CN112685564A - Intelligent science and technology policy classification and pushing method and system - Google Patents
Intelligent science and technology policy classification and pushing method and system Download PDFInfo
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Abstract
The invention provides an intelligent scientific and technological policy classification and pushing method and system, wherein the system comprises a policy data storage module, a policy classification module, a user behavior analysis module and an intelligent pushing module, and the system rapidly performs keyword, syntax and semantic analysis on massive policy information data by means of an intelligent word segmentation technology and a natural language understanding technology, marks a corresponding accurate label on each piece of policy information, and accurately divides the policy information into proper categories; natural Language Processing (NLP), big data technology and Machine Learning (ML) are used to understand and organize user behavior data information to intelligently push policy information of interest to users. By means of the artificial intelligent word segmentation technology and the natural language understanding technology, the method not only marks the keywords, but also intelligently marks the syntax and the semantics, so that symbolized and conceptualized information can be understood, the new words can be identified by combining the context, and ambiguity can be automatically eliminated.
Description
Technical Field
The invention relates to the technical field of policy classification systems, in particular to an intelligent scientific and technological policy classification and pushing method and system.
Background
The policy information website usually stores a large amount of document data such as files, documents, announcements and the like, and due to the large amount of document data, a large amount of time and energy are needed for classification, and various problems such as inconvenience in information search, inaccuracy in information search, unreasonable information classification, imprecise classification, inaccuracy in information entry blocks and the like exist, so that the policy information website is not beneficial to providing effective information services.
The national policy is an index for enterprise development planning and development, and can generate certain marketing for future business, service direction, marketing planning mode, advertisement planning and other aspects of the enterprise. The goal pursued by enterprises is to quickly obtain the target information wanted by the enterprises. Therefore, in the face of massive text information, the intelligent policy document classification is realized, and documents which are interested by users can be accurately pushed, so that the research focus of the current internet application is formed.
The technical solutions disclosed in the present invention are not many, and the closest to the technical solution of the present invention is the invention patent with patent application number CN 109359235 a, "a policy information intelligent labeling method and intelligent matching method".
The technical problems of policy classification and pushing in the prior art are that the method mainly comprises the steps of intelligently judging and labeling collected data through set text labels, classifying the data according to the set labels, intelligently matching a system according to relevant information of a user and labels labeled by policy information, and automatically listing policy information relevant to the user by the system. It has not been possible to analyze the history of users clicking on push information by chinese word segmentation to filter what they believe is less important. The current method still requires the user to look up the policy information really needed in the pushed mass policy data.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides an intelligent scientific and technological policy classification and pushing method and system, the system quickly performs keyword, syntax and semantic analysis on massive policy information data by means of an intelligent word segmentation technology and a natural language understanding technology, marks each piece of policy information with a corresponding accurate label, and accurately classifies the policy information into proper categories;
natural Language Processing (NLP), big data technology and Machine Learning (ML) are used to understand and organize user behavior data information to intelligently push policy information of interest to users.
The technical scheme of the invention is as follows: an intelligent scientific and technological policy classification and pushing system, comprising:
policy data storage module
The crawler technology is used for collecting policy data of national, provincial, municipal and regional government websites and other webpage data related to scientific and technological policies, and gathering and integrating the data;
policy classification module
The method comprises the steps of utilizing an artificial intelligence word segmentation technology and a natural language understanding technology to calculate and process data crawled by a web crawler, analyzing keywords, syntax and semantics of massive policy information data, marking each policy information with an accurate label, and accurately classifying the policy information into proper categories;
user behavior analysis module
The system comprises a data acquisition module, a policy classification module, a data processing module and a data processing module, wherein the data acquisition module is used for acquiring user data, and performing labeling processing on a user according to user basic information, a request type and a request action, wherein the labeling processing is the same as the policy classification, so as to obtain user behavior analysis;
intelligent pushing module
The method is used for recommending the policy information with higher similarity based on the user behaviors by utilizing massive user behavior data and combining policy information collection and label classification data accumulation through an artificial intelligence network.
Further, the word segmentation categories of the policy classification module are as follows: the key information of high and new technology enterprises, high and new technology, high enterprise identification, high and new enterprises, high and new identification, high enterprise cultivation, high enterprise warehousing, province and high enterprise cultivation and the like can be classified into high and new technology enterprise identification policy types.
