CN114154813A - Enterprise mining method and device - Google Patents
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Abstract
The invention discloses an enterprise mining method and device, wherein the method comprises the steps of firstly, after information of an enterprise is obtained, extracting target data of the enterprise by using a data extraction rule, and generating a corresponding label for the enterprise based on the target data; and then after receiving a label query request sent by the page, sending the enterprise related information conforming to the label to the page. Through the label of establishing the enterprise, and then through the mode of inquiry label, realize the enterprise and excavate, the characteristics of definite enterprise that can be quick understand the enterprise accurately, and then solved in the correlation technique, the enterprise excavates for a long time, the inefficiency problem.
Description
Technical Field
The disclosure relates to the technical field of data processing, in particular to an enterprise mining method and device.
Background
When an enterprise is mined, all information is required to be manually browsed once, so that the enterprise can have a rough impression, the time spent by adopting the method is long, and the emphasis cannot be achieved.
Disclosure of Invention
The main purpose of the present disclosure is to provide an enterprise mining method and apparatus.
In order to achieve the above object, according to a first aspect of the present disclosure, there is provided an enterprise mining method, including: after the information of the enterprise is obtained, extracting target data of the enterprise by using a data extraction rule, and generating a corresponding label for the enterprise based on the target data; and after receiving a tag query request sent by the page, sending the enterprise related information conforming to the tag to the page.
Optionally, the method further comprises: defining the caliber of the label according to a preset index system; and establishing a data extraction rule based on the defined aperture.
Optionally, after obtaining the information of the enterprise, extracting the target data of the enterprise based on the data extraction rule includes: extracting basic attribute information in the information of the enterprise based on a preset basic attribute index by using a data extraction rule, and marking the basic attribute information of the enterprise; extracting enterprise evaluation information in enterprise information based on preset enterprise evaluation indexes by using a data extraction rule, and marking the enterprise evaluation information; and/or extracting specific behavior information in the information of the enterprise based on preset enterprise evaluation indexes by using the data extraction rule, and marking the specific behavior information.
Optionally, after receiving a tag query request sent by a page, sending the enterprise association conforming to the tag to the page includes: after receiving the label selected by the page, retrieving the enterprise related information conforming to the selected label from the database and sending the enterprise related information to the page; and/or after receiving keywords input through the page, retrieving enterprise related information corresponding to the keywords from a database and sending the enterprise related information to the page.
Optionally, the method further comprises: receiving an enterprise customization condition of a page, wherein a tag selected by the customization condition is determined; and pushing related information of the enterprise meeting the customization conditions to the page at preset intervals.
According to a second aspect of the present disclosure, there is provided an enterprise excavation apparatus, comprising: the system comprises a tag unit, a data extraction unit and a data processing unit, wherein the tag unit is configured to extract target data of an enterprise by using a data extraction rule after acquiring information of the enterprise, and generate a corresponding tag for the enterprise based on the target data; and the determining unit is configured to send the enterprise related information conforming to the label to the page after receiving the label query request sent by the page.
The device still includes: the definition unit is configured to define the caliber of the label according to a preset index system; a rule establishing unit configured to establish a data extraction rule based on the defined aperture.
Optionally, after obtaining the information of the enterprise, extracting the target data of the enterprise based on the data extraction rule includes: extracting basic attribute information in the information of the enterprise based on a preset basic attribute index by using a data extraction rule, and marking the basic attribute information of the enterprise; extracting enterprise evaluation information in enterprise information based on preset enterprise evaluation indexes by using a data extraction rule, and marking the enterprise evaluation information; and/or extracting specific behavior information in the information of the enterprise based on preset enterprise evaluation indexes by using the data extraction rule, and marking the specific behavior information.
According to a third aspect of the present disclosure, there is provided a computer-readable storage medium storing computer instructions for causing a computer to execute the enterprise mining method according to any one of the implementation manners of the first aspect.
