword extracted from the user comment.

5. The method of claim 4, further comprising:

when the emotion analysis result of the user comment shows that the speed of the negative user comment exceeds a first threshold value, sending out an early warning prompt;

and/or, when the comment speed of the users related to the same user viewpoint exceeds a second threshold value, sending out an early warning reminder.

6. The method of claim 5, wherein issuing an early warning alert comprises:

and sending out early warning reminding in a mail mode.

7. The method of any of claims 1 to 6, further comprising:

receiving a request for classifying and exporting comment data submitted by a user;

and classifying and exporting the comment data concerned by the user according to the request.

8. A user experience analysis early warning device, comprising:

the comment acquisition module is used for acquiring comments about an APP in the Internet and obtaining comment data to be analyzed, wherein the comment data to be analyzed comprise: the content of user comments, the model of the release mobile phone, the release time and the release APP version;

the analysis module is used for inputting the comment data to be analyzed into the user experience analysis model and outputting user experience analysis result data corresponding to the comment data to be analyzed; the user experience analysis result data comprises APP problem data analyzed by user comments; the user experience analysis model is obtained by training a machine learning model according to historical comment data and corresponding historical user experience analysis result data; the historical review data includes: the method comprises the steps of obtaining the content of user historical comments, the model of a released mobile phone, the releasing time and the released APP version;

and the early warning report module is used for outputting a user experience analysis early warning report according to user experience analysis result data corresponding to the comment data to be analyzed, wherein the user experience analysis early warning report comprises APP problem data, a mobile phone model for releasing the user comment, a release time and an APP release version.

9. The apparatus of claim 8, wherein the get comments module is specifically configured to:

obtaining comments about an APP in the Internet by one or any combination of the following modes to obtain comment data to be analyzed:

web page analysis, json message analysis, exe analysis and UI interface content analysis of APP.

10. The apparatus of claim 8, wherein the get comments module is specifically configured to:

and obtaining comments about an APP in the internet according to the comment data acquisition time and/or acquisition period defined by the user to obtain comment data to be analyzed.

11. The apparatus of claim 8, wherein the user experience analysis result data and the user experience analysis early warning report further comprise one or any combination of the following data:

the user opinion extracted from the user comment, the emotion analysis result of the user comment, and the keyword extracted from the user comment.

12. The apparatus of claim 11, further comprising:

the early warning reminding module is used for sending out early warning reminding when the emotion analysis result of the user comment shows that the speed increase of the negative user comment exceeds a first threshold value; and/or, when the comment speed of the users related to the same user viewpoint exceeds a second threshold value, sending out an early warning reminder.

13. The apparatus of claim 12, wherein the early warning module is specifically configured to:

and sending out early warning reminding in a mail mode.

14. The apparatus of any of claims 8 to 13, further comprising:

the receiving module is used for receiving a request for classifying and exporting comment data submitted by a user;

and the classification module is used for classifying and exporting the comment data concerned by the user according to the request.

15. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the method of any one of claims 1 to 7 when executing the computer program.

16. A computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program for executing the method of any one of claims 1 to 7.

Technical Field

The invention relates to the field of big data, in particular to a user experience analysis early warning method and device.

Background

This section is intended to provide a background or context to the embodiments of the invention that are recited in the claims. The description herein is not admitted to be prior art by inclusion in this section.

With the improvement of life quality, people pursue the user experience of the APP more and more. At present, APP users experience few testers, coverage is narrow, and the types of the testers are single, so that a test result cannot represent user experience of all people. When the omission appears in the APP test, the problem of explosion often influences the face extensively, and the influence time is long, and the loss that causes the image of enterprise is very big.

Therefore, how to accurately position the APP so as to quickly solve the problem of the APP and improve the user experience of the user on the APP is a problem which needs to be solved urgently at present.

