CN108280583A - Post skill requirement analysis method based on big data - Google Patents
Post skill requirement analysis method based on big data Download PDFInfo
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- CN108280583A CN108280583A CN201810079622.6A CN201810079622A CN108280583A CN 108280583 A CN108280583 A CN 108280583A CN 201810079622 A CN201810079622 A CN 201810079622A CN 108280583 A CN108280583 A CN 108280583A
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Abstract
A kind of post skill requirement analysis method based on big data provided by the invention, including：From the recruitment information obtained in network data in setting time, the recruitment information based on acquisition extracts recruitment post and job requirements field；Chinese word segmentation is carried out to job requirements field using technical ability dictionary, extracts skill attribute noun；It counts the appearance frequency of skill attribute noun and calculates the degree of correlation in post and skill attribute noun, and the degree of correlation calculated is compared with the relevance threshold of setting, retain the skill attribute noun that the degree of correlation is more than relevance threshold, and using the skill attribute noun as the proprietary technical ability needed for corresponding post；S4. network topological diagram is built, using post as root node, frequency will occur and be more than setting and frequency and the degree of correlation occur to be more than the skill attribute noun of relevance threshold as the first layer technical ability node in the post；Then second layer technical ability node is determined under first layer technical ability node and forms network topological diagram, can obtain comprehensive social demand information, to ensure to analyze the comprehensive of data.
Description
Technical field
The present invention relates to a kind of analysis method more particularly to a kind of post skill requirement analysis methods based on big data.
Background technology
Colleges and universities are exactly solving the problems, such as of being difficult to all the time how targetedly to the talent needed for society's output, this
How accurate, the quick and comprehensive demand for identifying society to the talent that one difficult point is mainly reflected in, in the prior art, colleges and universities are
The demand for talent for understanding society is to be visited using enterprise, by the way of questionnaire survey and expert interviewing, and this mode exists
Following defect：First, the comprehensive difference of data collected by this mode, causes the data finally obtained not comprehensive, to not
It can the relevant demand status of accurate depth acquisition；Secondly, existing mode processing time period is long, leads to the development of social demand
It is not strong so as to cause specific aim when University Education with acquired data poor synchronization；Again, existing way needs to consume a large amount of
Human and material resources, so as to cause with high costs.
It is, therefore, desirable to provide a kind of new method, can obtain comprehensive, depth society from non-structural text big data
To ensure to analyze the comprehensive of data, and long period processing can not be needed, it is ensured that society to the demand information of post technical ability
Demand develops has stronger synchronism with the data counted, is supported so as to effectively provide data for University Education,
Ensure that colleges and universities can pointedly be educated, and can effectively reduce the demand of human and material resources, reduces use cost.
Invention content
In view of this, the object of the present invention is to provide a kind of post skill requirement analysis method based on big data, it can
Demand information of comprehensive, depth the society to post technical ability is obtained from non-structural text big data, to ensure to analyze number
According to it is comprehensive, and do not need long period processing, it is ensured that social demand develops with the data that are counted with stronger synchronous
Property, providing data so as to effectively for University Education supports, ensures that colleges and universities can pointedly be educated, and can
The demand for effectively reducing human and material resources, reduces use cost.
A kind of post skill requirement analysis method based on big data provided by the invention, including：
S1. from the recruitment information obtained in network data in setting time, the recruitment information based on acquisition extracts recruitment
Post and job requirements field；
S2. Chinese word segmentation is carried out to job requirements field using technical ability dictionary, extracts skill attribute noun；
S3. it counts the appearance frequency of skill attribute noun and calculates the degree of correlation in post and skill attribute noun, and will meter
The degree of correlation calculated is compared with the relevance threshold of setting, retains the skill attribute name that the degree of correlation is more than relevance threshold
Word, and using the skill attribute noun as the proprietary technical ability needed for corresponding post；
S4. network topological diagram is built, using post as root node, frequency will occur and be more than setting frequency occur and the degree of correlation is big
In first layer technical ability node of the skill attribute noun as the post of relevance threshold；Then under first layer technical ability node really
Determine second layer technical ability node and forms network topological diagram.
