CN116244415A

CN116244415A - Computer operating system and method for identifying discipline professional names and automatically classifying discipline professional names

Info

Publication number: CN116244415A
Application number: CN202310059065.2A
Authority: CN
Inventors: 龚传栋; 郑鑫; 陈炼
Original assignee: Guangzhou Gaocai Information Technology Co ltd
Current assignee: Guangzhou Gaocai Information Technology Co ltd
Priority date: 2023-01-17
Filing date: 2023-01-17
Publication date: 2023-06-09

Abstract

The invention discloses a computer operation system and a method for identifying subject names and automatically classifying the subject names, wherein the computer operation system comprises a subject classification operation system, the subject classification operation system comprises a subject keyword matching dictionary library, a WEB page platform and a subject query platform, the WEB page platform comprises a subject introduction module, a subject employment module and a subject course module, the subject query platform comprises a text input module, a text matching module, a result output module and a content prompting module.

Description

Computer operating system and method for identifying discipline professional names and automatically classifying discipline professional names

Technical Field

The invention relates to the technical field of recruitment, in particular to a computer operating system and a method for identifying subject professional names and automatically classifying the subject professional names.

Background

Recruitment is the best way of each enterprise to absorb talents in the development process, the recruitment mode adopted by many enterprises still depends on manual recruitment management, so that the problems of large recruitment investment, low recruitment efficiency, difficulty in recruiting to proper talents and the like are often caused, and in order to solve the problem of enterprise talent shortage, recruitment departments are often independently set up, a large amount of manpower and material resources are consumed, and no substantial change exists.

However, the conventional recruitment process has the following disadvantages:

according to the research education subject professional catalog, the subject profession is subdivided into three levels of a subject major class, a primary subject class and a secondary subject class, and under the secondary subject class, the research direction can be further subdivided into more specific research directions, for example, the primary subject to which the secondary subject 'thermal energy engineering' belongs is 'power engineering and engineering thermophysics', and belongs to the industrial department class, and when a recruitment post is issued by a human unit, the name of the subject professional is five-flower eight-door because the subject professional does not have a unified filling standard, and therefore, the intelligent matching with the talent filling profession cannot be realized.

Disclosure of Invention

The invention aims to provide a computer operating system and a computer operating method for identifying and automatically classifying discipline names, which are used for solving the problems that the discipline professions are subdivided into three levels of a discipline university, a primary discipline and a secondary discipline according to the discipline professional catalog of research education, and under the secondary discipline, the secondary discipline can be subdivided into more specific research directions, for example, the primary discipline of the secondary discipline, namely 'power engineering and engineering thermophysics', belongs to the department category, and the discipline profession is not standardized because of the lack of unified filling standard when the discipline profession is released to recruit, so that the name of the discipline profession is confetti and no standardized field is formed, and intelligent matching with the talent filling profession cannot be realized.

In order to achieve the above purpose, the present invention provides the following technical solutions: the system comprises a subject classifying operation system, wherein the subject classifying operation system comprises a subject keyword matching dictionary library, a WEB page platform and a subject query platform, the WEB page platform comprises a subject introduction module, a subject employment module and a subject course module, the subject keyword matching dictionary library comprises a professional directory matching module, a subject portal matching module, a professional category matching module and a dictionary library updating module, the subject query platform comprises a text input module, a text matching module, a result output module and a content prompt module, the WEB page platform introduces related content of a searched subject and learns courses of the subject, and a recruitment information publisher is convenient to learn whether to recruit the subject student.

As a preferable technical scheme of the invention, the discipline employment module comprises a discipline employment post unit, a discipline employment salary unit and a discipline employment expansion unit, and displays the employment post of the discipline, the salary range after employment and the development direction after employment.

As a preferred technical solution of the present invention, the professional directory matching module includes a family professional directory unit, a study professional directory unit, and a doctor professional directory unit, and classifies professions according to education degrees.

As a preferable technical scheme of the invention, the dictionary library updating module comprises a new discipline document collecting and arranging unit, a new discipline developing unit and a new discipline researching unit, and the dictionary library updating module recognizes the new discipline by collecting and arranging documents, knows what problems the new discipline is researching, what method is adopted by who is researching, what conclusion is obtained, and knows the research object, research content, research method and application value of research results of the new discipline.

