CN110263816B - Enterprise classification method and device - Google Patents
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Abstract
The application discloses a classification method of enterprises, which comprises the following steps: monitoring business data of businesses engaged in business; obtaining the business category actually engaged by the enterprise according to the business data; judging whether the business category actually engaged by the enterprise meets the preset requirements of each business category of the financial business or not; if the business category actually engaged by the enterprise is judged to meet the preset requirements of each business category of the financial business, the business identifier contained in the business data corresponding to the business category actually engaged by the enterprise is stored in a database. The invention acquires the business category actually engaged in by monitoring the business data of the business engaged in by the enterprise, thereby solving the problem of real-time monitoring of the business category of the existing enterprise.
Description
Technical Field
The present disclosure relates to the field of computer technologies, and in particular, to a method and an apparatus for classifying enterprises.
Background
The financial industry of China has been reformed and developed for many years, and has been in the way of supervising the traditional financial fields of banks, securities, insurance and the like. But with the increasingly abundant financial business states across industries and market and the high-speed development of the mobile internet, local financial risks are characterized by high outbreak frequency, quick spread, wide audience, various forms and the like, and new challenges are brought to financial supervision.
Therefore, the business classification of the existing enterprises needs to be monitored in real time so as to strengthen the supervision of the related enterprises.
Disclosure of Invention
In view of this, the embodiments of the present application provide a method and an apparatus for classifying an enterprise, which are used for monitoring the service classification of an existing enterprise in real time.
The embodiment of the application adopts the following technical scheme:
the embodiment of the application provides a classification method of enterprises, which comprises the following steps:
monitoring business data of businesses engaged in business;
obtaining the business category actually engaged by the enterprise according to the business data;
judging whether the business category actually engaged by the enterprise meets the preset requirements of each business category of the financial business or not;
if the business category actually engaged by the enterprise is judged to meet the preset requirements of each business category of the financial business, the business identifier contained in the business data corresponding to the business category actually engaged by the enterprise is stored in a database.
Optionally, the obtaining the business category actually engaged by the enterprise according to the business data specifically includes:
and obtaining the business category actually engaged by the enterprise according to the enterprise identifier contained in the business data.
Optionally, the obtaining the business category actually engaged by the business according to the business identifier included in the business data specifically includes:
and obtaining the business category actually engaged by the enterprise from the database and/or the Internet data according to the enterprise identifier contained in the business data.
Optionally, after the service class actually engaged by the enterprise is obtained according to the service data, the method further includes:
judging whether a database stores the business category actually engaged in by the enterprise to obtain a first judging result;
judging whether the Internet data can prove that the enterprise actually engages in the business category or not, and obtaining a second judging result;
after the acquired characters related to the enterprise are processed through a text algorithm, judging whether the enterprise can prove that the enterprise actually engages in the business category, and obtaining a third judging result;
and obtaining the accuracy of the business category actually engaged by the enterprise according to the first judging result and/or the second judging result and/or the third judging result.
Optionally, after the determining that the business category actually engaged by the enterprise meets the preset requirement of each business category of the financial business, the method further includes:
judging whether the business category of the enterprise in the database accords with the business category actually engaged in by the enterprise;
and if the business category of the enterprise in the database is judged to be inconsistent with the business category actually engaged in by the enterprise, executing the step of storing the enterprise identifier contained in the business data corresponding to the business category actually engaged in by the enterprise in the database.
Optionally, the business category of the enterprise in the database does not coincide with the business category actually engaged in by the enterprise, which specifically includes:
one or more of the business categories actually engaged in by the business are not stored in the database, or the business category of the business stored in the database is different from the business category actually engaged in by the business.
Optionally, the method further comprises:
when the business categories actually engaged in by the enterprise comprise two or more than two kinds, the proportion of each business category is respectively displayed under the preset condition.
Optionally, the preset condition includes a proportion of camp to camp of the company, a proportion of cost to total cost of the company, a proportion of influence of the audience, or a proportion of influence of public opinion.