Further, in step S3, the degree of correlation in post and skill attribute noun is calculated according to following method：
Wherein, CorFor the degree of correlation in post and skill attribute noun, NPBelieve for the recruitment of post P
Cease number；NSContain the recruitment information number of skill attribute noun S for post；NPSIt is P for recruitment post and contains skill attribute noun S
Recruitment information number, NAFor total recruitment information number.
Further, second layer technical ability node is determined according to following method：
A. it in the recruitment information that recruitment post is P, filters out while containing the recruitment information number of skilled S1 and technical ability S2
NPS1S2, and the support S between numeracy skills S1 and technical ability S2P-S1S2：
Wherein, NPFor the recruitment information number of post P；
B. confidence level C is calculatedPS1-S2:Wherein, NPS1For the trick containing skilled S1 in recruitment information
Engage Information Number；Technical ability S1 is the first layer technical ability node of determination；
C. as support SP-S1S2More than support threshold and confidence level CPS1-S2It is when more than confidence threshold value, technical ability S2 is true
It is set to the second layer technical ability node of first layer technical ability node S1.
Further, further include that screening analysis is carried out to data using Ontology method, post in recruitment information is identical
But it states different recruitment posies and is attributed to same post.
Further, it in step S2, is segmented using Jieba Chinese word segmentation tools, and by skill attribute noun according to going out
Existing frequency according to being ranked up from big to small.
Beneficial effects of the present invention：By means of the invention it is possible to be obtained from non-structural text big data comprehensive, depth
Society to ensure to analyze the comprehensive of data, and does not need long period processing, it is ensured that society to the demand information of post technical ability
The development of meeting demand has stronger synchronism with the data counted, so as to effectively provide data branch for University Education
It holds, ensures that colleges and universities can pointedly be educated, and can effectively reduce the demand of human and material resources, reduce use cost.
Description of the drawings
The invention will be further described with reference to the accompanying drawings and examples：
Fig. 1 is the work flow diagram of the present invention.
Specific implementation mode
Further description is made to the present invention below in conjunction with Figure of description：
A kind of post skill requirement analysis method based on big data provided by the invention, including：
S1. from the recruitment information obtained in network data in setting time, the recruitment information based on acquisition extracts recruitment
Post and job requirements field；Network data is obtained from the recruitment website of large-scale mainstream, for example intelligence connection is recruited, future is carefree etc.；
Wherein, the time of setting can be acquisition calculates forward in one month day or half a year is interior etc., according to practical need
It is chosen；Job requirements field includes recruitment post, the number of recruits, educational requirement, job requirements, tenure responsibility, post
Treatment, recruitment time, employment enterprise name, enterprise nature, scope of the enterprise and enterprise possession；Wherein, educational requirement use piece
Act mode, including it is as follows：Junior middle school and following, senior middle school, training, undergraduate course, master, doctor；Enterprise nature uses and enumerates mode：It is limited
Company, joint-stock company, state-owned enterprise, overseas-funded enterprise, individual proprietorship enterprise, self-employed entrepreneur, partnership business, private enterprise etc.；
S2. Chinese word segmentation is carried out to job requirements field using technical ability dictionary, extracts skill attribute noun；Wherein, it adopts
It is segmented with Jieba Chinese word segmentation tools, and by skill attribute noun according to there is frequency according to being ranked up from big to small；
S3. it counts the appearance frequency of skill attribute noun and calculates the degree of correlation in post and skill attribute noun, and will meter
The degree of correlation calculated is compared with the relevance threshold of setting, retains the skill attribute name that the degree of correlation is more than relevance threshold
Word, and using the skill attribute noun as the proprietary technical ability needed for corresponding post；
S4. network topological diagram is built, using post as root node, frequency will occur and be more than setting frequency occur and the degree of correlation is big
In first layer technical ability node of the skill attribute noun as the post of relevance threshold；Then under first layer technical ability node really
Determine the second layer and the above technical ability node and forms network topological diagram；It can be obtained from non-structural text big data by the above method
Demand information of comprehensive, depth the society to post technical ability is taken, to ensure to analyze the comprehensive of data, and need not be grown
Period treatment, it is ensured that social demand develops has stronger synchronism with the data counted, so as to be effectively colleges and universities
Education provides data and supports, ensures that colleges and universities can pointedly be educated, and can effectively reduce the need of human and material resources
It asks, reduces use cost；And by building network topological diagram, the demand of post technical ability can intuitively be showed.
