Occupational profiling driven by online job advertisements: Taking the data analysis and processing engineering technicians as an example.

The occupational profiling system driven by the traditional survey method has some shortcomings such as lag in updating, time consumption and laborious revision. It is necessary to refine and improve the traditional occupational portrait system through dynamic occupational information. Under the cir...

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Autores principales:	Lina Cao, Jian Zhang, Xinquan Ge, Jindong Chen
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/e14e7629044d4217b8aaffb1de9368c4
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spelling	oai:doaj.org-article:e14e7629044d4217b8aaffb1de9368c42021-12-02T20:10:17ZOccupational profiling driven by online job advertisements: Taking the data analysis and processing engineering technicians as an example.1932-620310.1371/journal.pone.0253308https://doaj.org/article/e14e7629044d4217b8aaffb1de9368c42021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0253308https://doaj.org/toc/1932-6203The occupational profiling system driven by the traditional survey method has some shortcomings such as lag in updating, time consumption and laborious revision. It is necessary to refine and improve the traditional occupational portrait system through dynamic occupational information. Under the circumstances of big data, this paper showed the feasibility of vocational portraits driven by job advertisements with data analysis and processing engineering technicians (DAPET) as an example. First, according to the description of occupation in the Chinese Occupation Classification Grand Dictionary, a text similarity algorithm was used to preliminarily choose recruitment data with high similarity. Second, Convolutional Neural Networks for Sentence Classification (TextCNN) was used to further classify the preliminary corpus to obtain a precise occupational dataset. Third, the specialty and skill were taken as named entities that were automatically extracted by the named entity recognition technology. Finally, putting the extracted entities into the occupational dataset, the occupation characteristics of multiple dimensions were depicted to form a profile of the vocation.Lina CaoJian ZhangXinquan GeJindong ChenPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 6, p e0253308 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Lina Cao Jian Zhang Xinquan Ge Jindong Chen Occupational profiling driven by online job advertisements: Taking the data analysis and processing engineering technicians as an example.
description	The occupational profiling system driven by the traditional survey method has some shortcomings such as lag in updating, time consumption and laborious revision. It is necessary to refine and improve the traditional occupational portrait system through dynamic occupational information. Under the circumstances of big data, this paper showed the feasibility of vocational portraits driven by job advertisements with data analysis and processing engineering technicians (DAPET) as an example. First, according to the description of occupation in the Chinese Occupation Classification Grand Dictionary, a text similarity algorithm was used to preliminarily choose recruitment data with high similarity. Second, Convolutional Neural Networks for Sentence Classification (TextCNN) was used to further classify the preliminary corpus to obtain a precise occupational dataset. Third, the specialty and skill were taken as named entities that were automatically extracted by the named entity recognition technology. Finally, putting the extracted entities into the occupational dataset, the occupation characteristics of multiple dimensions were depicted to form a profile of the vocation.
format	article
author	Lina Cao Jian Zhang Xinquan Ge Jindong Chen
author_facet	Lina Cao Jian Zhang Xinquan Ge Jindong Chen
author_sort	Lina Cao
title	Occupational profiling driven by online job advertisements: Taking the data analysis and processing engineering technicians as an example.
title_short	Occupational profiling driven by online job advertisements: Taking the data analysis and processing engineering technicians as an example.
title_full	Occupational profiling driven by online job advertisements: Taking the data analysis and processing engineering technicians as an example.
title_fullStr	Occupational profiling driven by online job advertisements: Taking the data analysis and processing engineering technicians as an example.
title_full_unstemmed	Occupational profiling driven by online job advertisements: Taking the data analysis and processing engineering technicians as an example.
title_sort	occupational profiling driven by online job advertisements: taking the data analysis and processing engineering technicians as an example.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/e14e7629044d4217b8aaffb1de9368c4
work_keys_str_mv	AT linacao occupationalprofilingdrivenbyonlinejobadvertisementstakingthedataanalysisandprocessingengineeringtechniciansasanexample AT jianzhang occupationalprofilingdrivenbyonlinejobadvertisementstakingthedataanalysisandprocessingengineeringtechniciansasanexample AT xinquange occupationalprofilingdrivenbyonlinejobadvertisementstakingthedataanalysisandprocessingengineeringtechniciansasanexample AT jindongchen occupationalprofilingdrivenbyonlinejobadvertisementstakingthedataanalysisandprocessingengineeringtechniciansasanexample
_version_	1718375030821224448

Occupational profiling driven by online job advertisements: Taking the data analysis and processing engineering technicians as an example.

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