CN117114483A - Intelligent enterprise policy letter-increasing model method and system - Google Patents

Abstract

The invention relates to the technical field of big data, in particular to an intelligent enterprise policy credit increasing model method and system, comprising the following steps: collecting policy and enterprise information; cleaning and processing big data; constructing policy analysis and portraits; constructing a big data image of an enterprise; constructing a policy credit increasing model; the beneficial effects are as follows: according to the intelligent enterprise policy credit increasing model method and system, enterprise policy information is collected according to a crawler technology, a big data policy information analysis and analysis system is built based on big data and semantic analysis technology, and meanwhile enterprise policy portraits are built so as to achieve matching analysis of enterprises and policies.

Description

Intelligent enterprise policy letter-increasing model method and system

Technical Field

The invention relates to the technical field of big data, in particular to an intelligent enterprise policy trust increasing model method and system.

Background

Big data, which refers to a data set that cannot be captured, managed and processed with conventional software tools within a certain time frame, is a massive, high growth rate and diversified information asset that requires a new processing mode to have stronger decision-making ability, insight discovery ability and process optimization ability.

In the prior art, with the advent of the cloud era, big data also attracts more and more attention. The team of analysts thinks that big data is often used to account for the large amount of unstructured and semi-structured data created by a company, which can take excessive time and money when downloaded to a relational database for analysis. Big data analysis is often tied to cloud computing because real-time big data set analysis requires a framework like MapReduce to distribute work to tens, hundreds, or even thousands of computers.

However, existing enterprise policy service planning systems do not facilitate enterprise policy augmentation when issuing up-to-date policy information.

Disclosure of Invention

The invention aims to provide an intelligent enterprise policy credit increasing model method and system, which are used for solving the problems in the background technology.

In order to achieve the above purpose, the present invention provides the following technical solutions: an intelligent enterprise policy credit increasing model method and system, the method comprises the following steps:

collecting policy and enterprise information;

cleaning and processing big data;

constructing policy analysis and portraits;

constructing a big data image of an enterprise;

and constructing a policy credit increasing model.

Preferably, the specific operations of the collection of the policy and the enterprise information include:

based on a crawler technology, collecting enterprise policies issued by various government institutions from public channels, establishing an automatic enterprise policy acquisition system, realizing automatic crawling and warehousing of the enterprise policies, and establishing an enterprise policy base library;

interfacing with business, tax, judicial and administrative punishment multidimensional data of enterprises through an API interface to form an enterprise data acquisition system and establish an enterprise information base;

and establishing a data crawling and access management mechanism, and realizing the on-shelf or off-shelf access of various data crawling and access according to the service, thereby realizing the management function of the data.

Preferably, the specific operations of the big data cleaning and processing include:

the policy data is subjected to regular processing, the policy is classified and subjected to rule processing according to the four-level classification of the country, the province, the city and the county, and the source of the policy is identified;

cleaning the multidimensional data of business, tax, judicial and administrative penalties of enterprises, cleaning the data with nonstandard and wrong data types, and carrying out association processing on enterprise information;

and warehousing the cleaned enterprise policies and enterprise information, and respectively establishing an enterprise policy library and an enterprise information library.

Preferably, the specific operations for constructing the policy resolution and the representation include:

based on an enterprise policy library, analyzing enterprise policies by adopting big data and semantic analysis technology, constructing a big data policy information analysis and analysis system, realizing automatic analysis and analysis of policy information, accurately identifying positive and negative policies and extracting keywords in the policies, establishing policy portraits, classifying according to national, provincial, municipal and county policy labels, and analyzing influence of the policies by combining the policy portraits, thereby identifying policy influence.

Preferably, the specific operation of constructing the enterprise big data image comprises the following steps:

defining enterprise characteristic indexes based on multi-dimensional data after cleaning of industry and commerce, tax, judicial and administrative penalties of enterprises and combining with service requirements, and researching and developing index characteristic calculation programs;

calculating enterprise characteristic indexes by using a characteristic index calculation system, and establishing enterprise samples;

based on the enterprise index features and the samples, a plurality of technologies including rule algorithm, data mining, big data analysis and machine learning are adopted to build the enterprise portraits, so that the enterprise holographic portraits are formed.

