CN108229806A - A kind of method and system for analyzing business risk - Google Patents
A kind of method and system for analyzing business risk Download PDFInfo
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- CN108229806A CN108229806A CN201711446480.4A CN201711446480A CN108229806A CN 108229806 A CN108229806 A CN 108229806A CN 201711446480 A CN201711446480 A CN 201711446480A CN 108229806 A CN108229806 A CN 108229806A
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Abstract
The present invention provides a kind of method, system, computer equipment and computer readable storage medium for analyzing business risk, is related to technical field of data processing.The method includes：The relevant information of enterprise is acquired, the relevant information includes news public feelings information and microblogging public feelings information；Labeling extraction is carried out to the relevant information, analysis obtains the risk class of the enterprise；Using time dimension as processing rule, the Risk Results of the enterprise are exported with reference to the risk class of the enterprise.The present invention finally shows business risk due to adding public feelings information in the relevant information of enterprise in the form of time shaft, helps to find business risk in time, holds enterprise operation variation tendency.
Description
Technical field
The present invention is concretely a kind of method for analyzing business risk, analysis enterprise about technical field of data processing
System, computer equipment and the computer readable storage medium of risk.
Background technology
Background that this section is intended to provide an explanation of the embodiments of the present invention set forth in the claims or context.Herein
Description recognizes it is the prior art not because not being included in this part.
The present situation of traditional forms of enterprises's risk monitoring and control is that traditional bank's air control is mainly that one kind is manually examined in the prior art
With the management mode of subsequent passive monitoring, customer manager goes to enterprise to carry out interview, forms credit report, and typing built-in system is borrowed
After money granting every season or every half a year borrowed after investigate, client in order to obtain loan to bank provides often beautification after wealth
Business report, the information provided is also to maximize favourable factors and minimize unfavourable ones, information distortion.In addition bank limited personnel, the later stage do not have enough manpowers and
Tool carries out continuing tracking, it is found that business failure is late.There was only the transaction data of client inside financial institution, be all thing
Data afterwards, data source is single, unilateral, and the annual annual report that updates can just be updated system data, poor in timeliness, passive pipe
Reason mode can not track enterprise operation situation of change, find risk in time.With financial disintermediation normalization, enterprise operation in " across
Industry, transboundary, it is cross-border " situation, client association relationship is more complicated has too many difficulties to cope with hiddenization, traditional monitoring means.
Therefore, a kind of new scheme how is provided, it is this field skill urgently to be resolved hurrily that can solve above-mentioned technical problem
Art problem.
Invention content
In view of this, the present invention provides a kind of method for analyzing business risk, the system for analyzing business risk, computers
Equipment and computer readable storage medium, due to adding public feelings information in the relevant information of enterprise, and finally with the time
The form of axis shows business risk, helps to find business risk in time, holds enterprise operation variation tendency.
To achieve these goals, the present invention provides it is a kind of analyze business risk method, the method includes：
The relevant information of enterprise is acquired, the relevant information includes news public feelings information and microblogging public feelings information；
Labeling extraction is carried out to the relevant information, analysis obtains the risk class of the enterprise；
Using time dimension as processing rule, the Risk Results of the enterprise are exported with reference to the risk class of the enterprise.
Preferably, the relevant information further includes industrial and commercial essential information, persecutio information, judicial decision information, breaks one's promise
Executed person information, operation exception information, resists and gives as security information, marketing enterprises bulletin letter breath, Dong prison senior executive administrative penalty information
Reason personnel public information and recruitment information.
Preferably, labeling extraction is carried out to the relevant information, analysis show that the risk class of the enterprise includes：
According to the relevant information combination OEC models, the risk label of the enterprise is exported；
The title of the enterprise is identified according to the risk label and company's name entity identification algorithms, after obtaining identification
Risk label；
The title of the enterprise is standardized, obtains the risk label after standardization；
Preset risk class and Risk rated ratio value are obtained, obtains the risk class of the risk label, it is described
Risk class is the risk class of the enterprise.
Preferably, using time dimension as processing rule, the wind of the enterprise is exported with reference to the risk class of the enterprise
Dangerous result includes：
Obtain the risk class of the enterprise；
Time dimension is obtained from the relevant information；
The time dimension is supplemented to the risk class of the enterprise, obtains the Risk Results of the enterprise.
