CN109816007A - Trade classification method, storage medium and the terminal device of application program text information - Google Patents
Trade classification method, storage medium and the terminal device of application program text information Download PDFInfo
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- CN109816007A CN109816007A CN201910049734.1A CN201910049734A CN109816007A CN 109816007 A CN109816007 A CN 109816007A CN 201910049734 A CN201910049734 A CN 201910049734A CN 109816007 A CN109816007 A CN 109816007A
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Abstract
The invention discloses trade classification method, storage medium and the terminal devices of a kind of application program text information, characterized in that it comprises: obtains the installation kit of each application program in application shop, and obtains the text information that default file carries in each installation kit；Determine that each application program is corresponding using theme according to the text information of each application program；The application theme is mapped with preset category of employment, to carry out trade classification to each application program.In this way, by obtaining the text information in each application program, then theme is established to the text information in each application program, to be grouped to each application program, to realize the trade classification of application program.
Description
Technical field
The present invention relates to intelligent terminal technical field, in particular to a kind of trade classification side of application program text information
Method, storage medium and terminal device.
Background technique
APP(application program at present) there is many APP in the market, according to incompletely statistics, the data of APP have close to 500
Ten thousand sections, in these APP, some APP are crucial industry APP, include core data inside the APP of these crucial industries, have
Stringent industry and requirements of the national standard has the requirement that branch trade supervision is carried out to it from State-level.APP is supervised
Pipe, a most basic element task is to carry out trade classification to the APP in APP application market, although major APP applies city
All there is a classification to APP on field, but there is a problem of that classification and the trade classification of country are inconsistent, and the classification of application shop
It is more biased towards in function classification, rather than trade classification.Artificial installation and operation APP one by one is currently also needed, then determines institute again
Belong to industry, efficiency is extremely low.
Thus the prior art could be improved and improve.
Summary of the invention
The technical problem to be solved in the present invention is that in view of the deficiencies of the prior art, providing a kind of application program text letter
Trade classification method, storage medium and the terminal device of breath, to solve to run each APP there is still a need for manually installed in the prior art,
Then affiliated industry is determined again, the problem of low efficiency.
In order to solve the above-mentioned technical problem, the technical solution adopted in the present invention is as follows:
A kind of trade classification method of application program text information comprising:
The installation kit of each application program in application shop is obtained, and obtains the text information that default file carries in each installation kit；
Determine that each application program is corresponding using theme according to the text information of each application program；
The application theme is mapped with preset category of employment, to carry out trade classification to each application program.
The trade classification method of the application program text information, wherein each application program in the acquisition application shop
Installation kit, and obtain the text information that default file in each installation kit carries and specifically include:
The installation kit of each application program in application shop is obtained, and the installation kit of each application program is parsed each to get
The character string that default file carries in installation kit, wherein the default file includes DEX file and resource file；
The character string got is filtered, to obtain the text information that default file carries in each installation kit.
The trade classification method of the application program text information, wherein the described pair of character string got is filtered,
It is specifically included with obtaining the text information that default file carries in each installation kit:
The character string is filtered according to default filtering rule, to filter out the English character that the character string includes；
Filtered character string is extracted and preserved, to obtain the text information that default file carries in each installation kit.
The trade classification method of the application program text information, wherein the theme by the application program and pre-
If category of employment mapped, with to the application program carry out trade classification before further include:
Preset application program using the mapping relations between theme and category of employment.
The trade classification method of the application program text information, wherein described by the application theme and preset row
Industry classification is mapped, and is specifically included with carrying out trade classification to each application program:
The application theme of the application program is mapped with preset category of employment according to preset mapping relations；
It is that the application program adds industry item in preset application database according to mapping result, to the application
Program carries out trade classification.
The trade classification method of the application program text information, wherein the application master for presetting application program
Mapping relations between topic and category of employment specifically include:
It is determined according to the attribute for determining the application program using theme of application program, and according to the attribute of the application program
Category of employment belonging to the application program；
Using the category of employment as using industry type belonging to theme, reflecting between theme and category of employment is applied to establish
Penetrate relationship.