Preferably, the specific operation of constructing the policy credit increasing model comprises the following steps:

and the enterprise portrait and the policy portrait are called through an API interface, a matching degree model of the policy portrait and the enterprise holographic portrait is established based on a matching degree algorithm and semantic analysis, the matching degree of the enterprise and the policy is calculated based on the matching degree model of the policy portrait and the enterprise holographic portrait, and the trust increasing degree of the policy is evaluated according to the matching degree and the positive and negative of the policy, so that the trust increasing of the enterprise is realized.

An intelligent enterprise policy credit-increasing model system for an intelligent enterprise policy credit-increasing model method, wherein the system comprises a policy and enterprise information acquisition system, a big data cleaning and processing system, a policy analysis and portraying system, an enterprise big data portraying system and a policy credit-increasing model;

policy and enterprise information acquisition system: based on a crawler technology, collecting enterprise policies issued by various government institutions from public channels, establishing an automatic enterprise policy acquisition system, realizing automatic crawling and warehousing of the enterprise policies, and establishing an enterprise policy base library; interfacing with business, tax, judicial and administrative punishment multidimensional data of enterprises through an API interface to form an enterprise data acquisition system and establish an enterprise information base; a data crawling and access management mechanism is established, various data crawling and access on-shelf or off-shelf are realized according to the service, and the data management function is realized;

big data cleaning and processing system: the policy data is subjected to regular processing, the policy is classified and subjected to rule processing according to the four-level classification of the country, the province, the city and the county, and the source of the policy is identified; cleaning the multidimensional data of business, tax, judicial and administrative penalties of enterprises, cleaning the data with nonstandard and wrong data types, and carrying out association processing on enterprise information; warehousing the cleaned enterprise policies and enterprise information, and respectively establishing an enterprise policy library and an enterprise information library;

policy analysis and representation system: based on an enterprise policy library, analyzing enterprise policies by adopting big data and semantic analysis technology, constructing a big data policy information analysis and analysis system, realizing automatic analysis and analysis of policy information, accurately identifying positive and negative policies and extracting keywords in the policies, establishing policy portraits, classifying according to national, provincial, municipal and county policy labels, and analyzing the influence of the policies by combining the policy portraits to identify the influence of the policies;

an enterprise big data portrayal system: defining enterprise characteristic indexes based on multi-dimensional data after cleaning of industry and commerce, tax, judicial and administrative penalties of enterprises and combining with service requirements, and researching and developing index characteristic calculation programs; calculating enterprise characteristic indexes by using a characteristic index calculation system, and establishing enterprise samples; based on enterprise index features and samples, establishing enterprise portraits by adopting a plurality of technologies such as rule algorithm, data mining, big data analysis and machine learning to form enterprise holographic portraits;

policy letter adding model: and the enterprise portrait and the policy portrait are called through an API interface, a matching degree model of the policy portrait and the enterprise holographic portrait is established based on a matching degree algorithm and semantic analysis, the matching degree of the enterprise and the policy is calculated based on the matching degree model of the policy portrait and the enterprise holographic portrait, and the trust increasing degree of the policy is evaluated according to the matching degree and the positive and negative of the policy, so that the trust increasing of the enterprise is realized.

Compared with the prior art, the invention has the beneficial effects that:

according to the intelligent enterprise policy credit increasing model method and system, enterprise policy information is collected according to a crawler technology, a big data policy information analysis system is built based on big data and a semantic analysis technology, and meanwhile, enterprise policy portraits are built so as to achieve matching analysis of enterprises and policies; meanwhile, related information such as business, tax, judicial, administrative punishment and the like of enterprises is accessed, and the data are cleaned, processed and enterprise portraits are established by adopting big data processing and mining technologies; based on the matching degree algorithm and semantic analysis, a matching degree model of the policy portrait and the enterprise holographic portrait is established, and the credit enhancement degree of the policy is evaluated, so that the credit enhancement of the enterprise is realized.

Drawings

FIG. 1 is a flow chart of the method of the present invention.

Detailed Description

In order to make the objects, technical solutions, and advantages of the present invention more apparent, the embodiments of the present invention will be further described in detail with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are some, but not all, embodiments of the present invention, are intended to be illustrative only and not limiting of the embodiments of the present invention, and that all other embodiments obtained by persons of ordinary skill in the art without making any inventive effort are within the scope of the present invention.