It is an object of the invention to provide a kind of systems for analyzing business risk, and the system comprises data acquisitions
Device, risk class determining device and Risk Results output device,
Wherein, the data acquisition device, for acquiring the relevant information of enterprise, the relevant information includes news public sentiment
Information and microblogging public feelings information；
The risk class determining device, for carrying out labeling extraction to the relevant information, analysis obtains the enterprise
The risk class of industry；
The Risk Results output device, for regular using time dimension as processing, with reference to risk of the enterprise etc.
Grade exports the Risk Results of the enterprise.
It is an object of the invention to provide a kind of computer equipments, including memory, processor and are stored in storage
On device and the computer program that can run on a processor, the processor realize a kind of analysis when performing the computer program
The method of business risk.
It is an object of the invention to provide a kind of computer readable storage medium, the computer-readable storage medium
Matter, which is stored with, performs a kind of method for analyzing business risk.
The beneficial effects of the present invention are, provide it is a kind of analyze business risk method, analyze business risk system,
Computer equipment and computer readable storage medium, by acquiring the relevant information for including public feelings information of enterprise, subsequently
Labeling extraction process is carried out to relevant information, analyzes the risk class of enterprise, is finally carried out using time dimension as rule
Model treatment exports the Risk Results of enterprise, and Risk Results are by the form of time shaft to the important wind during enterprise operation
The dangerous time carries out summarizing displaying, due to adding public feelings information in relevant information, and is finally shown, helped in the form of time shaft
In discovery business risk in time, hold enterprise operation variation tendency.
Above and other objects, features and advantages to allow the present invention can be clearer and more comprehensible, preferred embodiment cited below particularly,
And coordinate institute's accompanying drawings, it is described in detail below.
Description of the drawings
In order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, to embodiment or will show below
There is attached drawing needed in technology description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
Some embodiments of invention, for those of ordinary skill in the art, without creative efforts, can be with
Other attached drawings are obtained according to these attached drawings.
Fig. 1 is a kind of structure diagram of system for analyzing business risk provided in an embodiment of the present invention；
Fig. 2 is a kind of structure of system risk grade determining device for analyzing business risk provided in an embodiment of the present invention
Schematic diagram；
Fig. 3 is a kind of structure of system risk result output device for analyzing business risk provided in an embodiment of the present invention
Schematic diagram；
Fig. 4 is a kind of flow chart of method for analyzing business risk provided in an embodiment of the present invention；
Fig. 5 is the flow diagram of the step S102 in Fig. 4；
Fig. 6 is the flow diagram of the step S103 in Fig. 4；
Fig. 7 to Figure 14 is the relevant information schematic diagram of certain enterprise in specific embodiment provided by the invention；
Figure 15 is the schematic diagram of the Risk Results of certain enterprise in specific embodiment provided by the invention.
Specific embodiment
Below in conjunction with the attached drawing in the embodiment of the present invention, the technical solution in the embodiment of the present invention is carried out clear, complete
Site preparation describes, it is clear that described embodiment is only part of the embodiment of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, those of ordinary skill in the art are obtained every other without making creative work
Embodiment shall fall within the protection scope of the present invention.
Art technology technical staff knows, embodiments of the present invention can be implemented as a kind of system, device, method or
Computer program product.Therefore, of the invention disclose can be with specific implementation is as follows, i.e.,：Complete hardware, complete software
The form that (including firmware, resident software, microcode etc.) or hardware and software combine.
In the prior art, traditional bank's air control is mainly a kind of manually management mould of examination ＆ approval and subsequent passive monitoring
Formula, financial institution only have inside the transaction data of client, are all post-flight datas, data source is single, unilateral, updates annual report every year
System data can be just updated, poor in timeliness, passive way to manage can not track enterprise operation situation of change, send out in time
Existing risk.With financial disintermediation normalization, in " trans-sectoral, transboundary, cross-border " situation, client association relationship is more complicated for enterprise operation
Change and hiddenization, traditional monitoring means are had too many difficulties to cope with.
Internet is the place that public sentiment shows at first due to the promptness of propagation, on network with having magnanimity about enterprise and
The information of main administrator.Based on this, the present invention provides a kind of system for analyzing business risk, and Fig. 1 is carried for the embodiment of the present invention
The structure diagram of the system of a kind of analysis business risk supplied, referring to Fig. 1, analysis business risk provided by the invention is
System includes data acquisition device 100, risk class determining device 200 and Risk Results output device 300,
Wherein, the data acquisition device 100, for acquiring the relevant information of enterprise, the relevant information includes news
Public feelings information and microblogging public feelings information.
In one embodiment of the invention, the relevant information further include industrial and commercial essential information, persecutio information,
Judicial decision information, administrative penalty information, manages exception information, resists and give as security information, marketing enterprises public affairs at executed person information of breaking one's promise
Accuse letter breath, Dong supervises high administrative staff's public information and recruitment information.