The embodiment of the application also provides a classification device of an enterprise, which comprises:
the monitoring unit is used for monitoring business data of businesses engaged in business;
the acquisition unit is used for acquiring the business category actually engaged by the enterprise according to the business data;
the judging unit is used for judging whether the business category actually engaged by the enterprise meets the preset requirements of each business category of the financial business;
and the processing unit is used for storing the enterprise identifier contained in the business data corresponding to the business category actually engaged by the enterprise in the database if the business category actually engaged by the enterprise is judged to meet the preset requirements of each business category of the financial business.
Optionally, the acquiring unit specifically includes:
and obtaining the business category actually engaged by the enterprise according to the enterprise identifier contained in the business data.
Optionally, the acquiring unit specifically includes:
and obtaining the business category actually engaged by the enterprise from the database and/or the Internet data according to the enterprise identifier contained in the business data.
Optionally, the apparatus further includes:
the result unit is used for judging whether the database stores the business category actually engaged in by the enterprise to obtain a first judgment result; judging whether the Internet data can prove that the enterprise actually engages in the business category or not, and obtaining a second judging result; after the acquired characters related to the enterprise are processed through a text algorithm, judging whether the enterprise can prove that the enterprise actually engages in the business category, and obtaining a third judging result; and obtaining the accuracy of the business category actually engaged by the enterprise according to the first judging result and/or the second judging result and/or the third judging result.
Optionally, the judging unit is further configured to judge whether the business class of the enterprise in the database matches with the business class actually engaged in by the enterprise;
the processing unit is specifically configured to execute the step of storing, in the database, the enterprise identifier included in the business data corresponding to the business category actually engaged by the enterprise if it is determined that the business category of the enterprise in the database does not match the business category actually engaged by the enterprise.
Optionally, the business category of the enterprise in the database does not coincide with the business category actually engaged in by the enterprise, which specifically includes:
one or more of the business categories actually engaged in by the business are not stored in the database, or the business category of the business stored in the database is different from the business category actually engaged in by the business.
Optionally, the apparatus further includes:
and the display unit is used for respectively displaying the proportion of each business category under the preset condition when the business categories actually engaged in by the enterprise comprise two or more than two kinds.
Optionally, the preset condition includes a proportion of camp to camp of the company, a proportion of cost to total cost of the company, a proportion of influence of the audience, or a proportion of influence of public opinion.
The embodiments also provide a classification device for an enterprise, the device comprising a memory for storing computer program instructions and a processor for executing the program instructions, wherein the computer program instructions, when executed by the processor, trigger the following means of the device:
the monitoring unit is used for monitoring business data of businesses engaged in business;
the acquisition unit is used for acquiring the business category actually engaged by the enterprise according to the business data;
the judging unit is used for judging whether the business category actually engaged by the enterprise meets the preset requirements of each business category of the financial business;
and the processing unit is used for storing the enterprise identifier contained in the business data corresponding to the business category actually engaged by the enterprise in the database if the business category actually engaged by the enterprise is judged to meet the preset requirements of each business category of the financial business.
The at least one technical scheme adopted by the embodiment of the application can achieve the following beneficial effects: the invention acquires the business category actually engaged in by monitoring the business data of the business engaged in by the enterprise, thereby solving the problem of real-time monitoring of the business category of the existing enterprise.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiments of the application and together with the description serve to explain the application and do not constitute an undue limitation to the application. In the drawings:
fig. 1 is a flow chart of a classification method of an enterprise according to an embodiment of the present disclosure;
fig. 2 is a flow chart of a classification method of an enterprise according to a second embodiment of the present disclosure;
fig. 3 is a schematic diagram of determining whether an enterprise a has an out-of-range operation in the second embodiment of the present disclosure;
fig. 4 is a schematic structural diagram of a classification device for enterprises according to a third embodiment of the present disclosure.
Detailed Description
For the purposes, technical solutions and advantages of the present application, the technical solutions of the present application will be clearly and completely described below with reference to specific embodiments of the present application and corresponding drawings. It will be apparent that the described embodiments are only some, but not all, of the embodiments of the present application. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the present disclosure, are within the scope of the present disclosure.