According to a fourth aspect of the present disclosure, there is provided an electronic device comprising: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores a computer program executable by the at least one processor, the computer program being executable by the at least one processor to cause the at least one processor to perform the enterprise mining method of any one of the implementations of the first aspect.
In the enterprise mining method and device in the embodiment of the disclosure, firstly, after information of an enterprise is obtained, target data of the enterprise is extracted by using a data extraction rule, and a corresponding label is generated for the enterprise based on the target data; and then after receiving a label query request sent by the page, sending the enterprise related information conforming to the label to the page. Through the label of establishing the enterprise, and then through the mode of inquiry label, realize the enterprise and excavate, the characteristics of definite enterprise that can be quick understand the enterprise accurately, and then solved in the correlation technique, the enterprise excavates for a long time, the inefficiency problem.
Drawings
In order to more clearly illustrate the embodiments of the present disclosure or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present disclosure, and other drawings can be obtained by those skilled in the art without creative efforts.
FIG. 1 is a flow diagram of an enterprise mining method according to an embodiment of the present disclosure;
FIG. 2 is a diagram of an application scenario of an enterprise mining method according to an embodiment of the present disclosure;
FIG. 3 is a diagram of another application scenario of an enterprise mining method according to an embodiment of the present disclosure;
FIG. 4 is a diagram of yet another application scenario for an enterprise mining method according to an embodiment of the present disclosure;
fig. 5 is a schematic diagram of an electronic device according to an embodiment of the disclosure.
Detailed Description
In order to make the technical solutions of the present disclosure better understood by those skilled in the art, the technical solutions of the embodiments of the present disclosure will be clearly and completely described below with reference to the drawings in the embodiments of the present disclosure, and it is obvious that the described embodiments are only some embodiments of the present disclosure, not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments disclosed herein without making any creative effort, shall fall within the protection scope of the present disclosure.
It should be noted that the terms "first," "second," and the like in the description and claims of the present disclosure and in the above-described drawings are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It should be understood that the data so used may be interchanged under appropriate circumstances such that embodiments of the present disclosure may be described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
It should be noted that, in the present disclosure, the embodiments and features of the embodiments may be combined with each other without conflict. The present disclosure will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.
According to an embodiment of the present disclosure, there is provided an enterprise mining method, as shown in fig. 1, the method includes the following steps 101 to 102:
step 101: after the information of the enterprise is obtained, target data of the enterprise is extracted by using the data extraction rule, and a corresponding label is generated for the enterprise based on the target data.
In this embodiment, the information of the enterprise may be obtained from a website or any other channel, and the information of the enterprise may include license information, stakeholder and funding information, personnel information, branch information, change information, financial information, and the like. The data can be extracted based on the acquired information and a preset data extraction rule, then the extracted data is marked to be used as labels of enterprises, and one enterprise can correspond to a plurality of labels.
The various tags of the enterprise are just like another identity of the enterprise. The labels are used for classifying, positioning and subdividing various indexes of the enterprise so as to distinguish different characteristics of the enterprise.
As an optional implementation manner of this embodiment, the method further includes: defining the caliber of the label according to a preset index system; and establishing a data extraction rule based on the defined aperture.
In this alternative implementation, before marking the extracted data, a caliber needs to be defined for each tag, and then a data extraction rule can be established based on the defined caliber, and the extraction rule can be used for extracting the data. The preset index system can comprise multiple levels of indexes, and each level of index comprises at least one type of index as a label of an enterprise. The indexes can comprise basic attribute indexes of enterprises, enterprise evaluation indexes, specific behavior indexes, industry indexes of the enterprises, regional indexes of the enterprises and business/operation indexes of the enterprises.
Basic attribute metrics may include, but are not limited to: enterprise type indicators (e.g., nationwide enterprise indicators, collective enterprise indicators, liability limit indicators, shares limit indicators, etc., as primary indicators), enterprise age indicators (e.g., [ within 3 months ] indicators, [3 months, 6 months ] indicators, etc., as primary indicators), registered capital indicators (e.g., 0-ary indicators, 0-10 ten thousand indicators, etc., as primary indicators).