The present invention is combined using inside and outside portion's data, and structuring, unstructured data are combined, industrial and commercial, judicial data and
The comprehensive various dimensions of mode that internet data is combined excavate the relevant information risk of enterprise.Due to data more comprehensively, it touches and reaches
The instantaneity of risk point more diversification, Internet whole network acquisition and analysis, has vitalized doomed dead evidence, has improved data value.Mutually
The information of networking acquisition includes recruitment information, news public feelings information, microblogging public feelings information, news public feelings information and microblogging public sentiment
Information refers to different sources.Fig. 7 to Figure 14 is referred to, the relevant information for certain enterprise in specific embodiment provided by the invention is shown
It is intended to.
The test script generating means 200, for carrying out labeling extraction to the relevant information, analysis obtains described
The risk class of enterprise.In this application, risk label is the risk case that business compares concern, is modeled by OEC with label
The configuration shows of tree come out, and the risk class for assessing by expert each label is high, normal, basic with Risk rated ratio value, by text
Analysis is excavated business risk information and result is exported in the form of " company+risk tag set ".
Fig. 2 is a kind of structure of system risk grade determining device for analyzing business risk provided in an embodiment of the present invention
Schematic diagram, referring to Fig. 2, the risk class determining device includes：
Risk label output module 201, for according to the relevant information combination OEC models, exporting the wind of the enterprise
Dangerous label.
For certain enterprise of Fig. 7 to Figure 14, the risk that gets of OEC (semantic analysis modeling tool) service interface is called
Label is：" business risk->Operation item->Pledge of stocks, business risk->Material items->Debit and credit guarantee ".
Enterprise name identification module 202, for according to the risk label and company's name entity identification algorithms identification
The title of the enterprise, the risk label after being identified.For certain enterprise of Fig. 7 to Figure 14, entity is named with reference to company
Recognizer identification CompanyName is " LeTV ", then the risk label after identifying is：" LeTV+business risk->Manage thing
->Pledge of stocks, business risk->Material items->Debit and credit guarantee ".
Title standardization module 203, is standardized for the title to the enterprise, obtains at standardization
Risk label after reason.Obtaining result for certain enterprise of Fig. 7 to Figure 14, after Business Name standardization is：" LeTV
Information technology (Beijing) limited company+business risk->Operation item->Pledge of stocks, business risk->Material items->
Debit and credit guarantee ".
Grade Weight Acquisition module 204, for obtaining preset risk class and Risk rated ratio value, according to described
Risk class and Risk rated ratio value determine the risk class of the risk label after standardization, and the risk class is
The risk class of the enterprise.For certain enterprise of Fig. 7 to Figure 14, according to the risk class and Risk rated ratio defined
Value, combining standardized treated risk label, you can obtain the risk class of risk label.
As shown in Figure 1, test script output device 300 described in the system, for regular using time dimension as processing,
The Risk Results of the enterprise are exported with reference to the risk class of the enterprise.Specifically, rule, time are handled with time dimension
From the issuing time of Present News, each corporate news information has issuing time, when the risk case as company occurs
Between, with reference to the risk case label that corporate risk analysis obtains, form the business risk event time axis according to time-sequencing.
Fig. 3 is a kind of structure of system risk result output device for analyzing business risk provided in an embodiment of the present invention
Schematic diagram, referring to Fig. 3, the Risk Results output device includes：
Risk class acquisition module 301, for obtaining the risk class of the enterprise from the risk class determining device；
Time dimension acquisition module 302, for obtaining time dimension from the relevant information；
Risk Results output module 303 for the time dimension to be supplemented to the risk class of the enterprise, obtains institute
State the Risk Results of enterprise.
For certain enterprise of Fig. 7 to Figure 14, the risk class of enterprise is obtained, is obtained in the relevant information from Fig. 7 to Figure 14
Time dimension is taken, the time dimension is supplemented to the risk class of the enterprise later, is i.e. the supplement news briefing date, output
Risk Results be the " date (date)：LeTV information technology (Beijing) limited company+business risk->Manage thing
->Pledge of stocks, business risk->Material items->Debit and credit guarantee ".Figure 15 is certain in specific embodiment provided by the invention
The schematic diagram of the Risk Results of enterprise.