The following describes in detail the technical solutions provided by the embodiments of the present application with reference to the accompanying drawings.
Fig. 1 is a flow chart of a classification method of an enterprise according to an embodiment of the present disclosure, where the flow chart includes:
step S101, monitoring business data of business engaged in by the enterprise.
Step S102, obtaining the business category actually engaged by the enterprise according to the business data.
Step S103, judging whether the business category actually engaged by the enterprise meets the preset requirements of each business category of the financial business, if so, executing step S104, and if not, ending the flow.
Step S104, the enterprise identification contained in the business data corresponding to the business category actually engaged in by the enterprise is stored in the database.
The steps can use massive Internet big data, cloud computing capability and artificial intelligence technology to acquire business categories actually engaged in the enterprise, data related to the enterprise are crawled in batches through a crawler technology during the process, products and production and management conditions of the enterprise are monitored in real time, and once the business categories actually engaged in the enterprise are found to be different from the business data in the database, the business categories of the enterprise are updated in the database of the financial supervision department.
Fig. 2 is a flow chart of a classification method of an enterprise according to a second embodiment of the present disclosure, where the flow chart includes:
step S201, monitoring business data of business engaged in by the enterprise.
Step S202, obtaining the business category actually engaged by the enterprise according to the business data.
In step S202 of the embodiment of the present disclosure, the business data includes an enterprise identifier, where the enterprise identifier is a unique mark of each enterprise, and the embodiment may obtain, according to the enterprise identifier of each enterprise, a business category actually engaged in by each enterprise. The financial supervision department monitors the business data of the business engaged in by the enterprise in real time in the last step, and in this step, the business category actually engaged in by the enterprise is queried through the database and/or the internet data according to the enterprise identification of the enterprise.
In step S202 of the embodiment of the present disclosure, the database in the embodiment may be registration information from the administration of the industry and commerce, specifically including business scope or license plate information of the enterprise, and the internet data may be feedback from microblogs, public numbers, corporate networks, forums, government or third party authoritative websites, license plate disclosure, public opinion, complaints, applets, and various financial authorities throughout the country. According to enterprise identification of enterprises, mass internet big data and cloud computing capability are utilized, products and production and management conditions of the enterprises are monitored in real time through artificial intelligence technology, and all business categories actually engaged in by the enterprises are updated.
Further, in step S202 of the embodiment of the present disclosure, since the business class actually engaged in by the enterprise is acquired by a plurality of channels, false information is unavoidable, and for this purpose, it is necessary to evaluate the accuracy of the acquired business class actually engaged in by the enterprise, which specifically includes: judging whether the database stores the business category actually engaged in by the enterprise to obtain a first judging result, wherein the first judging result reflects whether the enterprise performs business according to the registration information of the business administration, and if the business category actually engaged in by the enterprise is not stored in the database, the phenomenon that the enterprise has out-of-range operation is indicated; judging whether the Internet data prove that the enterprise actually engages in the business class or not, and obtaining a second judging result, wherein the second judging result reflects whether the enterprise actually engages in the business class or not, and possibly, only the business class is engaged in by the enterprise stored in a database, namely, only relevant information is registered in an industrial and commercial administrative office; and after the acquired characters related to the enterprise are processed through a text algorithm, judging whether the enterprise is proved to actually engage in the business category, and obtaining a third judging result, wherein the related characters can be public opinion, complaints, comments and feedback of the published related enterprise, and whether the enterprise is engaged in the business category is analyzed through the related characters.