Disclosure of Invention

The embodiment of the invention provides a user experience analysis early warning method, which is used for solving the problem that tests are easy to miss due to the fact that APP user experience testing personnel are few, coverage is narrow, and types of the testing personnel are single, and comprises the following steps:

obtaining comments about an APP in the Internet to obtain comment data to be analyzed, wherein the comment data to be analyzed comprises: the content of user comments, the model of the release mobile phone, the release time and the release APP version;

inputting comment data to be analyzed into a user experience analysis model, and outputting user experience analysis result data corresponding to the comment data to be analyzed; the user experience analysis result data comprises APP problem data analyzed by user comments; the user experience analysis model is obtained by training a machine learning model according to historical comment data and corresponding historical user experience analysis result data; the historical review data includes: the method comprises the steps of obtaining the content of user historical comments, the model of a released mobile phone, the releasing time and the released APP version;

and outputting a user experience analysis early warning report according to user experience analysis result data corresponding to the comment data to be analyzed, wherein the user experience analysis early warning report comprises APP problem data, the release mobile phone model of the user comment, release time and release APP version.

The embodiment of the invention also provides a user experience analysis early warning device, which is used for solving the problem that the omission of the test is easy to occur due to few APP user experience testers, narrow coverage and single tester type, and comprises the following steps:

the comment acquisition module is used for acquiring comments about an APP in the Internet and obtaining comment data to be analyzed, wherein the comment data to be analyzed comprise: the content of user comments, the model of the release mobile phone, the release time and the release APP version;

the analysis module is used for inputting the comment data to be analyzed into the user experience analysis model and outputting user experience analysis result data corresponding to the comment data to be analyzed; the user experience analysis result data comprises APP problem data analyzed by user comments; the user experience analysis model is obtained by training a machine learning model according to historical comment data and corresponding historical user experience analysis result data; the historical review data includes: the method comprises the steps of obtaining the content of user historical comments, the model of a released mobile phone, the releasing time and the released APP version;

and the early warning report module is used for outputting a user experience analysis early warning report according to user experience analysis result data corresponding to the comment data to be analyzed, wherein the user experience analysis early warning report comprises APP problem data, a mobile phone model for releasing the user comment, a release time and an APP release version.

The embodiment of the invention also provides computer equipment which comprises a memory, a processor and a computer program which is stored on the memory and can run on the processor, wherein the processor realizes the user experience analysis early warning method when executing the computer program.

An embodiment of the present invention further provides a computer-readable storage medium, where a computer program for executing the user experience analysis early warning method is stored in the computer-readable storage medium.

In the embodiment of the invention, comments about APP in the Internet are obtained, a user experience analysis model is input, and user experience analysis result data is output; according to user experience analysis result data, outputting a user experience analysis early warning report, comparing with the technical scheme of testing user experience by testers in the prior art, and outputting a relatively accurate user experience analysis early warning report by a mode of combining the obtained comment, the user experience analysis model and the user experience analysis early warning report so as to accurately position the problem of the APP, facilitate the maintenance personnel to solve the problem of the APP and improve the user experience of the user to the APP.

Drawings

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts. In the drawings:

FIG. 1 is a flowchart of a method for analyzing and warning user experience according to an embodiment of the present invention;

FIG. 2 is a flowchart illustrating an embodiment of a method for analyzing and warning user experience according to the present invention;

FIG. 3 is a flowchart illustrating an embodiment of a method for analyzing and warning user experience according to the present invention;

FIG. 4 is a schematic structural diagram of a user experience analysis early warning apparatus according to an embodiment of the present invention;

FIG. 5 is a schematic structural diagram of an embodiment of a user experience analyzing and warning apparatus according to the present invention;

fig. 6 is a schematic structural diagram of an embodiment of a user experience analysis early warning apparatus according to the present invention.

Detailed Description

In order to make the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the embodiments of the present invention are further described in detail below with reference to the accompanying drawings. The exemplary embodiments and descriptions of the present invention are provided to explain the present invention, but not to limit the present invention.