As above it is a kind of system for analyzing business risk provided by the invention, is combined using inside and outside portion's data, structure
Change, unstructured data is combined, the comprehensive various dimensions excavation enterprise of the mode that industry and commerce, judicial data and internet data are combined
Industry risk.First, data more comprehensively, are touched up to risk point more diversification；Secondly, Internet whole network is acquired and is analyzed instant
Property, doomed dead evidence has been vitalized, has improved data value；By NLP semantic analysis treatment technologies, public sentiment is processed using risk model
The risk label of different weights is processed into, adds in time factor, the intuitive risk variation tendency for showing enterprise, convenient for business personnel
It checks, achievees the purpose that early warning, also provide important references for backstage personnel optimization and correction model.
In addition, although being referred to several unit modules of system in above-detailed, it is this to divide only simultaneously
Non-imposed.In fact, according to the embodiment of the present invention, the feature and function of two or more above-described units can
To embody in a unit.Equally, the feature and function of an above-described unit can also be further divided by
Multiple units embody.Terms used above " module " and " unit ", can be realize predetermined function software and/or
Hardware.Although following embodiment described module is preferably realized with software, the group of hardware or software and hardware
The realization of conjunction is also what may and be contemplated.
After the verification system of exemplary embodiment of the invention is described, next, refer to the attached drawing shows the present invention
The method of example property embodiment is introduced.The implementation of this method may refer to above-mentioned whole implementation, and it is no longer superfluous to repeat part
It states.
Fig. 4 is a kind of flow chart of method for analyzing business risk provided in an embodiment of the present invention, referring to Fig. 4, this hair
The method of the analysis business risk of bright offer includes：
S101：The relevant information of enterprise is acquired, the relevant information includes news public feelings information and microblogging public feelings information.
In one embodiment of the invention, the relevant information further include industrial and commercial essential information, persecutio information,
Judicial decision information, administrative penalty information, manages exception information, resists and give as security information, marketing enterprises public affairs at executed person information of breaking one's promise
Accuse letter breath, Dong supervises high administrative staff's public information and recruitment information.
The present invention is combined using inside and outside portion's data, and structuring, unstructured data are combined, industrial and commercial, judicial data and
The comprehensive various dimensions of mode that internet data is combined excavate the relevant information risk of enterprise.Due to data more comprehensively, it touches and reaches
The instantaneity of risk point more diversification, Internet whole network acquisition and analysis, has vitalized doomed dead evidence, has improved data value.Mutually
The information of networking acquisition includes recruitment information, news public feelings information, microblogging public feelings information, news public feelings information and microblogging public sentiment
Information refers to different sources.Fig. 7 to Figure 14 is referred to, the relevant information for certain enterprise in specific embodiment provided by the invention is shown
It is intended to.
S102：Labeling extraction is carried out to the relevant information, analysis obtains the risk class of the enterprise.In the application
In, risk label is the risk case that business compares concern, is modeled by OEC and is come out with the configuration shows of tag tree, and by special
The risk class that family assesses each label is high, normal, basic with Risk rated ratio value, by text analyzing, excavate business risk information with
The form output result of " company+risk tag set ".
Fig. 5 is the flow diagram of step S102, referring to Fig. 5, the step includes：
S201：According to the relevant information combination OEC models, the risk label of the enterprise is exported.
For certain enterprise of Fig. 7 to Figure 14, the risk that gets of OEC (semantic analysis modeling tool) service interface is called
Label is：" business risk->Operation item->Pledge of stocks, business risk->Material items->Debit and credit guarantee ".
S202：The title of the enterprise is identified according to the risk label and company's name entity identification algorithms, is obtained
Risk label after identification.For certain enterprise of Fig. 7 to Figure 14, with reference to name entity identification algorithms identification CompanyName of company
For " LeTV ", then the risk label after identifying is：" LeTV+business risk->Operation item->Pledge of stocks, enterprise's wind
Danger->Material items->Debit and credit guarantee ".
S203：The title of the enterprise is standardized, obtains the risk label after standardization.With Fig. 7
Obtaining result to certain enterprise of Figure 14, after Business Name standardization is：" LeTV information technology (Beijing) share has
Limit company+business risk->Operation item->Pledge of stocks, business risk->Material items->Debit and credit guarantee ".
S204：Preset risk class and Risk rated ratio value are obtained, is weighed according to the risk class and risk
Weight values determine the risk class of the risk label after standardization, and the risk class is risk of the enterprise etc.
Grade.For certain enterprise of Fig. 7 to Figure 14, according to the risk class defined and Risk rated ratio value, risk label is obtained
Risk class.