The trade classification method of the application program text information, wherein the text information according to each application program
Determine that the corresponding application theme of each application program specifically includes:
It presets several using theme, and each application program is calculated in each application according to LDA algorithm and the text information
Distribution probability under theme；
The corresponding highest distribution probability of each application program is taken, and the corresponding application theme of the highest distribution probability is set as institute
That states application program applies theme.
The trade classification method of the application program text information, wherein it is described according to mapping result in preset application
It is that the application program adds industry item in program data base, is specifically included with carrying out trade classification to the application program:
It is that the application program adds industry item in preset application database according to mapping result；
And according to the corresponding category of employment of mapping result, the category of employment is added to the industry item of the application program, with
Trade classification is carried out to the application program.
A kind of computer readable storage medium, wherein the computer-readable recording medium storage has one or more
Program, one or more of programs can be executed by one or more processor, to realize described in any one as above
Step in the trade classification method of application program text information.
A kind of terminal device, wherein include: processor and memory;Being stored on the memory can be by the processing
The computer-readable program that device executes；The processor is realized described in any one as above when executing the computer-readable program
Application program description trade classification method in step.
The utility model has the advantages that compared with prior art, the present invention provides a kind of trade classification sides of application program text information
Method, storage medium and terminal device, which comprises obtain the installation kit of each application program in application shop, and obtain each
The text information that default file carries in installation kit；It determines that each application program is corresponding according to the text information of each application program to answer
Use theme；The application theme is mapped with preset category of employment, to carry out trade classification to each application program.This
Sample by obtaining the text information in each application program, then establishes theme to the text information in each application program, with to respectively answering
It is grouped with program, to realize the trade classification of application program.
Detailed description of the invention
Fig. 1 is a kind of process of the trade classification method preferred embodiment of application program text information provided by the invention
Figure.
Fig. 2 is the specific stream of step S100 in a kind of trade classification method of application program text information provided by the invention
Cheng Tu.
Fig. 3 is the specific stream of step S200 in a kind of trade classification method of application program text information provided by the invention
Cheng Tu.
Fig. 4 is that step S300 is preferably implemented in a kind of trade classification method of application program text information provided by the invention
The flow chart of example.
Fig. 5 is the structure principle chart of terminal device preferred embodiment provided by the invention.
Specific embodiment
The present invention provides trade classification method, storage medium and the terminal device of a kind of application program text information, to make
The purpose of the present invention, technical solution and effect are clearer, clear, further to the present invention as follows in conjunction with drawings and embodiments
It is described in detail.It should be appreciated that described herein, specific examples are only used to explain the present invention, is not intended to limit the present invention.
Those skilled in the art of the present technique are appreciated that unless expressly stated, singular " one " used herein, " one
It is a ", " described " and "the" may also comprise plural form.It is to be further understood that being arranged used in specification of the invention
Diction " comprising " refer to that there are the feature, integer, step, operation, element and/or component, but it is not excluded that in the presence of or addition
Other one or more features, integer, step, operation, element, component and/or their group.It should be understood that when we claim member
Part is " connected " or when " coupled " to another element, it can be directly connected or coupled to other elements, or there may also be
Intermediary element.In addition, " connection " used herein or " coupling " may include being wirelessly connected or wirelessly coupling.It is used herein to arrange
Diction "and/or" includes one or more associated wholes for listing item or any cell and all combinations.
Those skilled in the art of the present technique are appreciated that unless otherwise defined, all terms used herein (including technology art
Language and scientific term), there is meaning identical with the general understanding of those of ordinary skill in fields of the present invention.Should also
Understand, those terms such as defined in the general dictionary, it should be understood that have in the context of the prior art
The consistent meaning of meaning, and unless idealization or meaning too formal otherwise will not be used by specific definitions as here
To explain.
The APP(application program in mobile application market) in include code, resource file and configuration information etc., code with
DEX file format exists, and the inside includes all texts involved in code, and resource file can by Resources.arsc
To be indexed to all resources, the character string pond in Resources.arsc includes all text letters having in the page in APP
Breath, such as text in key etc..By extracting these texts, by the text information of extraction, we can generally confirm
Which industry APP belongs to.Further, these texts can be divided the text in different APP as the input of machine learning
Class, so that the industry to APP is classified.With reference to the accompanying drawing, by the description of the embodiment, making to summary of the invention further
Explanation.
