Analysis of big data job requirements based on K-means text clustering in China.

This paper aims to understand the characteristics of domestic big data jobs requirements through k-means text clustering, help enterprises, and employees to identify big data talents, and promote the further development of big data-related research. Firstly, the crawler software is used to crawl the...

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Autores principales:	Dai Debao, Ma Yinxia, Zhao Min
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/4224a96e9b584cf48871d9d5262c9f16
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spelling	oai:doaj.org-article:4224a96e9b584cf48871d9d5262c9f162021-12-02T20:18:41ZAnalysis of big data job requirements based on K-means text clustering in China.1932-620310.1371/journal.pone.0255419https://doaj.org/article/4224a96e9b584cf48871d9d5262c9f162021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0255419https://doaj.org/toc/1932-6203This paper aims to understand the characteristics of domestic big data jobs requirements through k-means text clustering, help enterprises, and employees to identify big data talents, and promote the further development of big data-related research. Firstly, the crawler software is used to crawl the recruitment information about "big data" on the zhaopin.com recruitment website. Then, Jieba word segmentation and K-means text clustering are used to cluster big data recruitment positions, and the number of clustering was determined by the average sum of squares within the group. Finally, big data jobs are divided into 10 categories, and the urban distribution, salary level, education requirements, and experience requirements of big data jobs are discussed and analyzed from the perspectives of the overall data set and clustering results, to clarify the characteristics of big data job demands. The analysis results show that the job demands of big data are mainly distributed in first-tier cities and new first-tier cities. Enterprises are more inclined to job seekers with a college degree or bachelor's degree and more than one year's relevant experience. There are wage differences among different types of jobs. The higher the position, the higher the requirement for education and experience will be.Dai DebaoMa YinxiaZhao MinPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 8, p e0255419 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Dai Debao Ma Yinxia Zhao Min Analysis of big data job requirements based on K-means text clustering in China.
description	This paper aims to understand the characteristics of domestic big data jobs requirements through k-means text clustering, help enterprises, and employees to identify big data talents, and promote the further development of big data-related research. Firstly, the crawler software is used to crawl the recruitment information about "big data" on the zhaopin.com recruitment website. Then, Jieba word segmentation and K-means text clustering are used to cluster big data recruitment positions, and the number of clustering was determined by the average sum of squares within the group. Finally, big data jobs are divided into 10 categories, and the urban distribution, salary level, education requirements, and experience requirements of big data jobs are discussed and analyzed from the perspectives of the overall data set and clustering results, to clarify the characteristics of big data job demands. The analysis results show that the job demands of big data are mainly distributed in first-tier cities and new first-tier cities. Enterprises are more inclined to job seekers with a college degree or bachelor's degree and more than one year's relevant experience. There are wage differences among different types of jobs. The higher the position, the higher the requirement for education and experience will be.
format	article
author	Dai Debao Ma Yinxia Zhao Min
author_facet	Dai Debao Ma Yinxia Zhao Min
author_sort	Dai Debao
title	Analysis of big data job requirements based on K-means text clustering in China.
title_short	Analysis of big data job requirements based on K-means text clustering in China.
title_full	Analysis of big data job requirements based on K-means text clustering in China.
title_fullStr	Analysis of big data job requirements based on K-means text clustering in China.
title_full_unstemmed	Analysis of big data job requirements based on K-means text clustering in China.
title_sort	analysis of big data job requirements based on k-means text clustering in china.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/4224a96e9b584cf48871d9d5262c9f16
work_keys_str_mv	AT daidebao analysisofbigdatajobrequirementsbasedonkmeanstextclusteringinchina AT mayinxia analysisofbigdatajobrequirementsbasedonkmeanstextclusteringinchina AT zhaomin analysisofbigdatajobrequirementsbasedonkmeanstextclusteringinchina
_version_	1718374218824941568

Analysis of big data job requirements based on K-means text clustering in China.

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