CN104537561A - Automatic economic activities classification device in organizing institution bar codes - Google Patents
Automatic economic activities classification device in organizing institution bar codes Download PDFInfo
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- CN104537561A CN104537561A CN201510026777.XA CN201510026777A CN104537561A CN 104537561 A CN104537561 A CN 104537561A CN 201510026777 A CN201510026777 A CN 201510026777A CN 104537561 A CN104537561 A CN 104537561A
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Abstract
The invention relates to an automatic economic activities classification device in organizing institution bar codes. The device comprises the following modules: (1) a classification rule maintenance module which mainly comprises the operation steps of establishing a storage class characteristic word set, an industry category system and an industry system, forming a digital standard classification system and performing category management, dictionary management and subject and normal form management; (2) a small text classification module comprising the operation steps of testing training corpus and comparing and analyzing to obtain a small text reference model; (3) a word list establishment module comprising the operation steps of abstracting the basic relation information in a narrower range, relation properties and relation association by analyzing the relation between words, and establishing and describing the relation between words by virtue of an assembly mode; and (4) an intelligent retrieval module comprising the operation steps of performing semantics decomposition on inquired statements, analyzing various kinds of fuzzy input, mapping the prepared classification module, analyzing the possible multiple classification modes and user behaviors and finally obtaining the possibility of each category so as to be recommended to the user.
Description
Technical field
The invention belongs to social informatization field, particularly relate to the device of economic sectors automatic classification in a kind of organization mechanism code.
Background technology
Organization mechanism code be the People's Republic of China (PRC) is domesticly registered in accordance with the law, the office of in accordance with the law registering, enterprise and institution, public organization and non-governmental non-enterprise unit issue a unique in China thick-and-thin marking code, along with the development of economy, enterprise's appearance like the mushrooms after rain, each organization unit needs handling code to demonstrate,prove.Need to carry out industry classification according to the criteria for classification in organization mechanism code to enterprise in code card generative process.The management work being applied as organization mechanism code of criteria for classification brings a lot of advantage.Criteria for classification up-to-date is at present primarily of 20 classes, and then be subdivided into more large, medium and small class again, they can according to the existing actual conditions of China, classification, thus be able to carry out more detailed collection to information, perfect enterprise manages taxonomic hierarchies, standardization Business Scope of Enterprise, and for national economic accounting and every specialty statistics are observed according to economic activity, things provides in detail, the classification foundation of science.
But at present, the application of professional museum still also exists certain defect.Such as a lot of staff is owing to lacking corresponding professional knowledge, when the corresponding economic sectors of division organizational structure, sometimes subjectively can add oneself conjecture and idea, instead of carry out objective classification by professional knowledge to mechanism.Very large impact can be caused like this to trade classification quality.
In addition, in the middle of the list of trade classification, sometimes do not describe its partitioning standards in detail, and there is no the economic activity that comprehensive list is relevant, and the industry of managerial setup has wider scope of business, embody stronger fusion intercrossing, therefore often cannot find corresponding industry in current carried out list.Staff, sometimes according to the idea of oneself, divides its classification, in this case, has a lot of mechanisms to be formulated in the middle of some little classifications of clearly not classifying.
If these classification work are all by manually having come, inevitably the lengthening of mistake and certificates handling time.
Therefore this just needs the impact that as far as possible should reduce subjective factor when dividing classification, expand the space of classification, scattered distribution is become concentrated manageable mapping model, carried out classifying and safeguard to available data by mapping model, make when inputting scope of business or Property Name, correct classification can be found fast, make the random data normalization of small text.
In a kind of organization mechanism code that the present invention proposes, the method for economic sectors automatic classification fundamentally improves work efficiency, get rid of artificial subjective ability restriction, and can scientifically automatic classification, be convenient to analyze according to industrial statistics, be conducive to industrial economy policy analysis and the research of National Administration for Code Allocation to Organizations.
Summary of the invention
For above-mentioned prior art Problems existing, the invention provides the device of economic sectors automatic classification in a kind of organization mechanism code, comprise as lower module:
(1) classifying rules maintenance module, mainly comprises, and builds and stores Based on Class Feature Word Quadric collection, category of employment system and industrial system, forms digital standards taxonomic hierarchies, carries out category management, and dictionary management and theme and normal form manage;
(2) small text sort module, corpus is tested, comparison and analysis obtain small text contrast reference model;
(3) set up vocabulary module, by relation between analysing word, take out the association of relation essential information more among a small circle, nexus nature, relation, created by the mode of assembly, relation between descriptor;
(4) intelligent retrieval module, carry out semanteme to query statement to decompose, and various Indistinct Input is analyzed, be mapped into off-the-shelf disaggregated model, and many mode classifications that may exist and user behavior are analyzed, finally draw the possibility of each classification, recommend user.
User is recommended from high to low according to possibility in intelligent retrieval module.
Calculate maximum distribution according to maximally related information in intelligent retrieval module to recommend.
The present invention compared with prior art has the following advantages and good effect:
(1) fundamentally improve the efficiency of economic sectors automatic classification.
(2) quick and precisely can judge the economic sectors classification belonging to company, avoid the mistake judgement because artificial origin causes.
