CN112102137A - Policy data processing method, device and storage medium - Google Patents
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Abstract
The application relates to the technical field of data processing, in particular to a policy data processing method, a policy data processing device and a storage medium. The method comprises the following steps: collecting public policy data of government public websites within a preset range; performing association storage on each piece of collected public policy data according to a preset rule to obtain a first association relation; extracting description information in each piece of public policy data through an artificial intelligence algorithm, and determining policy indexes and labels of the public policy data and logic relations among different pieces of public policy data; and storing the policy indexes, the labels and the logic relations of each piece of public policy data in association with the first association relation corresponding to the public policy data to obtain a second association relation. The problem that enterprises in the prior art cannot efficiently acquire the public policy data related to the enterprises is solved.
Description
Technical Field
The present application relates to the field of data processing technologies, and in particular, to a policy data processing method, apparatus, and storage medium.
Background
In order to encourage the development of enterprises, various enterprise-benefiting policies are released from governments of all parts, and then due to various problems that the policies are relatively dispersed, different reporting conditions are declared, information of the governments and the enterprises is not symmetrical and the like, a plurality of enterprises can miss the good policies, so that the enterprise-benefiting policies cannot play the role. Even if enterprise personnel independently inquire, the enterprise personnel cannot efficiently acquire the enterprise-benefiting policy related to the enterprise personnel because various policies are dispersed at present.
Disclosure of Invention
In view of this, embodiments of the present application provide a policy data processing method, apparatus and storage medium to solve the problems in the prior art.
According to a first aspect, an embodiment of the present application provides a policy data processing method, where the method includes:
collecting public policy data of government open websites within a preset range;
performing association storage on each piece of collected public policy data according to a preset rule to obtain a first association relation;
extracting description information in each piece of public policy data through an artificial intelligence algorithm, and determining policy indexes and labels of the public policy data and logic relations among different pieces of public policy data;
and associating and storing the policy indexes, the labels and the logic relations of each piece of public policy data with the first association relation corresponding to the public policy data to obtain a second association relation.
Optionally, the collecting public policy data of government public websites within a preset range includes:
and collecting public policy data in the government public websites within the preset range in real time through a python automatic collection algorithm.
Optionally, the performing, according to a preset rule, associated storage on each piece of the collected public policy data includes:
and for each piece of public policy data, performing associated storage according to a policy title, a policy source, a province and city area to which the policy belongs, a text sending unit to which the policy belongs, a text sending character number and text sending time.
Optionally, before performing the associated storage of the collected public policy data according to the preset rule, the method further includes:
receiving a modification request for modifying the public policy data;
modifying the public policy data according to the modification request;
correspondingly, the performing associated storage on the collected public policy data according to the preset rule includes:
and performing associated storage on the modified public policy data according to the preset rule.
Optionally, the method further includes:
collecting enterprise information disclosed by an enterprise;
for each enterprise, analyzing the association between the enterprise information and each piece of public policy data;
and if the public policy data associated with the enterprise information exists, pushing the public policy data to the enterprise.
Optionally, the collecting enterprise information disclosed by the enterprise includes:
acquiring enterprise information from an enterprise library, wherein the enterprise information of at least two enterprises is recorded in the enterprise library.
Optionally, the analyzing the association between the enterprise information and each piece of public policy data includes:
and for each piece of public policy data, determining whether the enterprise meets the conditions specified by the public policy data according to the enterprise information, wherein the conditions comprise at least one of a registration place, an enterprise scale, an enterprise affiliated field and an enterprise turnover.
Optionally, the method further includes:
receiving a query request, wherein the query request carries query conditions;
and inquiring public policy data meeting the inquiry condition in the second incidence relation.
In a second aspect, a policy data processing apparatus is provided, the apparatus comprising a memory and a processor, the memory having at least one program instruction stored therein, the processor implementing the method of the first aspect by loading and executing the at least one program instruction.
In a third aspect, there is provided a computer storage medium having stored therein at least one program instruction for loading and execution by a processor to implement the method of the first aspect.