Example 1

Referring to fig. 1, the present invention provides a technical solution: an intelligent enterprise policy credit increasing model method and system, the method comprises the following steps:

policy and enterprise information acquisition mode and system

Firstly, collecting enterprise policies issued by various government institutions from public channels based on a crawler technology, establishing an automatic enterprise policy acquisition system, realizing automatic crawling and warehousing of the enterprise policies, and establishing an enterprise policy base; secondly, interfacing multidimensional data such as business, tax, judicial, administrative punishment and the like of enterprises through an API interface to form an enterprise data acquisition system, and establishing an enterprise information base; third,: and a data crawling and access management mechanism is established, so that various data crawling and access on-shelf or off-shelf can be realized according to service requirements, and the management function of the data is realized.

Big data cleaning and processing

And establishing a data processing and cleaning system based on the big data technology and multidimensional data such as enterprise policies, industry and commerce, tax, judicial and administrative penalties. First, policy data is processed regularly, policies are classified and processed regularly according to four classes of classification such as country, province, city, county, etc., and the source of the policies is identified. Secondly, cleaning multi-dimensional data such as business, tax, judicial, administrative punishment and the like of enterprises, and mainly cleaning data with nonstandard data types and wrong data types; and meanwhile, carrying out association processing on the enterprise information. Thirdly, warehousing the cleaned enterprise policies and enterprise information, and respectively establishing an enterprise policy library and an enterprise information library.

Policy analysis and portrait system

Based on the enterprise policy library, the enterprise policies are analyzed by adopting big data and semantic analysis technology, a big data policy information analysis system is constructed, automatic analysis and analysis of policy information are realized, keywords in positive and negative policies and extraction policies are accurately identified, and a policy portrait is established. Meanwhile, according to the policy label classification of the country, province, city, county and the like, and by combining the policy portrait, the influence of the policy is analyzed, and the policy influence is identified.

Enterprise big data portrayal system

Defining enterprise characteristic indexes based on the cleaned multidimensional data of the enterprises such as business, tax, judicial, administrative punishment and the like and combining with service requirements, and researching and developing index characteristic calculation programs; and calculating the enterprise characteristic index by using a characteristic index calculation system, and establishing an enterprise sample. Based on the enterprise index features and the samples, a plurality of technologies such as rule algorithm, data mining, big data analysis, machine learning and the like are adopted to build the enterprise portraits, so that the enterprise holographic portraits are formed.

Policy letter increasing model

And calling the enterprise portraits and the policy portraits through the API interface, and establishing a matching degree model of the policy portraits and the enterprise holographic portraits based on a matching degree algorithm and semantic analysis. Based on the matching degree model of the policy portrait and the enterprise holographic portrait, calculating the matching degree of the enterprise and the policy, and evaluating the credit-enhancing degree of the policy according to the matching degree and the positive and negative of the policy to realize the credit enhancement of the enterprise.

The following technical effects are realized:

1) The intelligent enterprise policy credit increasing model method and system provided by the invention realize automatic crawling of enterprise policies and establish an enterprise policy library.

2) The intelligent enterprise policy credit increasing model method and system provided by the invention establish a set of standardized policy information analysis system, realize automatic analysis and analysis of policy information, accurately identify positive and negative policies and extract keywords in the policies, establish policy portraits, and provide a thought and solution for establishing the policy portraits.

3) The intelligent enterprise policy credit increasing model method and system provided by the invention establish a complete enterprise big data portrait system based on big data processing and mining technology, and can automatically output enterprise portrait labels through the system, thereby providing a set of enterprise portrait solution.

4) The invention provides an intelligent enterprise policy credit-enhancing model method and system, which are used for establishing a matching degree model of a policy portrait and an enterprise holographic portrait based on a matching degree algorithm and semantic analysis; meanwhile, the credit-increasing degree of the policy is evaluated according to the matching degree and the positive and negative of the policy, so that the credit-increasing of enterprises is realized, and a mode is provided for the credit-increasing of the policy.