As shown in figure 5, this method further includes：
S103：Using time dimension as processing rule, the risk of the enterprise is exported with reference to the risk class of the enterprise
As a result.Specifically, rule, issuing time of the time from Present News, each corporate news information are handled with time dimension
There is issuing time, as the risk case time of origin of company, with reference to the risk case label that corporate risk analysis obtains, structure
Into the business risk event time axis according to time-sequencing.
Fig. 6 is the flow diagram of step S103, referring to Fig. 6, the step includes：
S301：The risk class of the enterprise is obtained from the risk class determining device；
S302：Time dimension is obtained from the relevant information；
S303：The time dimension is supplemented to the risk class of the enterprise, obtains the Risk Results of the enterprise.
For certain enterprise of Fig. 7 to Figure 14, the risk class of enterprise is obtained.It is obtained in relevant information from Fig. 7 to Figure 14
Time dimension is taken, the time dimension is supplemented to the risk class of the enterprise later, is i.e. the supplement news briefing date, output
Risk Results be the " date (date)：LeTV information technology (Beijing) limited company+business risk->Manage thing
->Pledge of stocks, business risk->Material items->Debit and credit guarantee ".Figure 15 is certain in specific embodiment provided by the invention
The schematic diagram of the Risk Results of enterprise.
As above it is a kind of method for analyzing business risk provided by the invention, is combined using inside and outside portion's data, structure
Change, unstructured data is combined, the comprehensive various dimensions excavation enterprise of the mode that industry and commerce, judicial data and internet data are combined
Industry risk.First, data more comprehensively, are touched up to risk point more diversification；Secondly, Internet whole network is acquired and is analyzed instant
Property, doomed dead evidence has been vitalized, has improved data value；By NLP semantic analysis treatment technologies, public sentiment is processed using risk model
The risk label of different weights is processed into, adds in time factor, the intuitive risk variation tendency for showing enterprise, convenient for business personnel
It checks, achievees the purpose that early warning, also provide important references for backstage personnel optimization and correction model.
The present invention also provides a kind of computer equipment, including memory, processor and storage on a memory and can be
The computer program run on processor, the processor realize a kind of analysis business risk when performing the computer program
Method.
The present invention also provides a kind of computer readable storage medium, the computer-readable recording medium storage has execution
A kind of method for analyzing business risk.
With reference to specific embodiment, technical scheme of the present invention is discussed in detail.
The present invention other than enterprise's public information that internet acquires, also processing and sorting include enterprise industry and commerce information,
Legal person, shareholder, senior executive's information, actionable information, tax arrear information, breaking one's promise is performed the information such as information, administrative penalty.Internet acquires
Information include recruitment information, news public sentiment, microblogging public sentiment etc., by the relevant information carry out labeling extraction at
Reason analyzes the risk class of enterprise.Model treatment is carried out using time dimension as rule, by the form of time shaft to enterprise
The important risk time in business process extract analysis summary displaying, contribute to business personnel find in time business risk,
Hold enterprise operation variation tendency.By taking the relevant information of the LeTV shown in Fig. 7 to Figure 14 as an example, which passes through
The form (shown in Figure 15) of time shaft, system completely present the development track of LeTV event.End was begun to show from 13,14 years
Ni to comprehensive outburst of 17 years LeTV events, has mark that can follow in the time shaft of Risk Results.
In conclusion the present invention provides a kind of method for analyzing business risk, the system for analyzing business risk, computers
Equipment and computer readable storage medium, by acquiring the relevant information for including public feelings information of enterprise, subsequently to correlation
Information carries out labeling extraction process, analyzes the risk class of enterprise, is finally carried out at model using time dimension as rule
Reason, exports the Risk Results of enterprise, Risk Results are by the form of time shaft to the important risk time during enterprise operation
It carries out summarizing displaying, due to adding public feelings information in relevant information, and is finally shown, contributed in time in the form of time shaft
It was found that business risk, assurance enterprise operation variation tendency.