As a preferable technical scheme of the invention, the subject class matching module comprises a subject class name unit, a subject class code unit and a subject class level unit, and the subject class matching module firstly carries out level judgment on the first subject, the second subject or the third subject of the subject class, and then carries out word stock storage on different subject names and subject codes.

As a preferable technical scheme of the invention, the text matching module comprises a text receiving unit, a text selecting unit, a text classifying unit and a text checking unit, wherein the text matching module receives an input text, then selects keywords in the text, classifies the selected keywords with word libraries in a subject keyword matching dictionary library, and checks after classification to ensure the accuracy of text matching.

The invention relates to a using method of a computer operating system for identifying subject professional names and automatically classifying, which comprises the following steps:

step one, establishing a dictionary library: constructing a subject keyword dictionary database by taking a primary subject, a secondary subject or a tertiary subject and the like as units, collecting various similar subject professional cases, and summarizing to form subject keyword matching dictionary libraries of the primary subject, the secondary subject or the tertiary subject;

step two, the dictionary base content is updated regularly: the dictionary library updating module is used for updating the subject dictionary content in real time;

step three, constructing an operation end: building a WEB page platform capable of operating and displaying;

step four, inputting text: inputting related text on a discipline query platform;

step five, result matching display: the text matching module matches the input related text with the subject keyword matching dictionary library, and the matching result is displayed through the result output module;

step six, content prompting: when the matching is not achieved, the content prompting module prompts related content;

step seven, name specialization: and performing specialized correction on the searched name content.

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

1. setting up a subject keyword matching dictionary database, building a subject keyword dictionary database by taking subjects as a unit, collecting various approximate subject professional cases to summarize and form a matching dictionary database of each subject, and periodically updating the content of the database, so that the subject to which the subject keyword matching dictionary database belongs can be quickly matched according to the content of the subject professional cases, the time of operators is greatly saved, the standardization of recruitment post fonts is improved, and the matching degree of talents and personnel unit posts is improved;

2. constructing an operation end Web page: building a client operation page on a worker, wherein the page mainly provides an input text box and a result return box, after the worker inputs single or multiple subject professional text contents on the Web page of the operation end and submits the single or multiple subject professional text contents, the system performs matching on a database according to a keyword dictionary, and the matched one or multiple subject names are displayed on the result return box; if the database cannot automatically match the result, displaying corresponding prompt contents which cannot be matched on the Web page at the operation end;

3. the matching result is automatically associated with and written in, after an operator confirms the result returned by automatic matching on an operation end Web page, the returned result is automatically associated with the recruitment position, the discipline related to the position is written in, and the field classification is carried out on a position database to form a unified standard field of discipline specialty;

4. the operation end Web page supports Excel batch import and supports batch automatic identification of the text, so that the efficiency of inquiring and returning results is improved.

Drawings

FIG. 1 is a schematic diagram of a subject classification operating system according to the present invention;

FIG. 2 is a schematic diagram of a WEB page platform according to the present invention;

fig. 3 is a schematic structural view of the employment module according to the subject matter of the present invention;

FIG. 4 is a schematic diagram of the structure of the subject keyword matching dictionary library;

FIG. 5 is a schematic diagram of a professional directory matching module according to the present invention;

FIG. 6 is a schematic diagram of a dictionary library update module according to the present invention;

FIG. 7 is a schematic diagram of a subject class matching module according to the present invention;

FIG. 8 is a schematic diagram of a subject query platform of the present invention;

FIG. 9 is a schematic diagram of a text matching module according to the present invention;

fig. 10 is a flow chart of the present invention.