Fig. 1 is please referred to, Fig. 1 is that a kind of trade classification method of application program text information provided by the invention is preferably implemented
The flow chart of example.The described method includes:
S100, the installation kit for obtaining each application program in application shop, and obtain the text that default file carries in each installation kit
Information.
Specifically, it by obtaining all text informations in application program, and then is grouped according to text information, and most
It is eventually that application program is classified, correspondingly, referring to figure 2., Fig. 2 is a kind of application program text information provided by the invention
The specific flow chart of step S100 in trade classification method.The installation kit of each application program in the acquisition application shop, and obtain
The text information that default file carries in each installation kit is taken to specifically include:
S101, the installation kit for obtaining each application program in application shop, and the installation kit of each application program is parsed to obtain
Get the character string that default file carries in each installation kit, wherein the default file includes DEX file and resource file.
Specifically, successively the installation kit of each application program can be crawled from application shop, to obtain application
The installation kit of each application program in shop, then each application program is parsed by analytical tool, to get each installation
The character string that default file carries in packet.
Further, the default file includes DEX file and resource file, in the present embodiment, for an application program
Installation kit, can first obtain all character strings that DEX file is included in default file in installation kit；Installation kit is obtained again
All character strings that resource file is included in middle default file, specifically can be global word in Resources.arsc file
All character strings in symbol string pond.
S102, the character string got is filtered, to obtain the text information that default file carries in each installation kit.
Specifically, by being filtered to the character string got, English words included in character string can be filtered out
Symbol string, so as to retain filtered Chinese, therefore the described pair of character string got is filtered, to obtain each installation kit
The text information that middle default file carries specifically includes:
The character string is filtered according to default filtering rule, to filter out the English character that the character string includes；
Filtered character string is extracted and preserved, to obtain the text information that default file carries in each installation kit.
Specifically, in the present embodiment, the preset filtering rule, which can be, is filtered the character string got, with
The English character that the character string includes is filtered out, then filtered character string is extracted and preserved, it is pre- in each installation kit to obtain
If the text information that file carries.To carry out industry to each application program according to the text information of each application program of acquisition
Classification.
S200, determine that each application program is corresponding using theme according to the text information of each application program.
Referring to figure 3., Fig. 3 is step in a kind of trade classification method of application program text information provided by the invention
The specific flow chart of S200.Correspondingly, the text information according to each application program determines the corresponding application of each application program
Theme specifically includes:
S201, it presets several using theme, and each application program is calculated each according to LDA algorithm and the text information
Using the distribution probability under theme；
S202, the corresponding highest distribution probability of each application program is taken, and the corresponding application theme of the highest distribution probability is set
Be set to the application program applies theme.
Specifically, the APP of bank's industry may include that deposit, withdrawal involved in application program etc. is similar using theme
Theme；The APP of U.S. figure industry may include that U.S. face, food involved in application program such as are taken pictures at the similar master using theme
Topic.It in the present embodiment, using the text information in millions of APP as data set, and inputs in LDA algorithm, while being arranged 100
A theme (here with no restrictions), in this way, by LDA algorithm can export the text information in each application program this 100
Distribution probability under a theme, it should be noted that the present invention chooses the corresponding highest distribution probability of each application program, and by institute
State the corresponding application theme for being set as the application program using theme of highest distribution probability.In this way, being carried out to APP industry
When classification, keep the classification of application program more accurate, effect is more preferable.Meanwhile in machine learning LDA theme modeling only need into
Row is primary, can repeatedly be mapped result, and the demand of industry expansion is adapted to.
S300, the application theme is mapped with preset category of employment, to carry out industry point to each application program
Class.
Specifically, the preset category of employment can be 25 industries for comparing concern, it should be noted that selected
Industry and quantity here with no restriction.It can be bank, security, fund, insurance, trust, the consumer finance, P2P finance, moves
Dynamic, connection, telecommunications, institutional settings, health care, the energy, education, traffic, journalism media, new media, electric business, audio-visual, news
Reading, service for life, tourism trip, social, camera shooting, other this 25 industries.Thus by the application theme and preset row
Industry classification is mapped, to carry out trade classification to each application program.
Further, to ensure that the industry to each APP is classified, the theme by the application program and preset row
Industry classification is mapped, before to application program progress trade classification further include:
Preset application program using the mapping relations between theme and category of employment.