Example two

On the basis of the first embodiment, an intelligent enterprise policy credit-enhancing model system for an intelligent enterprise policy credit-enhancing model method is provided, wherein the system comprises a policy and enterprise information acquisition system, a big data cleaning and processing system, a policy analysis and portrayal system, an enterprise big data portrayal system and a policy credit-enhancing model;

policy and enterprise information acquisition system: based on a crawler technology, collecting enterprise policies issued by various government institutions from public channels, establishing an automatic enterprise policy acquisition system, realizing automatic crawling and warehousing of the enterprise policies, and establishing an enterprise policy base library; interfacing with business, tax, judicial and administrative punishment multidimensional data of enterprises through an API interface to form an enterprise data acquisition system and establish an enterprise information base; a data crawling and access management mechanism is established, various data crawling and access on-shelf or off-shelf are realized according to the service, and the data management function is realized;

big data cleaning and processing system: the policy data is subjected to regular processing, the policy is classified and subjected to rule processing according to the four-level classification of the country, the province, the city and the county, and the source of the policy is identified; cleaning the multidimensional data of business, tax, judicial and administrative penalties of enterprises, cleaning the data with nonstandard and wrong data types, and carrying out association processing on enterprise information; warehousing the cleaned enterprise policies and enterprise information, and respectively establishing an enterprise policy library and an enterprise information library;

policy analysis and representation system: based on an enterprise policy library, analyzing enterprise policies by adopting big data and semantic analysis technology, constructing a big data policy information analysis and analysis system, realizing automatic analysis and analysis of policy information, accurately identifying positive and negative policies and extracting keywords in the policies, establishing policy portraits, classifying according to national, provincial, municipal and county policy labels, and analyzing the influence of the policies by combining the policy portraits to identify the influence of the policies;

an enterprise big data portrayal system: defining enterprise characteristic indexes based on multi-dimensional data after cleaning of industry and commerce, tax, judicial and administrative penalties of enterprises and combining with service requirements, and researching and developing index characteristic calculation programs; calculating enterprise characteristic indexes by using a characteristic index calculation system, and establishing enterprise samples; based on enterprise index features and samples, establishing enterprise portraits by adopting a plurality of technologies such as rule algorithm, data mining, big data analysis and machine learning to form enterprise holographic portraits;

policy letter adding model: and the enterprise portrait and the policy portrait are called through an API interface, a matching degree model of the policy portrait and the enterprise holographic portrait is established based on a matching degree algorithm and semantic analysis, the matching degree of the enterprise and the policy is calculated based on the matching degree model of the policy portrait and the enterprise holographic portrait, and the trust increasing degree of the policy is evaluated according to the matching degree and the positive and negative of the policy, so that the trust increasing of the enterprise is realized.

Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.

Claims (7)

1. An intelligent enterprise policy letter-increasing model method and system are characterized in that: the method comprises the following steps:

collecting policy and enterprise information;

cleaning and processing big data;

constructing policy analysis and portraits;

constructing a big data image of an enterprise;

and constructing a policy credit increasing model.

2. The intelligent enterprise policy credit model method of claim 1, wherein: the specific operations of the collection of the policy and the enterprise information comprise:

based on a crawler technology, collecting enterprise policies issued by various government institutions from public channels, establishing an automatic enterprise policy acquisition system, realizing automatic crawling and warehousing of the enterprise policies, and establishing an enterprise policy base library;

interfacing with business, tax, judicial and administrative punishment multidimensional data of enterprises through an API interface to form an enterprise data acquisition system and establish an enterprise information base;

and establishing a data crawling and access management mechanism, and realizing the on-shelf or off-shelf access of various data crawling and access according to the service, thereby realizing the management function of the data.

3. The intelligent enterprise policy credit model method of claim 1, wherein: the specific operations of big data cleaning and processing include:

the policy data is subjected to regular processing, the policy is classified and subjected to rule processing according to the four-level classification of the country, the province, the city and the county, and the source of the policy is identified;

cleaning the multidimensional data of business, tax, judicial and administrative penalties of enterprises, cleaning the data with nonstandard and wrong data types, and carrying out association processing on enterprise information;

and warehousing the cleaned enterprise policies and enterprise information, and respectively establishing an enterprise policy library and an enterprise information library.