It is improvement on hardware (for example, to diode, crystal that the improvement of one technology, which can be distinguished clearly,
Pipe, switch etc. circuit structures improvement) or software on improvement (improvement for method flow).However, with technology
Development, the improvement of current many method flows can be considered as directly improving for hardware circuit.Designer is almost
All corresponding hardware circuit is obtained by the way that improved method flow is programmed into hardware circuit.Therefore, it cannot be said that one
The improvement of a method flow cannot be realized with hardware entities module.For example, programmable logic device (Programmable
Logic Device, PLD) (such as field programmable gate array (Field Programmable Gate Array, FPGA)) just
It is such a integrated circuit, logic function determines device programming by user.It is voluntarily programmed Lai one by designer
Dedicated integrated circuit is designed and made to a digital display circuit " integrated " on a piece of PLD without asking chip maker
Chip.Moreover, nowadays, substitution manually makes IC chip, and " logic compiler (logic is also used in this programming instead mostly
Compiler) " software realizes that when it writes with program development software compiler used is similar, and before compiling
Also handy specific programming language is write for source code, this is referred to as hardware description language (Hardware Description
Language, HDL), and HDL is also not only a kind of, but there are many planting, such as ABEL (Advanced Boolean
Expression Language)、AHDL(Altera Hardware Description Language)、Confluence、
CUPL(Cornell University Programming Language)、HDCal、JHDL(Java Hardware
Description Language)、Lava、Lola、MyHDL、PALASM、RHDL(Ruby Hardware Description
Language) etc., VHDL (Very-High-Speed Integrated Circuit are most generally used at present
Hardware Description Language) and Verilog2.Those skilled in the art, which also will be apparent to the skilled artisan that, only needs general side
Method flow slightly programming in logic and is programmed into integrated circuit with above-mentioned several hardware description languages, it is possible to be readily available reality
The now hardware circuit of the logical method flow.
Controller can be implemented in any suitable manner, for example, controller can take such as microprocessor or processing
The computer of computer readable program code (such as software or firmware) that device and storage can be performed by (micro-) processor can
Read medium, logic gate, switch, application-specific integrated circuit (Application Specific Integrated Circuit,
ASIC), the form of programmable logic controller (PLC) and embedded microcontroller, the example of controller include but not limited to following microcontroller
Device：ARC 625D, Atmel AT91SAM, Microchip PIC18F26K20 and Silicone Labs C8051F320, are deposited
Memory controller is also implemented as a part for the control logic of memory.
It is also known in the art that other than realizing controller in a manner of pure computer readable program code, it is complete
Entirely can by by method and step carry out programming in logic come controller with logic gate, switch, application-specific integrated circuit, may be programmed
The form of logic controller and embedded microcontroller etc. realizes identical function.Therefore this controller is considered one kind
Hardware component, and the structure that can also be considered as to the device for being used to implement various functions included in it in hardware component.Or
Even, the device for being used to implement various functions can be considered as either the software module of implementation method can be Hardware Subdivision again
Structure in part.
System, device, module or the unit that above-described embodiment illustrates can specifically realize by computer chip or entity,
Or it is realized by having the function of certain product.
For convenience of description, it is divided into various units during description apparatus above with function to describe respectively.Certainly, implementing this
The function of each unit is realized can in the same or multiple software and or hardware during application.
As seen through the above description of the embodiments, those skilled in the art can be understood that the application can
It is realized by the mode of software plus required general hardware platform.Based on such understanding, the technical solution essence of the application
On the part that the prior art contributes can be embodied in the form of software product in other words, the computer software product
It can be stored in storage medium, such as ROM/RAM, magnetic disc, CD, be used including some instructions so that a computer system
(can be personal computer, server either network system etc.) performs the certain of each embodiment of the application or embodiment
Method described in part.
Each embodiment in this specification is described by the way of progressive, identical similar portion between each embodiment
Point just to refer each other, and the highlights of each of the examples are difference from other examples.Especially for system reality
For applying example, since it is substantially similar to embodiment of the method, so description is fairly simple, related part is referring to embodiment of the method
Part explanation.
The application can be used in numerous general or special purpose computing system environments or configuration.Such as：Personal computer, clothes
Business device computer, hand system or portable system, multicomputer system, the system based on microprocessor, are put at plate system
Top box, programmable consumer electronics system, network PC, minicomputer, mainframe computer, including any of the above system or system
Distributed computing environment etc..
The application can be described in the general context of computer executable instructions, such as program
Module.Usually, program module includes routines performing specific tasks or implementing specific abstract data types, program, object, group
Part, data structure etc..The application can also be put into practice in a distributed computing environment, in these distributed computing environment, by
Task is performed and connected teleprocessing system by communication network.In a distributed computing environment, program module can be with
In the local and remote computer storage media including storage system.
Although depicting the application by embodiment, it will be appreciated by the skilled addressee that the application there are many deformation and
Variation does not depart from spirit herein, it is desirable to which appended claim includes these deformations and the essence changed without departing from the application
God.
Claims (10)
1. a kind of system for analyzing business risk, it is characterized in that, the system comprises data acquisition device, risk class to determine to fill
It puts and Risk Results output device,
Wherein, the data acquisition device, for acquiring the relevant information of enterprise, the relevant information includes news public feelings information
And microblogging public feelings information；
The risk class determining device, for carrying out labeling extraction to the relevant information, analysis obtains the enterprise
Risk class；
The Risk Results output device, for using time dimension as processing rule, the risk class with reference to the enterprise to be defeated
Go out the Risk Results of the enterprise.