Further, a policy-specific information base is established by the collected and classified policy data.
Further, the user behavior analysis module uses the collected user data sources as: and collecting the basic information of the user to form a basic label of the user.
Further, the user behavior analysis module uses the collected user data sources as: and browsing records and collecting records of the user on each policy website and the service platform.
Further, the user behavior analysis module uses the collected user data sources as: a user subscribes information on each policy website and the service platform, and information such as a subscription area, a project type, a policy type and the like of the user is collected.
Further, the user basic information acquisition includes:
the crawler is used for obtaining information of related enterprises and individuals, an enterprise and individual information base is established, or a registered user logs in, a policy service platform can automatically identify the identity of the user, and basic information of the user, such as the authority, the business field, the enterprise name, the registration time, the registration address, the enterprise engaged in the industry and the like, and other information of intellectual property rights, finance, personnel, research and development conditions and the like or basic information of personal research results, published papers, applied patents, undertaking projects and the like are obtained
Furthermore, after the user logs in the system, the system can automatically push the policy information related to the user to remind the user to actively use the related policy.
Furthermore, the pushing interface of the system screens data again by using a plurality of classification labels, so that the required information can be found quickly.
The invention also provides an intelligent scientific and technological policy classification and pushing method, which comprises the following steps:
s1), policy data warehousing
The crawler technology is used for collecting policy data of national, provincial, municipal and regional government websites and other webpage data related to scientific and technological policies, and gathering and integrating the data;
s2), policy classification
The method comprises the steps of utilizing an artificial intelligence word segmentation technology and a natural language understanding technology to calculate and process data crawled by a web crawler, analyzing keywords, syntax and semantics of massive policy information data, marking each policy information with an accurate label, and accurately classifying the policy information into proper categories;
s3), user behavior analysis
According to the collected user data, performing labeling processing on the user as same as policy classification according to the basic information, the request classification and the request action of the user to obtain user behavior analysis;
s4), intelligent pushing
The method is used for recommending the policy information with higher similarity based on the user behaviors by utilizing massive user behavior data and combining policy information collection and label classification data accumulation through an artificial intelligence network.
Further, in step S2), the word segmentation categories are: key information such as high and new technology enterprises, high and new technology, high enterprise identification, high and new, high enterprise, high and new identification, high enterprise cultivation, high enterprise warehousing, province and high enterprise cultivation and the like can be classified into high and new technology enterprise identification policy classes, and a policy special information base is established for collected and classified policy data.
Further, in step S3), the user data sources collected by the user behavior analysis module are: and collecting the basic information of the user to form a basic label of the user.
Further, in step S3), the source of the collected user data used by the user behavior analysis module may also be: and browsing records and collecting records of the user on each policy website and the service platform.
Further, in step S3), the user data sources collected by the user behavior analysis module are: a user subscribes information on each policy website and the service platform, and information such as a subscription area, a project type, a policy type and the like of the user is collected.
Further, the user basic information acquisition includes:
the crawler is used for obtaining information of related enterprises and individuals, an enterprise and individual information base is established, or a registered user logs in, a policy service platform can automatically identify the identity of the user, and basic information of the user, such as the authority, the business field, the enterprise name, the registration time, the registration address, the enterprise engaged in the industry and the like, and other information of intellectual property rights, finance, personnel, research and development conditions and the like or basic information of personal research results, published papers, applied patents, undertaking projects and the like are obtained
Further, in step S4), after the user logs in the system, the system may automatically push policy information related to the user to remind the user to actively use the related policy, and the pushing interface thereof uses a plurality of classification tags to filter data again, so as to quickly find the required information.
The invention has the beneficial effects that:
1. by means of an artificial intelligent word segmentation technology and a natural language understanding technology, the method not only marks the keywords, but also intelligently marks syntax and semantics, so that symbolized and conceptualized information can be understood, new words are identified by combining context, and ambiguity is automatically eliminated;
2. the invention provides an intelligent classification technology, reduces the time and energy of manual classification, and more accurately classifies to a proper classification column, so that the accuracy of information search, the accuracy of information entry plates and the like are facilitated, and efficient service can be better provided;
3. the user behavior data acquired by the method is labeled as same as policy classification, so that the user behavior data is consistent with the labels in the background policy database, and the most suitable policy information is conveniently and quickly pushed;
4. according to the user login system, the automatic pushing interface can use the plurality of classification labels to filter data again so as to search required information quickly, searching steps are reduced to a certain extent, and interested policies do not need to be obtained more conveniently;
4. according to the invention, the user behavior information is collected through three paths, more accurate information is obtained and pushed to the user, and the most appropriate policy can be inquired as soon as possible with the fastest time and the lowest cost.