The enterprise evaluation index may include a composite evaluation index (e.g., a credit rating index as a primary index, etc.), a itemized evaluation index (e.g., an innovation qualification index, a legal compliance index, an administration status index, a financial status index, a scale volume index, a behavior preference index, etc., as a primary index).
The specific behavior index may include a latest intellectual property index (e.g., a latest patent index, a latest trademark index, etc. as a primary index), a development expansion index (e.g., a latest branch index, a latest investor index), an operation change index (e.g., a latest bid index, an enterprise change index), a compliance information index (e.g., a latest complaint index, a latest court announcement index, a latest enterprise loss index, a latest legal document index).
Business/operational indicators for an enterprise may include equity characteristic indicators (e.g., shareholder total assets indicators, shareholder absolute control indicators, shareholder relative control indicators, equity score indicators, etc., as primary indicators), operational characteristic indicators, development/scale indicators, business characteristic indicators, popularity indicators, risk information indicators, and so forth.
It is understood that each of the primary indicators may include a secondary indicator, a tertiary indicator, etc. as desired. After data extraction is performed according to the extraction rule, automatic judgment conditions can be set for condition judgment, so that the label type corresponding to the enterprise information is determined.
According to the optional implementation mode, aiming at a large amount of enterprise information, the data can be extracted purposefully and directionally by adopting the rule.
As an optional implementation manner of this embodiment, extracting target data of an enterprise based on a data extraction rule includes: extracting basic attribute information in the information of the enterprise based on a preset basic attribute index by using a data extraction rule, and marking the basic attribute information of the enterprise; extracting enterprise evaluation information in enterprise information based on preset enterprise evaluation indexes by using a data extraction rule, and marking the enterprise evaluation information; and/or extracting specific behavior information in the information of the enterprise based on preset enterprise evaluation indexes by using the data extraction rule, and marking the specific behavior information.
In this optional implementation manner, after the information is acquired, the target data may be extracted based on the established data extraction rule. For example, the aperture of the "service expansion" tag is predefined to be that a plurality of branches are opened or a plurality of subsidiaries are established in nearly half a year, or a large amount of recruitment is available in nearly half a year, or a plurality of bids are placed in nearly half a year, etc., a database extraction rule may be formed according to the aperture, after (a large amount of) enterprise information is acquired, data extraction may be performed based on the extraction rule, and then an enterprise whose extracted data meets the above conditions may be marked with the "service expansion" tag. The tag may be stored in a database as a tag for the business.
Step 102: and after receiving a tag query request sent by the page, sending the enterprise related information conforming to the tag to the page.
In this embodiment, the page may be a query page, and the user may query the enterprise information through the page. Accurate positioning of the enterprise can be achieved through query.
As an optional implementation manner of this embodiment, after receiving a tag selected through a page, retrieving enterprise-related information corresponding to the selected tag from a database, and sending the enterprise-related information to the page; and/or after receiving keywords input through the page, retrieving enterprise related information corresponding to the keywords from a database and sending the enterprise related information to the page.
In this alternative implementation, referring to fig. 2, the target tag may be determined in a selected manner, and then the enterprise meeting the target tag is determined based on the target tag, where the number of the selected tags may be one or more, and when there are multiple tags, it is intended to determine the enterprise meeting multiple target tags at the same time.
When the existing tag cannot meet the requirement, the requirement can be determined by a keyword search mode, a certain tag can be determined firstly, and then keywords are input under the certain tag, for example, referring to fig. 3, under the tag of the operating range, "intellectual property right" is input, the server side can determine all enterprise data under the tag of the operating range firstly, then based on the input keywords, determine the enterprise meeting the intellectual property right information under the enterprise data, and send the information of the enterprise to the page.
The keywords can also be directly input, and the server side directly searches based on the keywords.