Further, in step S202 of the embodiment of the present disclosure, the accuracy of the service class actually engaged by the obtained enterprise may be obtained according to different proportions of the first determination result, the second determination result and the third determination result, for example, the proportions of the first determination result, the second determination result and the third determination result are respectively 60%, 30% and 10%, where the first determination result is: the database stores the business category actually engaged in by the enterprise, and the second judgment result is: the internet data cannot prove that the enterprise actually engages in the business category, and the third judgment result is that: after the related text is processed by a text algorithm, the business cannot be proved to be actually engaged in the business category, so that the accuracy of the business category actually engaged in by the acquired business is 60%. In this embodiment, the accuracy of the service class actually engaged in by the obtained enterprise may also be obtained according to different proportions of the first judgment result and the second judgment result, for example, the proportions of the first judgment result and the second judgment result are respectively 70% and 30%, where the first judgment result is: the database stores the business category actually engaged in by the enterprise, and the second judgment result is: the internet data cannot prove that the business is actually engaged in the business category, so the accuracy of the business category actually engaged in by the acquired business is 70%. From the above description, it can be seen that only when all the judging results are satisfied, the business can be exactly proved to be engaged in the business category, otherwise, the business cannot be 100% determined to be engaged in the business category.
In step S202 of the embodiment of the present disclosure, when the business categories actually engaged in by the enterprise include two or more kinds, the proportion of each business category is displayed under the preset condition, for example, each businessThe revenue of business categories accounts for the proportion of company revenue, the cost of each business category accounts for the proportion of total cost of the company, the proportion of audience influence of each business category, and the proportion of public opinion influence of each business category. In addition, the exit time of each business category can be displayed, and a decay mechanism is introduced for the exit time of the industry, for example, an enterprise is required to close a platform by a regulatory agency due to illegal funding, and the influence on society due to debt settlement and the like can be continuous, wherein, we define xn=x (t), x (t) is a piecewise function,x (t) falls to 0 when t is greater than a certain threshold, t being the platform exit time.
Step S203, judging whether the business category actually engaged by the enterprise meets the preset requirements of each business category of the financial business, if so, executing step S204, and if not, ending the flow.
In step S203 of the embodiment of the present disclosure, if the financial supervisory department determines that the business category actually engaged in the business does not meet the preset requirement of the financial business category, it is stated that the business may only engage in one piece of financial business data during monitoring, but the business category actually engaged in does not meet the preset requirement of the financial business category, so the financial supervisory department cannot determine the business as a financial business.
In step S203 of the embodiment of the present specification, the preset requirement of the financial business class is a regulatory rule prescribed by a financial regulatory agency, and refers to a business class directly related or indirectly related to money, money circulation, credit, and the like.
Step S204, judging whether the business category of the enterprise in the database accords with the business category actually engaged by the enterprise, if so, ending the flow; if not, step S205 is performed.
In step S204 of the embodiment of the present disclosure, if the business class of the enterprise matches the business class actually engaged in by the enterprise in the database of the financial supervisory department, it is indicated that the enterprise identifier included in the business data corresponding to the business class actually engaged in by the enterprise is already stored in the database, and the enterprise does not have out-of-range operation; if the business category of the enterprise does not accord with the business category actually engaged in by the enterprise in the database of the financial supervision department, the enterprise identification contained in the business data corresponding to the business category actually engaged in by the enterprise is not stored in the database, and the enterprise has out-of-range operation, which specifically comprises the following steps: one or more of the business categories actually engaged by the business are not stored in the database, or the business category of the business stored in the database is different from the business category actually engaged by the business. It is explained that the relevant information is not stored in the database until the actually engaged business class of the enterprise is obtained, i.e. the enterprise is not the business class actually engaged by the enterprise at the time of registration by the business administration, or the enterprise only registers a part of the engaged business classes at the time of registration by the business administration, but in fact the enterprise is engaged in other business classes at the time of registration by the business administration. In addition, the business categories can be divided into a plurality of categories in different dimensions, some emerging business categories may not appear, and when business categories actually engaged in by an enterprise are obtained according to business data, unclassified conditions may appear, so that as long as the business categories are judged to meet the preset requirements of the business categories of the financial business, new business categories can be divided into the business categories of the financial business. For example, when the business categories of the financial business are classified, the business categories are divided into traditional financial business categories and non-traditional financial business categories, and the traditional financial business categories are divided into traditional financial business categories which are firstly stored in a database for small loan companies, financing assurance companies, regional stock right markets, classrooms, financing lease companies, business insurance companies, local asset management companies, investment companies, farmer professional cooperation, social crowd-sourcing institutions, local various exchanges and the like; the novel financial business or cross-border financial business is divided into non-traditional financial business categories, wherein the non-traditional financial business categories comprise network borrowing, internet payment network borrowing (small loan), internet trust, internet consumption finance, internet insurance, stock financing, internet fund sales, privately recruited funds, virtual coins, cash loans and post-money cards, and meanwhile, the non-traditional financial business categories also comprise classifications depending on specific scenes, such as rentals, 0-element ditches, crowd-fund shopping and the like. The service class can be personalized according to actual needs to configure corresponding classification.