Drawings
FIG. 1 is a schematic flow diagram of the inventive process;
FIG. 2 is a block diagram of the framework of the system of the present invention;
Detailed Description
The following further describes embodiments of the present invention with reference to the accompanying drawings:
example 1
As shown in fig. 1, the present embodiment provides an intelligent scientific and technological policy classification and pushing method, and by means of an intelligent word segmentation technique and a natural language understanding technique, the present embodiment quickly performs keyword, syntax and semantic analysis on massive policy information data, marks each piece of policy information with a corresponding accurate tag, and accurately classifies each piece of policy information into an appropriate category.
Natural Language Processing (NLP), big data technology and Machine Learning (ML) are used to understand and organize user behavior data information to intelligently push policy information of interest to users.
The method comprises the following steps:
s1), policy data warehousing
The crawler technology is used for collecting policy data of national, provincial, municipal and regional government websites and other webpage data related to scientific and technological policies, and gathering and integrating the data;
s2), policy classification
The method comprises the steps of utilizing an artificial intelligence word segmentation technology and a natural language understanding technology to calculate and process data crawled by a web crawler, analyzing keywords, syntax and semantics of massive policy information data, marking each policy information with an accurate label, and accurately classifying the policy information into proper categories; in this embodiment, the word segmentation categories are: key information such as high and new technology enterprises, high and new technology, high enterprise identification, high and new, high enterprise, high and new identification, high enterprise cultivation, high enterprise warehousing, province and high enterprise cultivation and the like can be classified into high and new technology enterprise identification policy classes, and a policy special information base is established for collected and classified policy data.
S3), user behavior analysis
According to the collected user data, performing labeling processing on the user as same as policy classification according to the basic information, the request classification and the request action of the user to obtain user behavior analysis;
in this embodiment, the user behavior analysis module uses the collected user data sources as follows:
1. acquiring basic information of a user to form a basic label of the user; the policy service platform can automatically identify the identity of the user, and obtain basic information of the user, such as the authority, the business field, the enterprise name, the registration time, the registration address, the enterprise engaged in the industry and the like, and other information of intellectual property, finance, personnel, research and development conditions and the like or basic information of personal research results, published papers, applied patents, undertaking projects and the like.
2. The user data sources collected by the user behavior analysis module can also be: browsing records and collecting records of a user on each policy website and the service platform;
3. a user subscribes information on each policy website and the service platform, and information such as a subscription area, a project type, a policy type and the like of the user is collected.
S4), intelligent pushing
The method is used for recommending the policy information with higher similarity based on the user behaviors by utilizing massive user behavior data and combining policy information collection and label classification data accumulation through an artificial intelligence network.
After the user logs in the system, the system can automatically push the policy information related to the user to remind the user to actively use the related policy, and the pushing interface of the intelligent pushing module uses a plurality of classification labels to screen data again so as to quickly find the required information.
Example 2
As shown in fig. 2, the present embodiment provides an intelligent scientific and technological policy classification and pushing system, which includes:
policy data storage module
The crawler technology is used for collecting policy data of national, provincial, municipal and regional government websites and other webpage data related to scientific and technological policies, and gathering and integrating the data;
policy classification module
The method is characterized in that the artificial intelligence word segmentation technology and the natural language understanding technology are utilized to calculate and process data crawled by a web crawler, keyword, syntax and semantic analysis is carried out on massive policy information data, accurate labels are marked on each policy information, and the policy information is accurately classified into proper categories.
In this embodiment, the word segmentation categories of the policy classification module are: the key information of high and new technology enterprises, high and new technology, high enterprise identification, high and new enterprises, high and new identification, high enterprise cultivation, high enterprise warehousing, province and high enterprise cultivation and the like can be classified into high and new technology enterprise identification policy types. And establishing a policy-specific information base for the collected and classified policy data.