The method makes up the situation that omission exists in enterprise mining through the tags, and can accurately mine enterprises through a keyword searching mode.
As an optional implementation manner of this embodiment, the method further includes receiving an enterprise customization condition of the page, where a tag selected by the customization condition is determined; and pushing related information of the enterprise meeting the customization conditions to the page at preset intervals.
In this optional implementation manner, the customization of enterprise mining can be realized, enterprises meeting customization conditions can be mined in real time by setting customization conditions, and tags can be selected as customized tags, for example, tags of enterprise types are customization conditions of national enterprise tags. The server side regularly pushes the enterprise list based on the customization condition, and the automatic acquisition function of the enterprise is realized.
Various sorting conditions of the enterprises can be set on the push page, and sorting of different conditions is performed on the pushed enterprises, referring to fig. 4.
This embodiment through establishing the label system, can fix a position this enterprise through several brief labels, has not only practiced thrift the time greatly, can also more comprehensive understanding enterprise's leading features.
It should be noted that the steps illustrated in the flowcharts of the figures may be performed in a computer system such as a set of computer-executable instructions and that, although a logical order is illustrated in the flowcharts, in some cases, the steps illustrated or described may be performed in an order different than presented herein.
According to an embodiment of the present disclosure, there is also provided an apparatus for implementing the above-described enterprise mining method, the apparatus including: the method comprises the following steps: the system comprises a tag unit, a data extraction unit and a data processing unit, wherein the tag unit is configured to extract target data of an enterprise by using a data extraction rule after acquiring information of the enterprise, and generate a corresponding tag for the enterprise based on the target data; and the determining unit is configured to send the enterprise related information conforming to the label to the page after receiving the label query request sent by the page.
As an optional implementation manner of this embodiment, the apparatus further includes: the definition unit is configured to define the caliber of the label according to a preset index system; a rule establishing unit configured to establish a data extraction rule based on the defined aperture.
As an optional implementation manner of this embodiment, after obtaining the information of the enterprise, extracting the target data of the enterprise based on the data extraction rule includes: extracting basic attribute information in the information of the enterprise based on a preset basic attribute index by using a data extraction rule, and marking the basic attribute information of the enterprise; extracting enterprise evaluation information in enterprise information based on preset enterprise evaluation indexes by using a data extraction rule, and marking the enterprise evaluation information; and/or extracting specific behavior information in the information of the enterprise based on preset enterprise evaluation indexes by using the data extraction rule, and marking the specific behavior information.
The embodiment of the present disclosure provides an electronic device, as shown in fig. 5, the electronic device includes one or more processors 51 and a memory 52, where one processor 51 is taken as an example in fig. 5.
The controller may further include: an input device 53 and an output device 54.
The processor 51, the memory 52, the input device 53 and the output device 54 may be connected by a bus or other means, and fig. 5 illustrates the connection by a bus as an example.
The processor 51 may be a Central Processing Unit (CPU). The processor 51 may also be other general purpose processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or combinations thereof. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory 52, which is a non-transitory computer readable storage medium, may be used to store non-transitory software programs, non-transitory computer executable programs, and modules, such as program instructions/modules corresponding to the control methods in the embodiments of the present disclosure. The processor 51 executes various functional applications of the server and data processing, i.e. the enterprise mining method of the above-described method embodiment, by running non-transitory software programs, instructions and modules stored in the memory 52.
The memory 52 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created according to use of a processing device operated by the server, and the like. Further, the memory 52 may include high speed random access memory, and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid state storage device. In some embodiments, the memory 52 may optionally include memory located remotely from the processor 51, which may be connected to a network connection device via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The input device 53 may receive input numeric or character information and generate key signal inputs related to user settings and function control of the processing device of the server. The output device 54 may include a display device such as a display screen.