Public policy data of government public websites within a preset range are collected; performing association storage on each piece of collected public policy data according to a preset rule to obtain a first association relation; extracting description information in each piece of public policy data through an artificial intelligence algorithm, and determining policy indexes and labels of the public policy data and logic relations among different pieces of public policy data; storing the policy indexes, the labels and the logic relations of each piece of public policy data in association with a first association relation corresponding to the public policy data to obtain a second association relation; the problem that enterprises in the prior art cannot efficiently acquire the public policy data related to the enterprises is solved, the enterprises can accurately and efficiently inquire to obtain the required public policy data according to the first incidence relation and the second incidence relation when the policies are retrieved, and the inquiry efficiency is improved.
Before the public policy data are stored in an associated mode, the public policy data are checked by a checker, the wrong public policy data are corrected, the corrected public policy data are stored in an associated mode, the accuracy of the public policy data stored in the database is guaranteed, and the accuracy of enterprise personnel in policy query is improved.
The foregoing description is only an overview of the technical solutions of the present invention, and in order to make the technical solutions of the present invention more clearly understood and to implement them in accordance with the contents of the description, the following detailed description is given with reference to the preferred embodiments of the present invention and the accompanying drawings.
Drawings
Fig. 1 is a flowchart of a policy data processing method according to an embodiment of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the accompanying drawings, and it should be understood that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In the description of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc., indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, and are only for convenience of description and simplicity of description, but do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be construed as limiting the present invention. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
In the description of the present invention, it should be noted that, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, e.g., as meaning either a fixed connection, a removable connection, or an integral connection; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
In addition, the technical features involved in the different embodiments of the present invention described below may be combined with each other as long as they do not conflict with each other.
Referring to fig. 1, a flowchart of a policy data processing method according to an embodiment of the present application is shown, where as shown in fig. 1, the method includes:
and collecting public policy data in the government public websites within the preset range in real time through a python automatic collection algorithm.
102, performing association storage on each piece of collected public policy data according to a preset rule to obtain a first association relation;
after the public policy data are collected, for each piece of public policy data, the relevant storage is carried out according to the policy title, the policy source, the province and city area where the policy belongs, the text sending unit where the policy belongs, the text sending number and the text sending time.
For example, please refer to the following table, which shows one possible storage manner.
The above is only illustrated by using the above association mode as the association storage, and optionally, more or fewer association modes may also be used for association storage in actual implementation, which is not limited in this embodiment.
It should be added that, the above is only exemplified by directly storing the public policy data after the public policy data is collected, optionally, because the collected public policy data may have errors due to typesetting or original input errors, to avoid errors, before the relevant storage, each collected public policy data may be displayed first, and accordingly, before this step, the method may further include:
(1) receiving a correction request for correcting the public policy data;
the correction request is used to request a correction of part or all of the contents of the public policy data, for example, a correction of the belonging area, the distribution time, and the like in the public policy data.
(2) Correcting the public policy data according to the correction request;
accordingly, the step may include:
and performing associated storage on the modified public policy data according to the preset rule.
After the public policy data is corrected by the auditor, the corrected public policy data can be stored in an associated manner.
103, extracting description information in each piece of public policy data through an artificial intelligence algorithm, and determining policy indexes and labels of the public policy data and logic relations among different pieces of public policy data;
after the public policy data is obtained, detailed information in each piece of public policy data can be automatically extracted through an intelligent AI (Artificial Intelligence), so that a policy index and a label of each piece of public policy data and a logical relationship between each piece of public policy data are obtained.
For example, the policy index and the label extracted from the first open policy data in the table in step 102 may be "talent introduction". For another example, policy 1 and policy 2 are two parallel policies, that is, after applying policy 1, an enterprise cannot apply policy 2, and thus public policy data 1 and public policy data 2 can be obtained as parallel public policy data.
Optionally, the policy indicators and labels may be, for example, science and technology, industry and telecommunications, society, improvement, business, intellectual property, civil and agricultural policy system, and the like, which are not limited herein.