In the figure: 1. discipline categorizes operating systems; 2. the subject keywords match a dictionary library; 21. a professional directory matching module; 211. a family professional directory unit; 212. a research student professional directory unit; 213. a doctor specialized directory unit; 22. a discipline class matching module; 221. a discipline class name unit; 222. subject class code units; 223. a discipline class level unit; 23. a specialty category matching module; 24. a dictionary library updating module; 241. a new discipline document collection and arrangement unit; 242. a new discipline development unit; 243. a new discipline research unit; 3. a WEB page platform; 31. a discipline introduction module; 32. a discipline employment module; 321. a discipline employment post unit; 322. a discipline employment salary unit; 323. a discipline employment extension unit; 33. a discipline course module; 4. a discipline query platform; 41. a text entry module; 42. a text matching module; 421. a text receiving unit; 422. a text selection unit; 423. a text classifying unit; 424. a text collation unit; 43. a result output module; 44. and a content prompt module.

Detailed Description

The technical solutions of the embodiments of the present invention will be clearly and completely described below in conjunction with the embodiments of the present invention, and it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.

Referring to fig. 1-10, the present invention provides a computer operating system for identifying and automatically classifying subject names, which includes a subject classifying operating system 1, wherein the subject classifying operating system 1 includes a subject keyword matching dictionary library 2, a WEB page platform 3 and a subject query platform 4, the WEB page platform 3 includes a subject introduction module 31, a subject employment module 32 and a subject course module 33, the subject keyword matching dictionary library 2 includes a professional catalog matching module 21, a subject category matching module 22, a professional category matching module 23 and a dictionary library updating module 24, the subject query platform 4 includes a text entry module 41, a text matching module 42, a result output module 43 and a content prompting module 44, and the WEB page platform 3 introduces related subject content of the query and learns courses learned by subjects, so as to facilitate recruitment information publishers to know whether to recruit the subject students.

The subject employment module 32 includes a subject employment post unit 321, a subject employment salary unit 322, and a subject employment expansion unit 323, and displays the employment post of the subject, the salary range after employment, and the development direction after employment.

The professional directory matching module 21 includes a family professional directory unit 211, a study professional directory unit 212, and a doctor professional directory unit 213, classifies professions according to education levels.

The dictionary library updating module 24 includes a new discipline document collection and arrangement unit 241, a new discipline development unit 242, and a new discipline research unit 243, and the dictionary library updating module 24 recognizes new disciplines by collecting and arranging documents, knows what problems the new disciplines are researching, who is researching, what methods are adopted, what conclusions are drawn, and knows the study objects, study contents, study methods, and application values of study achievements of the new disciplines.

The discipline class matching module 22 includes a discipline class name unit 221, a discipline class code unit 222, and a discipline class level unit 223, and the discipline class matching module 22 performs level judgment on the first discipline, the second discipline, or the third discipline of the discipline class first, and then performs word stock storage on different discipline names and discipline codes.

The text matching module 42 comprises a text receiving unit 421, a text selecting unit 422, a text classifying unit 423 and a text checking unit 424, the text matching module 42 receives the input text, then selects keywords in the text, classifies the selected keywords with word banks in the subject keyword matching dictionary library 2, and checks after classification to ensure the accuracy of text matching.

step one, establishing a dictionary library: constructing a subject keyword dictionary database by taking a primary subject, a secondary subject or a tertiary subject and the like as units, collecting various similar subject professional cases, and summarizing to form subject keyword matching dictionary libraries 2 of the primary subject, the secondary subject or the tertiary subject;

step two, the dictionary base content is updated regularly: the dictionary library updating module 24 updates the subject dictionary content in real time;

step three, constructing an operation end: building a WEB page platform 3 capable of operating and displaying;

step four, inputting text: inputting relevant text on the discipline query platform 4;

step five, result matching display: the text matching module 42 matches the input related text with the subject keyword matching dictionary base 2, and the matching result is displayed through the result output module 43;

step six, content prompting: when the matching is not achieved, the content prompting module 44 prompts the related content;