4. The intelligent enterprise policy credit model method of claim 1, wherein: the specific operations for constructing the policy resolution and the portrait include:

based on an enterprise policy library, analyzing enterprise policies by adopting big data and semantic analysis technology, constructing a big data policy information analysis and analysis system, realizing automatic analysis and analysis of policy information, accurately identifying positive and negative policies and extracting keywords in the policies, establishing policy portraits, classifying according to national, provincial, municipal and county policy labels, and analyzing influence of the policies by combining the policy portraits, thereby identifying policy influence.

5. The intelligent enterprise policy credit model method of claim 1, wherein: the specific operation of constructing the enterprise big data image comprises the following steps:

defining enterprise characteristic indexes based on multi-dimensional data after cleaning of industry and commerce, tax, judicial and administrative penalties of enterprises and combining with service requirements, and researching and developing index characteristic calculation programs;

calculating enterprise characteristic indexes by using a characteristic index calculation system, and establishing enterprise samples;

based on the enterprise index features and the samples, a plurality of technologies including rule algorithm, data mining, big data analysis and machine learning are adopted to build the enterprise portraits, so that the enterprise holographic portraits are formed.

6. The intelligent enterprise policy credit model method of claim 1, wherein: the specific operation of constructing the policy credit increasing model comprises the following steps:

and the enterprise portrait and the policy portrait are called through an API interface, a matching degree model of the policy portrait and the enterprise holographic portrait is established based on a matching degree algorithm and semantic analysis, the matching degree of the enterprise and the policy is calculated based on the matching degree model of the policy portrait and the enterprise holographic portrait, and the trust increasing degree of the policy is evaluated according to the matching degree and the positive and negative of the policy, so that the trust increasing of the enterprise is realized.

7. An intelligent business policy credit model system for use in accordance with the intelligent business policy credit model method of claims 1-6, characterized in that: the system comprises a policy and enterprise information acquisition system, a big data cleaning and processing system, a policy analysis and portrayal system, an enterprise big data portrayal system and a policy credit increasing model;

policy and enterprise information acquisition system: based on a crawler technology, collecting enterprise policies issued by various government institutions from public channels, establishing an automatic enterprise policy acquisition system, realizing automatic crawling and warehousing of the enterprise policies, and establishing an enterprise policy base library; interfacing with business, tax, judicial and administrative punishment multidimensional data of enterprises through an API interface to form an enterprise data acquisition system and establish an enterprise information base; a data crawling and access management mechanism is established, various data crawling and access on-shelf or off-shelf are realized according to the service, and the data management function is realized;

big data cleaning and processing system: the policy data is subjected to regular processing, the policy is classified and subjected to rule processing according to the four-level classification of the country, the province, the city and the county, and the source of the policy is identified; cleaning the multidimensional data of business, tax, judicial and administrative penalties of enterprises, cleaning the data with nonstandard and wrong data types, and carrying out association processing on enterprise information; warehousing the cleaned enterprise policies and enterprise information, and respectively establishing an enterprise policy library and an enterprise information library;

policy analysis and representation system: based on an enterprise policy library, analyzing enterprise policies by adopting big data and semantic analysis technology, constructing a big data policy information analysis and analysis system, realizing automatic analysis and analysis of policy information, accurately identifying positive and negative policies and extracting keywords in the policies, establishing policy portraits, classifying according to national, provincial, municipal and county policy labels, and analyzing the influence of the policies by combining the policy portraits to identify the influence of the policies;

an enterprise big data portrayal system: defining enterprise characteristic indexes based on multi-dimensional data after cleaning of industry and commerce, tax, judicial and administrative penalties of enterprises and combining with service requirements, and researching and developing index characteristic calculation programs; calculating enterprise characteristic indexes by using a characteristic index calculation system, and establishing enterprise samples; based on enterprise index features and samples, establishing enterprise portraits by adopting a plurality of technologies such as rule algorithm, data mining, big data analysis and machine learning to form enterprise holographic portraits;

policy letter adding model: and the enterprise portrait and the policy portrait are called through an API interface, a matching degree model of the policy portrait and the enterprise holographic portrait is established based on a matching degree algorithm and semantic analysis, the matching degree of the enterprise and the policy is calculated based on the matching degree model of the policy portrait and the enterprise holographic portrait, and the trust increasing degree of the policy is evaluated according to the matching degree and the positive and negative of the policy, so that the trust increasing of the enterprise is realized.