2. system according to claim 1, it is characterized in that, the relevant information further includes industrial and commercial essential information, the administration of justice is told
Dispute information, judicial decision information, executed person information of breaking one's promise, administrative penalty information, manage exception information, resist give as security information, on
Enterprise of city bulletin letter breath, Dong supervise high administrative staff's public information and recruitment information.
3. system according to claim 2, it is characterized in that, the risk class determining device includes：
Risk label output module, for according to the relevant information combination OEC models, exporting the risk label of the enterprise；
Enterprise name identification module, for identifying the enterprise according to the risk label and company's name entity identification algorithms
Title, the risk label after being identified；
Title standardization module, is standardized for the title to the enterprise, after obtaining standardization
Risk label；
Grade Weight Acquisition module, for obtaining preset risk class and Risk rated ratio value, according to described risk etc.
Grade and Risk rated ratio value determine the risk class of the risk label after standardization, and the risk class is the enterprise
The risk class of industry.
4. system according to claim 3, it is characterized in that, the Risk Results output device includes：
Risk class acquisition module, for obtaining the risk class of the enterprise from the risk class determining device；
Time dimension acquisition module, for obtaining time dimension from the relevant information；
Risk Results output module for the time dimension to be supplemented to the risk class of the enterprise, obtains the enterprise
Risk Results.
5. a kind of method for analyzing business risk, it is characterized in that, the method includes：
The relevant information of enterprise is acquired, the relevant information includes news public feelings information and microblogging public feelings information；
Labeling extraction is carried out to the relevant information, analysis obtains the risk class of the enterprise；
Using time dimension as processing rule, the Risk Results of the enterprise are exported with reference to the risk class of the enterprise.
6. according to the method described in claim 5, it is characterized in that, the relevant information further includes industrial and commercial essential information, the administration of justice is told
Dispute information, judicial decision information, executed person information of breaking one's promise, administrative penalty information, manage exception information, resist give as security information, on
Enterprise of city bulletin letter breath, Dong supervise high administrative staff's public information and recruitment information.
7. according to the method described in claim 6, it is characterized in that, labeling extraction is carried out to the relevant information, analysis obtains
The risk class of the enterprise includes：
According to the relevant information combination OEC models, the risk label of the enterprise is exported；
The title of the enterprise, the wind after being identified are identified according to the risk label and company's name entity identification algorithms
Dangerous label；
The title of the enterprise is standardized, obtains the risk label after standardization；
Preset risk class and Risk rated ratio value are obtained, is determined according to the risk class and Risk rated ratio value
The risk class of risk label after standardization, the risk class are the risk class of the enterprise.
8. according to the method described in claim 7, it is characterized in that, using time dimension as processing rule, with reference to the enterprise
The Risk Results that risk class exports the enterprise include：
Obtain the risk class of the enterprise；
Time dimension is obtained from the relevant information；
The time dimension is supplemented to the risk class of the enterprise, obtains the Risk Results of the enterprise.
9. a kind of computer equipment including memory, processor and stores the meter that can be run on a memory and on a processor
Calculation machine program, which is characterized in that the processor realizes any side of claim 5 to 8 when performing the computer program
Method.
10. a kind of computer readable storage medium, which is characterized in that the computer-readable recording medium storage has perform claim
It is required that the computer program of 5 to 8 any the methods.