One or more modules are stored in the memory 52, which when executed by the one or more processors 51 perform the method as shown in fig. 1.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program to instruct related hardware, and the program can be stored in a computer readable storage medium, and when executed, the program can include the processes of the embodiments of the motor control methods described above. The storage medium may be a magnetic disk, an optical disk, a Read-only memory (ROM), a Random Access Memory (RAM), a flash memory (FlashMemory), a hard disk (hard disk drive, abbreviated as HDD) or a Solid State Drive (SSD), etc.; the storage medium may also comprise a combination of memories of the kind described above.
Although the embodiments of the present disclosure have been described in conjunction with the accompanying drawings, those skilled in the art may make various modifications and variations without departing from the spirit and scope of the present disclosure, and such modifications and variations fall within the scope defined by the appended claims.
Claims (10)
1. An enterprise mining method, comprising:
after the information of the enterprise is obtained, extracting target data of the enterprise by using a data extraction rule, and generating a corresponding label for the enterprise based on the target data;
and after receiving a tag query request sent by the page, sending the enterprise related information conforming to the tag to the page.
2. The enterprise mining method of claim 1, further comprising:
defining the caliber of the label according to a preset index system;
and establishing a data extraction rule based on the defined aperture.
3. The enterprise mining method of claim 2, wherein after obtaining the information of the enterprise, extracting the target data of the enterprise based on the data extraction rule comprises:
extracting basic attribute information in the information of the enterprise based on a preset basic attribute index by using a data extraction rule, and marking the basic attribute information of the enterprise;
extracting enterprise evaluation information in enterprise information based on preset enterprise evaluation indexes by using a data extraction rule, and marking the enterprise evaluation information;
and/or extracting specific behavior information in the information of the enterprise based on preset enterprise evaluation indexes by using the data extraction rule, and marking the specific behavior information.
4. The enterprise mining method of claim 1, wherein sending enterprise relevance that meets the tag to the page after receiving a tag query request sent by the page comprises:
after receiving the label selected by the page, retrieving the enterprise related information conforming to the selected label from the database and sending the enterprise related information to the page;
and/or after receiving keywords input through the page, retrieving enterprise related information corresponding to the keywords from a database and sending the enterprise related information to the page.
5. The enterprise mining method of claim 1, further comprising:
receiving an enterprise customization condition of a page, wherein a tag selected by the customization condition is determined;
and pushing related information of the enterprise meeting the customization conditions to the page at preset intervals.
6. An enterprise excavation apparatus, comprising:
the system comprises a tag unit, a data extraction unit and a data processing unit, wherein the tag unit is configured to extract target data of an enterprise by using a data extraction rule after acquiring information of the enterprise, and generate a corresponding tag for the enterprise based on the target data;
and the determining unit is configured to send the enterprise related information conforming to the label to the page after receiving the label query request sent by the page.
7. The enterprise excavation apparatus of claim 6, further comprising:
the definition unit is configured to define the caliber of the label according to a preset index system;
a rule establishing unit configured to establish a data extraction rule based on the defined aperture.
8. The enterprise mining device of claim 6, wherein after obtaining the information about the enterprise, extracting the target data about the enterprise based on the data extraction rules comprises:
extracting basic attribute information in the information of the enterprise based on a preset basic attribute index by using a data extraction rule, and marking the basic attribute information of the enterprise;
extracting enterprise evaluation information in enterprise information based on preset enterprise evaluation indexes by using a data extraction rule, and marking the enterprise evaluation information;
and/or extracting specific behavior information in the information of the enterprise based on preset enterprise evaluation indexes by using the data extraction rule, and marking the specific behavior information.
9. A computer-readable storage medium having stored thereon computer instructions for causing a computer to perform the enterprise mining method of any one of claims 1-6.
10. An electronic device, comprising: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores a computer program executable by the at least one processor, the computer program being executable by the at least one processor to cause the at least one processor to perform the enterprise mining method of any one of claims 1-6.
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| CN120508659A (en) * | 2025-07-18 | 2025-08-19 | 北京火山引擎科技有限公司 | Label generation method, device, equipment and product based on large model and configuration |
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