Specifically, described to preset specifically wrapping using the mapping relations between theme and category of employment for application program
It includes:
It is determined according to the attribute for determining the application program using theme of application program, and according to the attribute of the application program
Category of employment belonging to the application program；
Using the category of employment as using industry type belonging to theme, reflecting between theme and category of employment is applied to establish
Penetrate relationship.
Specifically, for example, the APP of a bank, can be deposit or withdrawal using theme, according to the category of its theme
Property and feature, that is, can determine whether that current APP belongs to bank's industry.
Further, referring to figure 4., Fig. 4 be a kind of application program description provided by the invention trade classification method in walk
The specific flow chart of rapid S300.Correspondingly, described map the application theme with preset category of employment, with to respectively answering
Trade classification is carried out with program to specifically include:
S301, the application theme of the application program is reflected with preset category of employment according to preset mapping relations
It penetrates.
Specifically, described that the application program is applied into theme and preset industry according to preset mapping relations
Classification carries out mapping and specifically includes:
Obtain application program using the mapping relations between theme and category of employment；
The application program is determined into corresponding category of employment using theme according to the mapping relations.
Specifically, obtain the application program pre-set using the mapping relations between theme and category of employment, then
The application program is determined into corresponding category of employment using theme according to the mapping relations.In this way, being answered when learning
When with the application theme of program, the theme of each application program can be mapped in certain industry, so as to reach point
The effect of group, that is, trade classification has been carried out to application program.
It S302, according to mapping result is that the application program adds industry item in preset application database, with
Trade classification is carried out to the application program.
Specifically, described according to mapping result is that the application program adds industry in preset application database
, it is specifically included with carrying out trade classification to the application program:
It is that the application program adds industry item in preset application database according to mapping result；
And according to the corresponding category of employment of mapping result, the category of employment is added to the industry item of the application program, with
Trade classification is carried out to the application program.
It specifically, is that the application program adds industry item in preset application database according to mapping result,
And according to the corresponding category of employment of mapping result, the category of employment is added to the industry item of the application program, to institute
It states application program and carries out trade classification.In this way, the automation trade classification to all application programs can be realized, to solve
It needs to spend a large amount of APP trade classification problems that could manually complete.It should be noted that the preset application program number
It is to preset according to library, ensure that the independence of data.
The present invention can accurately obtain application program by crawling the text information in all application programs in application shop
The corresponding verbal description of interior function.And by machine learning, classify to these verbal descriptions, so that application program can be realized
Mechanized classification, solve the problems, such as to need to spend a large amount of APP trade classifications that manually could be completed, be APP progress industry prison
Pipe provides technical foundation.
The present invention also provides a kind of computer readable storage medium, the computer-readable recording medium storage has one
Or multiple programs, one or more of programs can be executed by one or more processor, to realize above-described embodiment
Step in the trade classification method of the application program text information.
The present invention also provides a kind of terminal devices, as shown in Figure 5 comprising at least one processor (processor)
20；Display screen 21；And memory (memory) 22, can also include communication interface (Communications Interface)
23 and bus 24.Wherein, processor 20, display screen 21, memory 22 and communication interface 23 can be completed mutually by bus 24
Between communication.Display screen 21 is set as preset user in display initial setting mode and guides interface.Communication interface 23 can pass
Defeated information.Processor 20 can call the logical order in memory 22, to execute the method in above-described embodiment.
In addition, the logical order in above-mentioned memory 22 can be realized and as only by way of SFU software functional unit
Vertical product when selling or using, can store in a computer readable storage medium.
Memory 22 is used as a kind of computer readable storage medium, and it is executable to may be configured as storage software program, computer
Program, such as the corresponding program instruction of method or module in the embodiment of the present disclosure.Processor 30 is stored in memory by operation
Software program, instruction or module in 22, thereby executing functional application and data processing, i.e. side in realization above-described embodiment
Method.
Memory 22 may include storing program area and storage data area, wherein storing program area can storage program area, extremely
Application program needed for a few function；Storage data area, which can be stored, uses created data etc. according to terminal device.This
Outside, memory 22 may include high-speed random access memory, can also include nonvolatile memory.For example, USB flash disk, movement
Hard disk, read-only memory (Read-Only Memory, ROM), random access memory (Random Access Memory,
RAM), a variety of media that can store program code such as magnetic or disk, are also possible to transitory memory medium.