The invention is used when in use: the subject keyword dictionary database is built by taking the primary subjects, the secondary subjects or the tertiary subjects and the like as units, various similar subject professional cases are collected to form subject keyword matching dictionary libraries 2 of the primary subjects, the secondary subjects or the tertiary subjects, the dictionary library updating module 24 updates the subject dictionary content in real time, the dictionary library updating module 24 recognizes the new subjects by collecting and arranging documents, knows what problems are being researched by the new subjects, what methods are adopted, what conclusions are obtained, the research objects, research contents, research methods and application values of research results of the new subjects are known, a WEB page platform 3 which can be operated and displayed is built, related texts are input on a subject query platform 4 of a user, the text matching module 42 receives the input texts, then keywords in the texts are selected, classifying the selected keywords and the word stock in the subject keyword matching dictionary library 2, checking after classifying, ensuring the accuracy of text matching, displaying the matching result through a result output module 43, displaying the matched primary subject name, secondary subject name or tertiary subject name in a result return frame, if the database cannot automatically match the result, displaying corresponding prompt contents on an operation end WEB page, introducing the related contents of the queried subject by a WEB page platform 3, knowing courses of the subject study, facilitating recruitment information publishing personnel to know whether to recruit the subject student, displaying the post-employment salary range and the development direction of the subject, professionally correcting the searched name contents, classifying fields in a position database, the unified standard field of discipline specialty is formed, the operating end WEB page platform 3 supports Excel batch import and supports batch automatic identification of documents, so that the efficiency of inquiring and returning results is improved.

Although the present invention has been described with reference to the foregoing embodiments, it will be apparent to those skilled in the art that modifications may be made to the embodiments described, or equivalents may be substituted for elements thereof, and any modifications, equivalents, improvements and changes may be made without departing from the spirit and principles of the present invention.

Claims

1. Computer operating system that discerns discipline specialty name and carries out automatic classification, including discipline classification operating system (1), its characterized in that: the subject classification operating system (1) comprises a subject keyword matching dictionary library (2), a WEB page platform (3) and a subject query platform (4), the WEB page platform (3) comprises a subject introduction module (31), a subject employment module (32) and a subject course module (33), the subject keyword matching dictionary library (2) comprises a professional catalog matching module (21), a subject category matching module (22), a professional category matching module (23) and a dictionary library updating module (24), and the subject query platform (4) comprises a text input module (41), a text matching module (42), a result output module (43) and a content prompting module (44).

2. The computer operating system for identifying subject matter names and automatically categorizing as set forth in claim 1 wherein: the discipline employment module (32) includes a discipline employment post unit (321), a discipline employment salary unit (322), and a discipline employment extension unit (323).

3. The computer operating system for identifying subject matter names and automatically categorizing as set forth in claim 1 wherein: the professional directory matching module (21) comprises a family professional directory unit (211), a study professional directory unit (212) and a doctor professional directory unit (213).

4. The computer operating system for identifying subject matter names and automatically categorizing as set forth in claim 1 wherein: the dictionary library updating module (24) includes a new discipline document collection and arrangement unit (241), a new discipline development unit (242), and a new discipline research unit (243).

5. The computer operating system for identifying subject matter names and automatically categorizing as set forth in claim 1 wherein: the subject class matching module (22) includes a subject class name unit (221), a subject class code unit (222), and a subject class level unit (223).

6. The computer operating system for identifying subject matter names and automatically categorizing as set forth in claim 1 wherein: the text matching module (42) comprises a text receiving unit (421), a text selecting unit (422), a text classifying unit (423) and a text checking unit (424).

7. A method of using a computer operating system for identifying subject matter names and automatically categorizing the subject matter names according to any one of claims 1-6, comprising the steps of:

step one, establishing a dictionary library: constructing a subject keyword dictionary database by taking a primary subject, a secondary subject or a tertiary subject and the like as units, collecting various similar subject professional cases, and summarizing to form subject keyword matching dictionary libraries (2) of the primary subject, the secondary subject or the tertiary subject;

step two, the dictionary base content is updated regularly: a dictionary library updating module (24) updates the subject dictionary content in real time;

step three, constructing an operation end: building a WEB page platform (3) capable of operating and displaying;

step four, inputting text: inputting related text on a discipline query platform (4);

step five, result matching display: the text matching module (42) matches the input related text with the subject keyword matching dictionary library (2), and the matching result is displayed through the result output module (43);

step six, content prompting: when the matching is not achieved, the content prompting module (44) prompts related content;