User behavior analysis module
The system comprises a data acquisition module, a policy classification module, a data processing module and a data processing module, wherein the data acquisition module is used for acquiring user data, and performing labeling processing on a user according to user basic information, a request type and a request action, wherein the labeling processing is the same as the policy classification, so as to obtain user behavior analysis;
intelligent pushing module
The method is used for recommending the policy information with higher similarity based on the user behaviors by utilizing massive user behavior data and combining policy information collection and label classification data accumulation through an artificial intelligence network.
Further, the user behavior analysis module uses the collected user data sources as: and collecting the basic information of the user to form a basic label of the user.
Further, the user behavior analysis module uses the collected user data sources as: and browsing records and collecting records of the user on each policy website and the service platform.
Further, the user behavior analysis module uses the collected user data sources as: a user subscribes information on each policy website and the service platform, and information such as a subscription area, a project type, a policy type and the like of the user is collected.
Further, the user basic information acquisition includes:
the crawler is used for obtaining information of related enterprises and individuals, an enterprise and individual information base is established, or a registered user logs in, a policy service platform can automatically identify the identity of the user, and basic information of the user, such as the authority, the business field, the enterprise name, the registration time, the registration address, the enterprise engaged in the industry and the like, and other information of intellectual property rights, finance, personnel, research and development conditions and the like or basic information of personal research results, published papers, applied patents, undertaking projects and the like are obtained
Furthermore, after the user logs in the system, the system can automatically push the policy information related to the user to remind the user to actively use the related policy.
Furthermore, the pushing interface of the system screens data again by using a plurality of classification labels, so that the required information can be found quickly.
The foregoing embodiments and description have been presented only to illustrate the principles and preferred embodiments of the invention, and various changes and modifications may be made therein without departing from the spirit and scope of the invention as hereinafter claimed.
Claims (10)
1. An intelligent scientific and technological policy classification and pushing method is characterized by comprising the following steps:
s1), policy data warehousing
The crawler technology is used for collecting policy data of national, provincial, municipal and regional government websites and other webpage data related to scientific and technological policies, and gathering and integrating the data;
s2), policy classification
The method comprises the steps of utilizing an artificial intelligence word segmentation technology and a natural language understanding technology to calculate and process data crawled by a web crawler, analyzing keywords, syntax and semantics of massive policy information data, marking each policy information with an accurate label, and accurately classifying the policy information into proper categories;
s3), user behavior analysis
According to the collected user data, performing labeling processing on the user as same as policy classification according to the basic information, the request classification and the request action of the user to obtain user behavior analysis;
s4), intelligent pushing
The method is used for recommending the policy information with higher similarity based on the user behaviors by utilizing massive user behavior data and combining policy information collection and label classification data accumulation through an artificial intelligence network.
2. An intelligent scientific and technological policy classification as claimed in claim 1 wherein: in step S2), the word segmentation categories are: key information such as high and new technology enterprises, high and new technology, high enterprise identification, high and new, high enterprise, high and new identification, high enterprise cultivation, high enterprise warehousing, province and high enterprise cultivation and the like can be classified into high and new technology enterprise identification policy classes, and a policy special information base is established for collected and classified policy data.
3. An intelligent scientific and technological policy classification as claimed in claim 1 wherein: in step S3), the user data sources collected by the user behavior analysis module are: acquiring basic information of a user to form a basic label of the user; or
Browsing records, collecting records, or the like of the user on various policy websites and the service platform
A user subscribes information on each policy website and the service platform, and information such as a subscription area, a project type, a policy type and the like of the user is collected.
4. An intelligent scientific and technological policy classification as claimed in claim 3 wherein: the user basic information acquisition comprises the following steps:
the crawler is used for obtaining information of related enterprises and individuals, an enterprise and individual information base is established, or a registered user logs in, the policy service platform can automatically identify the identity of the user, and basic information of the user, such as the authority, the business field, the enterprise name, the registration time, the registration address, the enterprise engaged in the industry and the like, and other information of intellectual property rights, finance, personnel, research and development conditions and the like or basic information of personal research results, published papers, applied patents, undertaking projects and the like are obtained.