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Cited By (17)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109064067A (en) * | 2018-09-17 | 2018-12-21 | 杭州安恒信息技术股份有限公司 | Financial risks subject of operation determination method and device Internet-based |
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1490754A (en) * | 2002-09-03 | 2004-04-21 | Method and system for comprehensive enterprise risk audit and management | |
| CN103886501A (en) * | 2014-04-08 | 2014-06-25 | 苏州大学 | Post-loan risk early warning system based on semantic sentiment analysis |
| CN105701693A (en) * | 2015-12-31 | 2016-06-22 | 浙江图讯科技股份有限公司 | Enterprise credit evaluation method based on deep learning |
| CN105893583A (en) * | 2016-04-01 | 2016-08-24 | 北京鼎泰智源科技有限公司 | Data acquisition method and system based on artificial intelligence |
| CN106203831A (en) * | 2016-07-05 | 2016-12-07 | 杨林 | A kind of power supply enterprise Electronic Archival Security risk evaluating system |
| CN107451710A (en) * | 2017-04-27 | 2017-12-08 | 北京鼎泰智源科技有限公司 | A kind of Information Risk grade five-category method and system |
-
2017
- 2017-12-27 CN CN201711446480.4A patent/CN108229806A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1490754A (en) * | 2002-09-03 | 2004-04-21 | Method and system for comprehensive enterprise risk audit and management | |
| CN103886501A (en) * | 2014-04-08 | 2014-06-25 | 苏州大学 | Post-loan risk early warning system based on semantic sentiment analysis |
| CN105701693A (en) * | 2015-12-31 | 2016-06-22 | 浙江图讯科技股份有限公司 | Enterprise credit evaluation method based on deep learning |
| CN105893583A (en) * | 2016-04-01 | 2016-08-24 | 北京鼎泰智源科技有限公司 | Data acquisition method and system based on artificial intelligence |
| CN106203831A (en) * | 2016-07-05 | 2016-12-07 | 杨林 | A kind of power supply enterprise Electronic Archival Security risk evaluating system |
| CN107451710A (en) * | 2017-04-27 | 2017-12-08 | 北京鼎泰智源科技有限公司 | A kind of Information Risk grade five-category method and system |
Cited By (22)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109118051A (en) * | 2018-07-17 | 2019-01-01 | 阿里巴巴集团控股有限公司 | The identification of risk trade company and method of disposal, device and server based on network public-opinion |
| CN109064067A (en) * | 2018-09-17 | 2018-12-21 | 杭州安恒信息技术股份有限公司 | Financial risks subject of operation determination method and device Internet-based |
| CN109064067B (en) * | 2018-09-17 | 2021-09-28 | 杭州安恒信息技术股份有限公司 | Financial risk operation subject determination method and device based on Internet |
| CN109657894A (en) * | 2018-09-27 | 2019-04-19 | 深圳壹账通智能科技有限公司 | Credit Risk Assessment of Enterprise method for early warning, device, equipment and storage medium |
| CN109214904A (en) * | 2018-10-11 | 2019-01-15 | 平安科技（深圳）有限公司 | Acquisition methods, device, computer equipment and the storage medium of financial fraud clue |
| CN109523117A (en) * | 2018-10-11 | 2019-03-26 | 平安科技（深圳）有限公司 | Risk Forecast Method, device, computer equipment and storage medium |
| CN109508373A (en) * | 2018-11-13 | 2019-03-22 | 深圳前海微众银行股份有限公司 | Calculation method, equipment and the computer readable storage medium of enterprise's public opinion index |
| CN109508373B (en) * | 2018-11-13 | 2021-08-06 | 深圳前海微众银行股份有限公司 | Method and device for calculating enterprise public opinion index and computer readable storage medium |
| CN110717667A (en) * | 2019-09-30 | 2020-01-21 | 上海上实龙创智慧能源科技股份有限公司 | Client and supplier qualification risk prediction alarm system and method |
| CN111241300A (en) * | 2020-01-09 | 2020-06-05 | 中信银行股份有限公司 | Public opinion early warning and risk propagation analysis method, system, equipment and storage medium |
| CN111582751A (en) * | 2020-05-19 | 2020-08-25 | 国网吉林省电力有限公司 | Time-weighted electricity purchasing risk early warning method |
| CN111582751B (en) * | 2020-05-19 | 2022-06-14 | 国网吉林省电力有限公司 | Time-weighted electricity purchasing risk early warning method |
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| CN111861255A (en) * | 2020-07-30 | 2020-10-30 | 北京金堤征信服务有限公司 | Enterprise risk monitoring method and device, storage medium and electronic equipment |
| CN112711651A (en) * | 2020-12-30 | 2021-04-27 | 上海金仕达软件科技有限公司 | Public opinion monitoring method and system |
| CN112686679A (en) * | 2020-12-31 | 2021-04-20 | 天津工业大学 | Intelligent analysis system and method for customer incidence relation |
| CN113342972A (en) * | 2021-05-24 | 2021-09-03 | 支付宝(杭州)信息技术有限公司 | Public opinion recognition model training method and system and public opinion risk monitoring method and system |
| CN113342972B (en) * | 2021-05-24 | 2023-02-28 | 支付宝(杭州)信息技术有限公司 | Public opinion recognition model training method and system and public opinion risk monitoring method and system |
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| CN116629620B (en) * | 2023-07-26 | 2024-02-02 | 太平金融科技服务(上海)有限公司深圳分公司 | Risk level determining method and device, electronic equipment and storage medium |
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