Currently, there are many evaluation systems on the network, such as large Application markets, on which users can post comments on APPs (applications). If the evaluations can be collected and integrated to obtain the analysis that different mobile phone models correspond to different APP versions, the requirements of the user can be known, and the user can learn and take remedial measures in time at the first time when the problem occurs.

In order to achieve the situation, the problem of accurately positioning the APP is achieved by combining the obtained comment, the user experience analysis model and the user experience analysis early warning report. Fig. 1 is a flowchart of a user experience analysis early warning method in an embodiment of the present invention. As shown in fig. 1, the method for analyzing and warning user experience in the embodiment of the present invention may include:

step 101, obtaining comments about an APP in the Internet to obtain comment data to be analyzed, wherein the comment data to be analyzed comprises: the content of user comments, the model of the release mobile phone, the release time and the release APP version;

step 102, inputting comment data to be analyzed into a user experience analysis model, and outputting user experience analysis result data corresponding to the comment data to be analyzed; the user experience analysis result data comprises APP problem data analyzed by user comments; the user experience analysis model is obtained by training the machine learning model according to the historical comment data and the corresponding historical user experience analysis result data; the historical review data includes: the method comprises the steps of obtaining the content of user historical comments, the model of a released mobile phone, the releasing time and the released APP version;

and 103, outputting a user experience analysis early warning report according to user experience analysis result data corresponding to the comment data to be analyzed, wherein the user experience analysis early warning report comprises APP problem data, the release mobile phone model of the user comment, release time and release APP version.

As can be known from the flow shown in fig. 1, the user experience analysis early warning method according to the embodiment of the present invention is different from the technical scheme of testing user experience by a tester in the prior art, and can realize accurate positioning of an APP by combining the comment acquisition, the user experience analysis model, and the user experience analysis early warning report, so that a maintainer can conveniently solve the APP problem, and user experience of a user on the APP is improved.

In one embodiment, comments about an APP in the internet are obtained, and comment data to be analyzed is obtained, where the comment data to be analyzed includes: the content, the published mobile phone model, the published time and the published APP version of the user comment can be as follows: in an APP mall, obtaining comments about an APP in the internet, and obtaining comment data about the APP as comment data to be analyzed, wherein the comment data to be analyzed include: the content of user's comment, release cell-phone model, release moment, release APP version, for example, in APP mall, obtain the comment about an APP in the internet, obtain waiting to analyze the comment data, wherein, waiting to analyze the comment data and include: the APP is smooth in use, is P30 in China, is in six months and one day in 2020, and is in the 6.1 version.

In one embodiment, obtaining comments about an APP in the internet to obtain comment data to be analyzed may include: obtaining comments about an APP in the Internet by one or any combination of the following modes to obtain comment data to be analyzed: web page analysis, json message analysis, exe analysis and UI interface content analysis of APP. For example, a comment about an APP in the internet is obtained through Web page parsing.

In one embodiment, obtaining comments about an APP in the internet to obtain comment data to be analyzed may include: and obtaining comments about an APP in the internet according to the comment data acquisition time and/or acquisition period defined by the user to obtain comment data to be analyzed. For example, according to the fact that the comment data collection time defined by a user is eight to thirteen points of a day, comments about the APP in the time period from eight to thirteen points of the day in the internet are obtained, and comment data to be analyzed are obtained.

In one embodiment, for step 102, it may be: inputting comment data to be analyzed into a user experience analysis model, and outputting user experience analysis result data corresponding to the comment data to be analyzed; the user experience analysis result data comprises APP problem data analyzed by user comments, and the APP problem data can be data about APP problems such as APP flash back, APP unsmooth operation, and unreasonable APP page layout; the user experience analysis model is obtained by training the machine learning model according to the historical comment data and the corresponding historical user experience analysis result data; the historical review data includes: the method comprises the following steps of content of historical comments of a user, a published mobile phone model, a published time and a published APP version, wherein for example, APP is smooth in use or easy to flash back, Hua is P30 or millet 6, June and Sunday in 2018, and the APP version is 7.3.1.