In step S205, the enterprise identifier included in the business data corresponding to the business category actually engaged in by the enterprise is stored in the database.
Referring to fig. 3, when the financial supervision department monitors business data of the enterprise a in real time, and uses tools of massive internet big data, cloud computing capability and artificial intelligence technology to obtain cash credits, internet consumption finance and other business categories actually engaged in by the enterprise a, when judging that the business category actually engaged in by the enterprise meets the preset financial business requirement, comparing with a database of the financial supervision department to judge whether the enterprise a has out-of-range operation, if the other business categories in the enterprise a are the same as the other business categories in the database of the supervision department, it is indicated that the enterprise a does not have out-of-range operation, otherwise, it is indicated that the enterprise a has out-of-range operation.
In the embodiment of the specification, massive internet big data, cloud computing capability and artificial intelligence technology are utilized to acquire business categories actually engaged in an enterprise, data related to the enterprise are crawled in batches through a crawler technology during the period, products and production and management conditions of the enterprise are monitored in real time, and once the business categories actually engaged in the enterprise are found to be different from the business data in a database, the business categories of the enterprise are updated in the database of a financial supervision department.
Fig. 4 is a schematic structural diagram of a classification device for enterprises according to the third embodiment of the present disclosure, where the schematic structural diagram includes:
the device comprises: a monitoring unit 1, an acquisition unit 2, a judging unit 3, a processing unit 4, a result unit 5 and a display unit 6.
The monitoring unit 1 is used for monitoring business data of businesses engaged in business;
the obtaining unit 2 is used for obtaining the business category actually engaged by the enterprise according to the business data;
the judging unit 3 is used for judging whether the business category actually engaged by the enterprise meets the preset requirements of each business category of the financial business;
the processing unit 4 is configured to store, in the database, an enterprise identifier included in service data corresponding to a service class actually engaged by the enterprise if it is determined that the service class actually engaged by the enterprise meets a preset requirement of each service class of the financial service.
The acquisition unit 2 specifically includes: and obtaining the business category actually engaged by the enterprise according to the enterprise identifier contained in the business data.
The acquisition unit 2 specifically includes: and obtaining the business category actually engaged by the enterprise from the database and/or the Internet data according to the enterprise identifier contained in the business data.
The result unit 5 is used for judging whether the database stores the business category actually engaged in by the enterprise to obtain a first judgment result; judging whether the Internet data can prove that the enterprise actually engages in the business category, and obtaining a second judging result; after the acquired characters related to the enterprise are processed through a text algorithm, judging whether the enterprise can prove that the enterprise actually engages in the business category, and obtaining a third judging result; and obtaining the accuracy of the business category actually engaged by the enterprise according to the first judging result and/or the second judging result and/or the third judging result.
The judging unit 3 is further configured to judge whether the business class of the enterprise in the database matches with the business class actually engaged in by the enterprise;
the processing unit 4 is specifically configured to execute the step of storing the enterprise identifier included in the business data corresponding to the business category actually engaged by the enterprise in the database if it is determined that the business category of the enterprise in the database does not match the business category actually engaged by the enterprise.