In addition, a plurality of instruction processing unit in above-mentioned storage medium and mobile terminal loads and the detailed process executed exists
It has been described in detail in the above method, has just no longer stated one by one herein.
Finally, it should be noted that the above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations；Although
Present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that: it still may be used
To modify the technical solutions described in the foregoing embodiments or equivalent replacement of some of the technical features；
And these are modified or replaceed, technical solution of various embodiments of the present invention that it does not separate the essence of the corresponding technical solution spirit and
Range.
Claims (10)
1. a kind of trade classification method of application program text information, characterized in that it comprises:
The installation kit of each application program in application shop is obtained, and obtains the text information that default file carries in each installation kit；
Determine that each application program is corresponding using theme according to the text information of each application program；
The application theme is mapped with preset category of employment, to carry out trade classification to each application program.
2. the trade classification method of application program text information according to claim 1, which is characterized in that the acquisition application
The installation kit of each application program in shop, and obtain the text information that default file carries in each installation kit and specifically include:
The installation kit of each application program in application shop is obtained, and the installation kit of each application program is parsed each to get
The character string that default file carries in installation kit, wherein the default file includes DEX file and resource file；
The character string got is filtered, to obtain the text information that default file carries in each installation kit.
3. the trade classification method of application program text information according to claim 2, which is characterized in that described pair gets
Character string be filtered, specifically included with obtaining the text information that default file in each installation kit carries:
The character string is filtered according to default filtering rule, to filter out the English character that the character string includes；
Filtered character string is extracted and preserved, to obtain the text information that default file carries in each installation kit.
4. the trade classification method of application program text information according to claim 1, which is characterized in that described to be answered by described in
It is mapped with the theme of program and preset category of employment, before to application program progress trade classification further include:
Preset application program using the mapping relations between theme and category of employment.
5. the trade classification method of application program text information according to claim 4, which is characterized in that described to be answered by described in
It is mapped with theme and preset category of employment, is specifically included with carrying out trade classification to each application program:
The application theme of the application program is mapped with preset category of employment according to preset mapping relations；
It is that the application program adds industry item in preset application database according to mapping result, to the application
Program carries out trade classification.
6. the trade classification method of application program text information according to claim 4, which is characterized in that described to preset
Application program is specifically included using the mapping relations between theme and category of employment:
It is determined according to the attribute for determining the application program using theme of application program, and according to the attribute of the application program
Category of employment belonging to the application program；
Using the category of employment as using industry type belonging to theme, reflecting between theme and category of employment is applied to establish
Penetrate relationship.
7. the trade classification method of application program text information according to claim 1, which is characterized in that the basis is respectively answered
Determine that the corresponding application theme of each application program specifically includes with the text information of program:
It presets several using theme, and each application program is calculated in each application according to LDA algorithm and the text information
Distribution probability under theme；
The corresponding highest distribution probability of each application program is taken, and the corresponding application theme of the highest distribution probability is set as institute
That states application program applies theme.
8. the trade classification method of application program text information according to claim 5, which is characterized in that described according to mapping
It as a result is that the application program adds industry item in preset application database, to carry out industry to the application program
Classification specifically includes:
It is that the application program adds industry item in preset application database according to mapping result；
And according to the corresponding category of employment of mapping result, the category of employment is added to the industry item of the application program, with
Trade classification is carried out to the application program.
9. a kind of computer readable storage medium, which is characterized in that the computer-readable recording medium storage have one or
Multiple programs, one or more of programs can be executed by one or more processor, to realize such as claim 1~8
Step in the trade classification method of application program text information described in any one.
10. a kind of terminal device characterized by comprising processor and memory;Being stored on the memory can be described
The computer-readable program that processor executes；The processor realizes such as claim 1 when executing the computer-readable program
Step in the trade classification method of the description of application program described in~8 any one.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110955450A (en) * | 2019-12-16 | 2020-04-03 | 北京智游网安科技有限公司 | Application package file attribution statistical method, system and storage medium |
| CN110955450B (en) * | 2019-12-16 | 2023-09-29 | 北京智游网安科技有限公司 | Attribution statistical method, system and storage medium of application package file |
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