In the present embodiment, in step S3, the degree of correlation in post and skill attribute noun is calculated according to following method：
Wherein, CorFor the degree of correlation in post and skill attribute noun, NPBelieve for the recruitment of post P
Cease number；NSContain the recruitment information number of skill attribute noun S for post；NPSIt is P for recruitment post and contains skill attribute noun S
Recruitment information number, NAFor total recruitment information number；By this method, it can accurately obtain between technical ability and post needed for society
Correlation, so that it is guaranteed that final analysis result is accurate, and be conducive to efficient educational guidance.
In the present embodiment, further, second layer technical ability node is determined according to following method：
A. it in the recruitment information that recruitment post is P, filters out while containing the recruitment information number of skilled S1 and technical ability S2
NPS1S2, and the support S between numeracy skills S1 and technical ability S2P-S1S2：
Wherein, NPFor the recruitment information number of post P；
B. confidence level C is calculatedPS1-S2:Wherein, NPS1For in recruitment information containing skilled S1's
Recruitment information number；Technical ability S1 is the first layer technical ability node of determination；
C. as support SP-S1S2More than support threshold and confidence level CPS1-S2It is when more than confidence threshold value, technical ability S2 is true
It is set to the second layer technical ability node of first layer technical ability node S1, after the second technical ability node determines, you can formed about post-technical ability
The network topological diagram of demand is presented by all means conducive to the demand by society to post technical ability.It is, of course, also possible to include step d：
D. the technical ability node of the second layer or more is calculated successively according to step a-c, until not meeting the skill of step c conditionals
Until energy；When calculating to higher level, it may appear that repeat, redundancy the phenomenon that, need the technical ability several points for rejecting repeated and redundant, formed
Final network topological diagram, in general, it is only necessary to calculate and arrive second layer technical ability node, it will be able to understand apparent show
The demand status of post technical ability, by verification, when by calculating to higher level technical ability node and after reject repeated and redundant,
The topological diagram presented is formed by topological diagram with two layers of technical ability node and almost inhibits, and will appear in individual technical ability higher level
Technical ability node, but be not social universal required.
In the present embodiment, screening analysis is carried out to data using Ontology method, by post in recruitment information it is identical but
It is that the different recruitment post of statement is attributed to same post, in this way, can effectively proposes the interference of duplicate data, from
And ensure final precision of analysis.
Finally illustrate, the above examples are only used to illustrate the technical scheme of the present invention and are not limiting, although with reference to compared with
Good embodiment describes the invention in detail, it will be understood by those of ordinary skill in the art that, it can be to the skill of the present invention
Art scheme is modified or replaced equivalently, and without departing from the objective and range of technical solution of the present invention, should all be covered at this
In the right of invention.