The business category of the enterprise in the database does not accord with the business category actually engaged in by the enterprise, and the method specifically comprises the following steps: one or more of the business categories actually engaged by the business are not stored in the database, or the business category of the business stored in the database is different from the business category actually engaged by the business.
The display unit 6 is configured to display, when the business categories actually engaged in by the enterprise include two or more types, the proportion of each business category under the preset condition.
The preset conditions comprise the proportion of the camp to the camp of the company, the proportion of the cost to the total cost of the company, the proportion of the influence of the audience or the proportion of the influence of the public opinion.
The embodiments also provide a classification device for an enterprise, the device comprising a memory for storing computer program instructions and a processor for executing the program instructions, wherein the computer program instructions, when executed by the processor, trigger the following means of the device:
the monitoring unit is used for monitoring business data of businesses engaged in business;
the acquisition unit is used for acquiring the business category actually engaged by the enterprise according to the business data;
the judging unit is used for judging whether the business category actually engaged by the enterprise meets the preset requirements of each business category of the financial business;
and the processing unit is used for storing the enterprise identifier contained in the business data corresponding to the business category actually engaged by the enterprise in the database if the business category actually engaged by the enterprise is judged to meet the preset requirements of each business category of the financial business.
In the 90 s of the 20 th century, improvements to one technology could clearly be distinguished as improvements in hardware (e.g., improvements to circuit structures such as diodes, transistors, switches, etc.) or software (improvements to the process flow). However, with the development of technology, many improvements of the current method flows can be regarded as direct improvements of hardware circuit structures. Designers almost always obtain corresponding hardware circuit structures by programming improved method flows into hardware circuits. Therefore, an improvement of a method flow cannot be said to be realized by a hardware entity module. For example, a programmable logic device (Programmable Logic Device, PLD) (e.g., field programmable gate array (FieldProgrammable Gate Array, FPGA)) is an integrated circuit whose logic function is determined by the programming of the device by a user. A designer programs to "integrate" a digital system onto a PLD without requiring the chip manufacturer to design and fabricate application-specific integrated circuit chips. Moreover, nowadays, instead of manually manufacturing integrated circuit chips, such programming is mostly implemented by using "logic compiler" software, which is similar to the software compiler used in program development and writing, and the original code before the compiling is also written in a specific programming language, which is called hardware description language (HardwareDescription Language, HDL), but not just one of the hdds, but a plurality of kinds, such as ABEL (Advanced Boolean Expression Language), AHDL (Altera Hardware Description Language), confluence, CUPL (CornellUniversity Programming Language), HDCal, JHDL (Java Hardware Description Language), lava, lola, myHDL, PALASM, RHDL (Ruby Hardware Description Language), etc., VHDL (Very-High-SpeedIntegrated Circuit Hardware Description Language) and Verilog are currently most commonly used. It will also be apparent to those skilled in the art that a hardware circuit implementing the logic method flow can be readily obtained by merely slightly programming the method flow with the several hardware description languages and into an integrated circuit.
The controller may be implemented in any suitable manner, for example, the controller may take the form of, for example, a microprocessor or processor and a computer readable medium storing computer readable program code (e.g., software or firmware) executable by the (micro) processor, logic gates, switches, application specific integrated circuits (Application Specific Integrated Circuit, ASIC), programmable logic controllers, and embedded microcontrollers, examples of which include, but are not limited to, the following microcontrollers: ARC 625D, atmel AT91SAM, microchipPIC F26K20, and Silicone Labs C8051F320, the memory controller may also be implemented as part of the control logic of the memory. Those skilled in the art will also appreciate that, in addition to implementing the controller in a pure computer readable program code, it is well possible to implement the same functionality by logically programming the method steps such that the controller is in the form of logic gates, switches, application specific integrated circuits, programmable logic controllers, embedded microcontrollers, etc. Such a controller may thus be regarded as a kind of hardware component, and means for performing various functions included therein may also be regarded as structures within the hardware component. Or even means for achieving the various functions may be regarded as either software modules implementing the methods or structures within hardware components.