In one embodiment, for step 103, it may be: according to user experience analysis result data corresponding to comment data to be analyzed, outputting a user experience analysis early warning report, wherein the analysis early warning report can refer to APP problem data sorted according to APP versions and published mobile phone models, the user experience analysis early warning report comprises the APP problem data, published mobile phone models of user comments, published moments and published APP versions, for example, the user experience analysis early warning report can comprise that an APP login button cannot be clicked, millet 10 is 10, 2021 is six months and a day, and the APP version is 4.3.

In one embodiment, the user experience analysis result data and the user experience analysis early warning report further include one or any combination of the following data: the user viewpoint extracted from the user comment, the emotion analysis result of the user comment, and the keyword extracted from the user comment, for example, the user comment "i will have a situation of going backwards in flash each time i use APP", and the user viewpoint extracted "goes backwards in flash".

Fig. 2 is a flowchart of an embodiment of a method for analyzing and warning user experience according to the present invention. As shown in fig. 2, the method for analyzing and warning user experience in the embodiment of the present invention may include:

step 201, when the emotion analysis result of the user comment shows that the speed of the negative user comment exceeds a first threshold value, sending out an early warning prompt; and/or, when the comment speed of the users related to the same user viewpoint exceeds a second threshold value, sending out an early warning reminder.

In one embodiment, when the emotion analysis result of the user comment indicates that the negative user comment speed-up exceeds a first threshold, the sending of the early warning reminder may be: when the emotion analysis result of the user comment shows that the speed of the negative user comment is increased by 50 percent and exceeds 30 percent of the first threshold value, an early warning prompt is sent out, for example, in the time period from eight to thirteen points of the day, the emotion analysis result of the user comment shows that the speed of the negative user comment including 'flash back' is increased by 50 percent and exceeds 30 percent of the first threshold value, the early warning prompt is sent out.

In one embodiment, when the rate of review of the users related to the same user viewpoint is increased to exceed a second threshold, an early warning prompt is issued, which may be: the warning alert is issued when the rate of increase of the user comment related to the same user viewpoint is 30 percent and exceeds a second threshold value of 15 percent, for example, in a period of eight to thirteen points per day, when the rate of increase of the user comment related to "flashing back" the same user viewpoint "outage" is 30 percent and exceeds a second threshold value of 15 percent.

In one embodiment, issuing the warning alert may include: and sending out early warning reminding in a mail mode. For example, the mailbox address of a manager is preset, and when the speed of the negative user comment exceeds a first threshold value, an early warning prompt is sent out in a mail mode.

Fig. 3 is a flowchart of an embodiment of a method for analyzing and warning user experience according to the present invention. As shown in fig. 3, the method for analyzing and warning user experience in the embodiment of the present invention may further include:

step 301, receiving a request for classifying and exporting comment data submitted by a user;

and step 302, classifying and exporting comment data concerned by the user according to the request.

In one embodiment, the request to receive user-submitted category-derived review data may be: and receiving a request for exporting comment data for the mobile phone model classification submitted by a user, for example, receiving a request for Huaqi mobile phone model submitted by the user.

In one embodiment, the classification of the comment data of interest to the user based on the request may be: and classifying and deriving the Huaqi mobile phone model comment data concerned by the user according to the Huaqi mobile phone model request, for example, classifying and deriving the Huaqi mobile phone model comment data concerned by the user according to the Huaqi mobile phone model request, wherein the Huaqi mobile phone model comment data is P30, P40, Huaqi mate40, Huaqi nova7 and the like.

The embodiment of the invention also provides a user experience analysis and early warning device, which is described in the following embodiment. Because the principle of the device for solving the problems is similar to the user experience analysis early warning method, the implementation of the device can refer to the implementation of the user experience analysis early warning method, and repeated parts are not repeated.