(3) intelligent search is by possible classification results sort recommendations, can select optimal classification result, also can classify by hand if classification results is dissatisfied.
(4) the browsing, add, delete and revise of classification information.
(5) category feature extraction algorithm is utilized to carry out language material test.
(6) set up Knowledge based engineering classification normal form, set up trade classification system.
Embodiment
A device for economic sectors automatic classification in organization mechanism code, comprises as lower module:
(1) classifying rules maintenance module, mainly comprises, and builds and stores Based on Class Feature Word Quadric collection, category of employment system and industrial system, forms digital standards taxonomic hierarchies, carries out category management, and dictionary management and theme and normal form manage;
(2) small text sort module, corpus is tested, comparison and analysis obtain small text contrast reference model;
(3) set up vocabulary module, by relation between analysing word, take out the association of relation essential information more among a small circle, nexus nature, relation, created by the mode of assembly, relation between descriptor;
(4) intelligent retrieval module, carry out semanteme to query statement to decompose, and various Indistinct Input is analyzed, be mapped into off-the-shelf disaggregated model, and many mode classifications that may exist and user behavior are analyzed, finally draw the possibility of each classification, recommend user.User is recommended from high to low according to possibility in intelligent retrieval module.Calculate maximum distribution according to maximally related information in intelligent retrieval module to recommend.
Claims (3)
1. the device of economic sectors automatic classification in organization mechanism code, is characterized in that comprising as lower module:
(1) classifying rules maintenance module, mainly comprises, and builds and stores Based on Class Feature Word Quadric collection, category of employment system and industrial system, forms digital standards taxonomic hierarchies, carries out category management, and dictionary management and theme and normal form manage;
(2) small text sort module, corpus is tested, comparison and analysis obtain small text contrast reference model;
(3) set up vocabulary module, by relation between analysing word, take out the association of relation essential information more among a small circle, nexus nature, relation, created by the mode of assembly, relation between descriptor;
(4) intelligent retrieval module, carry out semanteme to query statement to decompose, and various Indistinct Input is analyzed, be mapped into off-the-shelf disaggregated model, and many mode classifications that may exist and user behavior are analyzed, finally draw the possibility of each classification, recommend user.
2. the device as described in claims 1, is characterized in that: recommend user from high to low according to possibility in intelligent retrieval module.
3. the device as described in claims 1, is characterized in that: calculate maximum distribution according to maximally related information in intelligent retrieval module and recommend.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201510026777.XA CN104537561A (en) | 2015-01-20 | 2015-01-20 | Automatic economic activities classification device in organizing institution bar codes |
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| CN201510026777.XA CN104537561A (en) | 2015-01-20 | 2015-01-20 | Automatic economic activities classification device in organizing institution bar codes |
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106097096A (en) * | 2016-06-14 | 2016-11-09 | 浪潮软件股份有限公司 | The management of a kind of unified social credibility code and the method generated |
| CN108038490A (en) * | 2017-10-30 | 2018-05-15 | 上海思贤信息技术股份有限公司 | A kind of P2P enterprises automatic identifying method and system based on internet data |
| CN110019798A (en) * | 2017-11-20 | 2019-07-16 | 航天信息股份有限公司 | It is a kind of for the method and system measured into pin item type of merchandize difference |
| CN111914090A (en) * | 2020-08-18 | 2020-11-10 | 生态环境部环境规划院 | Method and device for enterprise industry classification identification and characteristic pollutant identification |
| CN112287075A (en) * | 2020-12-25 | 2021-01-29 | 北京智源人工智能研究院 | Method and device for automatically acquiring enterprise multi-level classification training data |
| CN114492379A (en) * | 2022-01-27 | 2022-05-13 | 蒋立新 | Digital standard meta-model based on semantics and application method thereof |
-
2015
- 2015-01-20 CN CN201510026777.XA patent/CN104537561A/en active Pending
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106097096A (en) * | 2016-06-14 | 2016-11-09 | 浪潮软件股份有限公司 | The management of a kind of unified social credibility code and the method generated |
| CN108038490A (en) * | 2017-10-30 | 2018-05-15 | 上海思贤信息技术股份有限公司 | A kind of P2P enterprises automatic identifying method and system based on internet data |
| CN110019798A (en) * | 2017-11-20 | 2019-07-16 | 航天信息股份有限公司 | It is a kind of for the method and system measured into pin item type of merchandize difference |
| CN111914090A (en) * | 2020-08-18 | 2020-11-10 | 生态环境部环境规划院 | Method and device for enterprise industry classification identification and characteristic pollutant identification |
| CN112287075A (en) * | 2020-12-25 | 2021-01-29 | 北京智源人工智能研究院 | Method and device for automatically acquiring enterprise multi-level classification training data |
| CN112287075B (en) * | 2020-12-25 | 2021-04-13 | 北京智源人工智能研究院 | Method and device for automatically acquiring enterprise multi-level classification training data |
| CN114492379A (en) * | 2022-01-27 | 2022-05-13 | 蒋立新 | Digital standard meta-model based on semantics and application method thereof |
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Application publication date: 20150422 |
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