The system, apparatus, module or unit illustrated in the embodiments may be implemented in particular by a computer chip or entity or by a product having a certain function. One typical implementation is a computer. In particular, the computer may be, for example, a personal computer, a laptop computer, a cellular telephone, a camera phone, a smart phone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or a combination of any of these devices.
For convenience of description, the above devices are described as being functionally divided into various units, respectively. Of course, the functions of each element may be implemented in one or more software and/or hardware elements when implemented in the present application.
It will be appreciated by those skilled in the art that 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 flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations 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.
In one typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include volatile memory in a computer-readable medium, random Access Memory (RAM) and/or nonvolatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of computer-readable media.
Computer readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of storage media for a computer include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium, which can be used to store information that can be accessed by a computing device. Computer-readable media, as defined herein, does not include transitory computer-readable media (transmission media), such as modulated data signals and carrier waves.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article or apparatus that comprises the element.
The application may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. The application may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.
In this specification, each embodiment is described in a progressive manner, and identical and similar parts of each embodiment are all referred to each other, and each embodiment mainly describes differences from other embodiments. In particular, for system embodiments, since they are substantially similar to method embodiments, the description is relatively simple, as relevant to see a section of the description of method embodiments.
The foregoing is merely exemplary of the present application and is not intended to limit the present application. Various modifications and changes may be made to the present application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc. which are within the spirit and principles of the present application are intended to be included within the scope of the claims of the present application.
Claims (16)
1. A method of classifying an enterprise, the method comprising:
monitoring business data of businesses engaged in business;
obtaining the business category actually engaged by the enterprise according to the enterprise identifier contained in the business data; the business category is a business category actually engaged in by an enterprise obtained from internet data, wherein the internet data comprises at least one of data fed back from government or third party authoritative websites, public opinion, complaints, applets and various national financial authorities;
after the acquired characters related to the enterprise are processed through a text algorithm, judging whether the enterprise is proved to actually engage in the business category, and obtaining a third judging result; according to the third judging result, the accuracy of the business category actually engaged by the enterprise is obtained; the text related to the enterprise comprises at least one of published public opinion, complaints, comments and feedback;
judging whether the business category actually engaged by the enterprise meets the preset requirements of each business category of the financial business or not;
if the business category actually engaged by the enterprise is judged to meet the preset requirements of each business category of the financial business, the business identifier contained in the business data corresponding to the business category actually engaged by the enterprise is stored in a database.
2. The method for classifying an enterprise according to claim 1, wherein said obtaining a business category actually engaged by the enterprise according to the business data specifically comprises:
and obtaining the business category actually engaged by the enterprise according to the enterprise identifier contained in the business data.
3. The method for classifying enterprises according to claim 2, wherein the step of obtaining the business category actually engaged by the enterprise according to the enterprise identifier included in the business data specifically comprises the following steps:
and obtaining the business category actually engaged by the enterprise from the database and/or the Internet data according to the enterprise identifier contained in the business data.
4. The method for classifying an enterprise according to claim 1, wherein after deriving the business category actually engaged in by the enterprise from the business data, the method further comprises:
judging whether a database stores the business category actually engaged in by the enterprise to obtain a first judging result;
judging whether the Internet data can prove that the enterprise actually engages in the business category or not, and obtaining a second judging result;
after the acquired characters related to the enterprise are processed through a text algorithm, judging whether the enterprise can prove that the enterprise actually engages in the business category, and obtaining a third judging result;
and obtaining the accuracy of the business category actually engaged by the enterprise according to the first judging result and/or the second judging result and/or the third judging result.
5. The method for classifying an enterprise according to claim 1, wherein after determining that the business category actually engaged in by the enterprise meets the preset requirement of each business category of the financial business, the method further comprises:
judging whether the business category of the enterprise in the database accords with the business category actually engaged in by the enterprise;
and if the business category of the enterprise in the database is judged to be inconsistent with the business category actually engaged in by the enterprise, executing the step of storing the enterprise identifier contained in the business data corresponding to the business category actually engaged in by the enterprise in the database.