And 104, associating and storing the policy indexes, the labels and the logic relations of each piece of public policy data with the first association relation corresponding to the public policy data to obtain a second association relation.
After the policy index, the label and the logic relationship are obtained, the policy index, the label and the logic relationship of each piece of public policy data and the first association relationship corresponding to the piece of public policy data are stored in an associated manner, and then a second association relationship is obtained.
Optionally, the first association relationship and the second association relationship may be stored in a database, where the database may be a Java language, MySQL (relational database) database.
In conclusion, the public policy data of the government public websites in the preset range are collected; performing association storage on each piece of collected public policy data according to a preset rule to obtain a first association relation; extracting description information in each piece of public policy data through an artificial intelligence algorithm, and determining policy indexes and labels of the public policy data and logic relations among different pieces of public policy data; storing the policy indexes, the labels and the logic relations of each piece of public policy data in association with a first association relation corresponding to the public policy data to obtain a second association relation; the problem that enterprises in the prior art cannot efficiently acquire the public policy data related to the enterprises is solved, the enterprises can accurately and efficiently inquire to obtain the required public policy data according to the first incidence relation and the second incidence relation when the policies are retrieved, and the inquiry efficiency is improved.
Before the public policy data are stored in an associated mode, the public policy data are checked by a checker, the wrong public policy data are corrected, the corrected public policy data are stored in an associated mode, the accuracy of the public policy data stored in the database is guaranteed, and the accuracy of enterprise personnel in policy query is improved.
Optionally, in each of the above embodiments, the method further includes the following steps:
(1) acquiring enterprise information disclosed by an enterprise;
the method comprises the following steps: enterprise information is collected by visiting enterprise websites of enterprises, or enterprise information is obtained from an enterprise library, and the enterprise information of at least two enterprises is recorded in the enterprise library.
The enterprise information includes: at least one of an enterprise mailbox, an enterprise size, an enterprise turnover, an enterprise domain, an enterprise registry, an enterprise contact phone, an enterprise vendor, and an enterprise product list.
(2) Analyzing the relevance between the enterprise information and each piece of public policy data for each enterprise;
the association in this step includes: whether the enterprise meets the application conditions of the public policy data. Optionally, this step may include: and for each piece of public policy data, determining whether the enterprise meets the conditions specified by the public policy data according to the enterprise information, wherein the conditions comprise at least one of a registration place, an enterprise scale, an enterprise affiliated field and an enterprise turnover.
In actual implementation, the association may be analyzed through the intelligent AI, which is not limited in this embodiment. Of course, the above-mentioned correlation can also be analyzed by using hadoop big data and ELS architecture system, which is not limited in this embodiment.
(3) And if the public policy data exists in the public policy data associated with the enterprise information, pushing the public policy data to the enterprise.
When the public policy data associated with the enterprise information is analyzed, it indicates that the enterprise may need to query the public policy data, and at this time, the public policy data may be pushed to the enterprise.
Optionally, the step may be: and pushing the public policy data to the enterprise mailbox in the acquired enterprise information. Or, the public policy data is pushed to the enterprise by means of short message or fax, and the specific implementation manner is not limited.
By automatically analyzing the relevance between the enterprise and the public policy data, when the analysis result is that the relevance exists, the public policy data is automatically pushed to the enterprise, active query of enterprise personnel is not needed, and the efficiency of acquiring the public policy data by the enterprise is improved.
Another point to be added is that, the above is only exemplified by automatically pushing the public policy data to the enterprise, and in actual implementation, the personnel of the enterprise can also actively query, that is, the method may further include the following steps:
firstly, receiving a query request, wherein the query request carries query conditions;
when enterprise personnel need to inquire the public policy data, the inquiry conditions can be input through the inquiry terminal, and accordingly the inquiry terminal can receive the inquiry request and forward the inquiry request to the server. The server may accordingly receive the query request.
For example, when a corporate person of a certain semiconductor corporation needs to check the policy of subsidizing talents in the field, a query condition containing "semiconductor and talents" may be input. Accordingly, the query request may include the query condition.