5. An intelligent scientific and technological policy classification as claimed in claim 1 wherein: in step S4), after the user logs in the system, the system can automatically push policy information related to the user to remind the user to actively use the related policy, and the push interface thereof uses a plurality of classification tags to filter data again, so as to quickly find the required information.
6. The utility model provides an intelligence science and technology policy classification, push system which characterized in that: the system quickly analyzes keywords, syntax and semantics of massive policy information data by means of an intelligent word segmentation technology and a natural language understanding technology, marks a corresponding accurate label for each piece of policy information, and accurately divides the policy information into proper categories;
understanding and organizing user behavior data information by using Natural Language Processing (NLP), big data technology and Machine Learning (ML) to intelligently push policy information interesting to users;
the system comprises:
policy data storage module
The crawler technology is used for collecting policy data of national, provincial, municipal and regional government websites and other webpage data related to scientific and technological policies, and gathering and integrating the data;
policy classification module
The method comprises the steps of utilizing an artificial intelligence word segmentation technology and a natural language understanding technology to calculate and process data crawled by a web crawler, analyzing keywords, syntax and semantics of massive policy information data, marking each policy information with an accurate label, and accurately classifying the policy information into proper categories;
user behavior analysis module
The system comprises a data acquisition module, a policy classification module, a data processing module and a data processing module, wherein the data acquisition module is used for acquiring user data, and performing labeling processing on a user according to user basic information, a request type and a request action, wherein the labeling processing is the same as the policy classification, so as to obtain user behavior analysis;
intelligent pushing module
The method is used for recommending the policy information with higher similarity based on the user behaviors by utilizing massive user behavior data and combining policy information collection and label classification data accumulation through an artificial intelligence network.
7. The intelligent scientific and technological policy classification and push system according to claim 6, characterized in that:
the word segmentation categories of the policy classification module are as follows: key information such as high and new technology enterprises, high and new technology, high enterprise identification, high and new, high enterprise, high and new identification, high enterprise cultivation, high enterprise warehousing, province and high enterprise cultivation and the like can be classified into high and new technology enterprise identification policy classes, and a policy special information base is established for collected and classified policy data.
8. The intelligent scientific and technological policy classification and push system according to claim 6, characterized in that:
the user behavior analysis module is used for collecting user data sources as follows:
collecting basic information of users, forming basic labels of users, or
Browsing records and collecting records of a user on each policy website and the service platform; or the user subscribes information on each policy website and the service platform, and collects information such as the subscription region, the item type, the policy type and the like of the user.
9. The intelligent scientific and technological policy classification and push system according to claim 8, characterized in that: the user basic information acquisition comprises the following steps:
the crawler is used for obtaining information of related enterprises and individuals, an enterprise and individual information base is established, or a registered user logs in, the policy service platform can automatically identify the identity of the user, and basic information of the user, such as the authority, the business field, the enterprise name, the registration time, the registration address, the enterprise engaged in the industry and the like, and other information of intellectual property rights, finance, personnel, research and development conditions and the like or basic information of personal research results, published papers, applied patents, undertaking projects and the like are obtained.
10. The intelligent scientific and technological policy classification and push system according to claim 6, characterized in that: after the user logs in the system, the system can automatically push out policy information related to the user to remind the user to actively use the related policy;
the pushing interface of the system screens data again by using a plurality of classification labels so as to quickly find required information.
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| CN113254431A (en) * | 2021-05-21 | 2021-08-13 | 中国科学院青海盐湖研究所 | Comprehensive analysis system for salt lake science and technology industry data based on big data |
| CN113610648A (en) * | 2021-07-26 | 2021-11-05 | 上海摩莱信息科技有限公司 | Insurance information pushing system and method based on big data |
| CN113627166A (en) * | 2021-08-09 | 2021-11-09 | 北京智数时空科技有限公司 | Culture ecological factor recognition and extraction method and equipment and storage medium |
| CN113918707A (en) * | 2021-12-14 | 2022-01-11 | 中关村科技软件股份有限公司 | Policy convergence and enterprise image matching recommendation method |
| CN114139979A (en) * | 2021-12-03 | 2022-03-04 | 广东省科学技术情报研究所 | Service platform for specific research and development mechanism |
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| CN113254431A (en) * | 2021-05-21 | 2021-08-13 | 中国科学院青海盐湖研究所 | Comprehensive analysis system for salt lake science and technology industry data based on big data |
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