Claims (5)
1. a kind of post skill requirement analysis method based on big data, it is characterised in that：Including：
S1. from the recruitment information obtained in network data in setting time, the recruitment information based on acquisition extracts recruitment post
With job requirements field；
S2. Chinese word segmentation is carried out to job requirements field using technical ability dictionary, extracts skill attribute noun；
S3. it counts the appearance frequency of skill attribute noun and calculates the degree of correlation in post and skill attribute noun, and will calculate
The degree of correlation come is compared with the relevance threshold of setting, retains the skill attribute noun that the degree of correlation is more than relevance threshold,
And using the skill attribute noun as the proprietary technical ability needed for corresponding post；
S4. network topological diagram is built, using post as root node, frequency will occur and be more than setting and frequency and the degree of correlation occur to be more than phase
First layer technical ability node of the skill attribute noun of pass degree threshold value as the post；Then the is determined under first layer technical ability node
Two layers of technical ability node simultaneously form network topological diagram.
2. the post skill requirement analysis method based on big data according to claim 1, it is characterised in that：In step S3,
The degree of correlation in post and skill attribute noun is calculated according to following method：
Wherein, CorFor the degree of correlation in post and skill attribute noun, NPFor the recruitment information of post P
Number；NSContain the recruitment information number of skill attribute noun S for post；NPSIt is P and containing skill attribute noun S for recruitment post
Recruitment information number, NAFor total recruitment information number.
3. the post skill requirement analysis method based on big data according to claim 2, it is characterised in that：According to such as lower section
Method determines second layer technical ability node：
A. it in the recruitment information that recruitment post is P, filters out while the recruitment information number N containing skilled S1 and technical ability S2PS1S2,
And the support S between numeracy skills S1 and technical ability S2P-S1S2：
Wherein, NPFor the recruitment information number of post P；
B. confidence level C is calculatedPS1-S2:Wherein, NPS1For the recruitment letter containing skilled S1 in recruitment information
Cease number；Technical ability S1 is the first layer technical ability node of determination；
C. as support SP-S1S2More than support threshold and confidence level CPS1-S2When more than confidence threshold value, technical ability S2 is determined as
The second layer technical ability node of first layer technical ability node S1.
4. the post skill requirement analysis method based on big data according to claim 1, it is characterised in that：Further include utilizing
Ontology method carries out screening analysis to data, post in recruitment information is identical but the different recruitment post of statement sums up
For same post.
5. the post skill requirement analysis method based on big data according to claim 1, it is characterised in that：In step S2,
It is segmented using Jieba Chinese word segmentation tools, and by skill attribute noun according to there is frequency according to arranging from big to small
Sequence.
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| CN116432965A (en) * | 2023-04-17 | 2023-07-14 | 北京正曦科技有限公司 | Post capability analysis method and tree diagram generation method based on knowledge graph |
| CN116523225A (en) * | 2023-04-18 | 2023-08-01 | 泸州职业技术学院 | Data mining-based overturning classroom hybrid teaching method |
| WO2023245419A1 (en) * | 2022-06-21 | 2023-12-28 | 北京全道智源教育科技院 | Vocational education course data collection method and apparatus, and computer device and medium |
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Cited By (7)
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| CN110442862A (en) * | 2019-07-11 | 2019-11-12 | 新华三大数据技术有限公司 | Data processing method and device based on recruitment information |
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| WO2023245419A1 (en) * | 2022-06-21 | 2023-12-28 | 北京全道智源教育科技院 | Vocational education course data collection method and apparatus, and computer device and medium |
| CN116432965A (en) * | 2023-04-17 | 2023-07-14 | 北京正曦科技有限公司 | Post capability analysis method and tree diagram generation method based on knowledge graph |
| CN116432965B (en) * | 2023-04-17 | 2024-03-22 | 北京正曦科技有限公司 | Post capability analysis method and tree diagram generation method based on knowledge graph |
| CN116523225A (en) * | 2023-04-18 | 2023-08-01 | 泸州职业技术学院 | Data mining-based overturning classroom hybrid teaching method |
| CN116523225B (en) * | 2023-04-18 | 2024-01-23 | 泸州职业技术学院 | Data mining-based overturning classroom hybrid teaching method |
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