Secondly, inquiring public policy data meeting the inquiry condition in the second incidence relation.
After receiving the query request, the public policy data meeting the query condition can be queried in the second association relation stored in the database, and the queried public policy data is returned to the query terminal.
The present embodiment also provides a policy data processing apparatus, which includes a memory and a processor, wherein the memory stores at least one program instruction, and the processor implements the method according to the first aspect by loading and executing the at least one program instruction.
The present embodiments also provide a computer storage medium having at least one program instruction stored therein for loading and execution by a processor to implement the method of the first aspect.
The technical features of the embodiments described above may be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the embodiments described above are not described, but should be considered as being within the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. A method of policy data processing, the method comprising:
collecting public policy data of government public websites within a preset range;
performing association storage on each piece of collected public policy data according to a preset rule to obtain a first association relation;
extracting description information in each piece of public policy data through an artificial intelligence algorithm, and determining policy indexes and labels of the public policy data and logic relations among different pieces of public policy data;
and associating and storing the policy indexes, the labels and the logic relations of each piece of public policy data with the first association relation corresponding to the public policy data to obtain a second association relation.
2. The method of claim 1, wherein collecting public policy data of government public websites within a predetermined range comprises:
and collecting public policy data in the government public websites within the preset range in real time through python automatic collection.
3. The method according to claim 1, wherein the associating and storing the collected public policy data according to preset rules comprises:
and for each piece of public policy data, performing associated storage according to a policy title, a policy source, a province and city area to which the policy belongs, a text sending unit to which the policy belongs, a text sending character number and text sending time.
4. The method according to claim 1, wherein before the associating and storing the collected public policy data according to the preset rule, the method further comprises:
receiving a modification request for modifying the public policy data;
modifying the public policy data according to the modification request;
correspondingly, the performing associated storage on the collected public policy data according to the preset rule includes:
and performing associated storage on the modified public policy data according to the preset rule.
5. The method of claim 1, further comprising:
collecting enterprise information disclosed by an enterprise;
for each enterprise, analyzing the association between the enterprise information and each piece of public policy data;
and if the public policy data associated with the enterprise information exists, pushing the public policy data to the enterprise.
6. The method of claim 5, wherein the collecting enterprise information published by an enterprise comprises:
acquiring enterprise information from an enterprise library, wherein the enterprise information of at least two enterprises is recorded in the enterprise library.
7. The method of claim 5, wherein analyzing the association between the business information and the respective public policy data comprises:
and for each piece of public policy data, determining whether the enterprise meets the conditions specified by the public policy data according to the enterprise information, wherein the conditions comprise at least one of a registration place, an enterprise scale, an enterprise affiliated field and an enterprise turnover.
8. The method of any of claims 1 to 7, further comprising:
receiving a query request, wherein the query request carries query conditions;
and inquiring public policy data meeting the inquiry condition in the second incidence relation.
9. A policy data processing apparatus, comprising a memory having at least one program instruction stored therein and a processor that implements the method of any one of claims 1 to 8 by loading and executing the at least one program instruction.
10. A computer storage medium having stored therein at least one program instruction for loading and execution by a processor to perform the method of any of claims 1 to 8.
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| CN202010994011.1A CN112102137A (en) | 2020-09-21 | 2020-09-21 | Policy data processing method, device and storage medium |
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| CN202010994011.1A CN112102137A (en) | 2020-09-21 | 2020-09-21 | Policy data processing method, device and storage medium |
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| CN112395485A (en) * | 2021-01-19 | 2021-02-23 | 广州博士信息技术研究院有限公司 | Policy big data mining method and device, computer equipment and storage medium |
| CN112765338A (en) * | 2020-12-30 | 2021-05-07 | 江苏风云科技服务有限公司 | Policy data pushing method, policy calculator and computer equipment |
| CN115221205A (en) * | 2022-09-09 | 2022-10-21 | 中电科新型智慧城市研究院有限公司 | Policy determination method, device and storage medium |
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