Fig. 4 is a schematic structural diagram of a user experience analysis early warning apparatus in an embodiment of the present invention. As shown in fig. 4, the apparatus for analyzing and warning user experience in the embodiment of the present invention may include:

the comment obtaining module 401 is configured to obtain comments about an APP in the internet, and obtain comment data to be analyzed, where the comment data to be analyzed includes: the content of user comments, the model of the release mobile phone, the release time and the release APP version;

the analysis module 402 is configured to input the comment data to be analyzed into the user experience analysis model, and output user experience analysis result data corresponding to the comment data to be analyzed; the user experience analysis result data comprises APP problem data analyzed by user comments; the user experience analysis model is obtained by training a machine learning model according to historical comment data and corresponding historical user experience analysis result data; the historical review data includes: the method comprises the steps of obtaining the content of user historical comments, the model of a released mobile phone, the releasing time and the released APP version;

the early warning report module 403 is configured to output a user experience analysis early warning report according to user experience analysis result data corresponding to comment data to be analyzed, where the user experience analysis early warning report includes APP problem data, a mobile phone model of a user comment, a release time, and a release APP version.

In one embodiment, the get comments module 401 is specifically configured to: obtaining comments about an APP in the Internet by one or any combination of the following modes to obtain comment data to be analyzed: web page analysis, json message analysis, exe analysis and UI interface content analysis of APP.

In one embodiment, the get comments module 401 is specifically configured to: and obtaining comments about an APP in the internet according to the comment data acquisition time and/or acquisition period defined by the user to obtain comment data to be analyzed.

In one embodiment, the early warning report module 403 is specifically configured to: and obtaining comments about an APP in the internet according to the comment data acquisition time and/or acquisition period defined by the user to obtain comment data to be analyzed.

Fig. 5 is a schematic structural diagram of an embodiment of a user experience analysis early warning apparatus according to the present invention. As shown in fig. 5, the apparatus for analyzing and warning user experience in the embodiment of the present invention may further include:

the early warning reminding module 501 is used for sending out early warning reminding when the emotion analysis result of the user comment shows that the speed of the negative user comment exceeds a first threshold; and/or, when the comment speed of the users related to the same user viewpoint exceeds a second threshold value, sending out an early warning reminder.

In one embodiment, the early warning module is specifically configured to: and sending out early warning reminding in a mail mode.

Fig. 6 is a schematic structural diagram of an embodiment of a user experience analysis early warning apparatus according to the present invention. As shown in fig. 6, the apparatus for analyzing and warning user experience in the embodiment of the present invention may further include:

a receiving module 601, configured to receive a request for classifying and exporting comment data, where the request is submitted by a user;

and the classification module 602 is configured to classify and derive comment data focused by the user according to the request.

The embodiment of the invention also provides computer equipment which comprises a memory, a processor and a computer program which is stored on the memory and can run on the processor, wherein the processor realizes the user experience analysis early warning method when executing the computer program.

An embodiment of the present invention further provides a computer-readable storage medium, where a computer program for executing the user experience analysis early warning method is stored in the computer-readable storage medium.

In the embodiment of the invention, comments about APP in the Internet are obtained, a user experience analysis model is input, and user experience analysis result data is output; according to user experience analysis result data, outputting a user experience analysis early warning report, comparing with the technical scheme of testing user experience by testers in the prior art, and outputting a relatively accurate user experience analysis early warning report by a mode of combining the obtained comment, the user experience analysis model and the user experience analysis early warning report so as to realize accurately positioning the APP, thereby facilitating maintenance personnel to solve the problem of the APP and improving the user experience of the user to the APP.

As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.

The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

The above-mentioned embodiments are intended to illustrate the objects, technical solutions and advantages of the present invention in further detail, and it should be understood that the above-mentioned embodiments are only exemplary embodiments of the present invention, and are not intended to limit the scope of the present invention, and any modifications, equivalent substitutions, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.