6. The method for classifying an enterprise as claimed in claim 5, wherein the business class of the enterprise in the database does not match the business class actually engaged in by the enterprise, specifically comprising:
one or more of the business categories actually engaged in by the business are not stored in the database, or the business category of the business stored in the database is different from the business category actually engaged in by the business.
7. The method of classifying an enterprise of claim 1, the method further comprising:
when the business categories actually engaged in by the enterprise comprise two or more than two kinds, the proportion of each business category is respectively displayed under the preset condition.
8. The method for classifying an enterprise as claimed in claim 7, wherein the predetermined condition includes a proportion of revenue to revenue of the enterprise, a proportion of cost to total cost of the enterprise, a proportion of influence of the audience, or a proportion of influence of public opinion.
9. A classification apparatus for an enterprise, the apparatus comprising:
the monitoring unit is used for monitoring business data of businesses engaged in business;
the obtaining unit is used for obtaining the business category actually engaged by the enterprise according to the enterprise identifier contained in the business data; the business category is a business category actually engaged in by an enterprise obtained from internet data, wherein the internet data comprises at least one of data fed back from government or third party authoritative websites, public opinion, complaints, applets and various national financial authorities;
after the acquired characters related to the enterprise are processed through a text algorithm, judging whether the enterprise is proved to actually engage in the business category, and obtaining a third judging result; according to the third judging result, the accuracy of the business category actually engaged by the enterprise is obtained; the text related to the enterprise comprises at least one of published public opinion, complaints, comments and feedback;
the judging unit is used for judging whether the business category actually engaged by the enterprise meets the preset requirements of each business category of the financial business;
and the processing unit is used for storing the enterprise identifier contained in the business data corresponding to the business category actually engaged by the enterprise in the database if the business category actually engaged by the enterprise is judged to meet the preset requirements of each business category of the financial business.
10. The enterprise classification apparatus of claim 9, wherein the acquisition unit specifically comprises:
and obtaining the business category actually engaged by the enterprise according to the enterprise identifier contained in the business data.
11. The enterprise classification apparatus of claim 10, wherein the acquisition unit specifically comprises:
and obtaining the business category actually engaged by the enterprise from the database and/or the Internet data according to the enterprise identifier contained in the business data.
12. The enterprise classification apparatus of claim 9, the apparatus further comprising:
the result unit is used for judging whether the database stores the business category actually engaged in by the enterprise to obtain a first judgment result; judging whether the Internet data can prove that the enterprise actually engages in the business category or not, and obtaining a second judging result; after the acquired characters related to the enterprise are processed through a text algorithm, judging whether the enterprise can prove that the enterprise actually engages in the business category, and obtaining a third judging result; and obtaining the accuracy of the business category actually engaged by the enterprise according to the first judging result and/or the second judging result and/or the third judging result.
13. The enterprise classification device of claim 9,
the judging unit is further used for judging whether the business category of the enterprise in the database accords with the business category actually engaged in by the enterprise;
the processing unit is specifically configured to execute the step of storing, in the database, the enterprise identifier included in the business data corresponding to the business category actually engaged by the enterprise if it is determined that the business category of the enterprise in the database does not match the business category actually engaged by the enterprise.
14. The enterprise classification device of claim 13,
the business category of the enterprise in the database does not accord with the business category actually engaged in by the enterprise, and the method specifically comprises the following steps:
one or more of the business categories actually engaged in by the business are not stored in the database, or the business category of the business stored in the database is different from the business category actually engaged in by the business.
15. The enterprise classification apparatus of claim 9, the apparatus further comprising:
and the display unit is used for respectively displaying the proportion of each business category under the preset condition when the business categories actually engaged in by the enterprise comprise two or more than two kinds.
16. The apparatus of claim 15, wherein the predetermined condition comprises a proportion of revenue to company revenue, a proportion of cost to total cost of company, a proportion of influence of audience, or a proportion of influence of public opinion.
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