ArticlePloS one2021
Analysis of big data job requirements based on K-means text clustering in China.
Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed.
- WeNet-RF: An Automatic Classification Model for Financial Reimbursement Budget Items.PloS one · 2025Article
- Public Attention and Sentiment toward Intimate Partner Violence Based on Weibo in China: A Text Mining Approach.Healthcare (Basel, Switzerland) · 2022Article
- Research and Application of Clustering Algorithm for Text Big Data.Computational intelligence and neuroscience · 2022Article
- Clustering Algorithm in English Language Learning Pattern Matching under Big Data Framework.Computational intelligence and neuroscience · 2022Article
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Authors and funding
3 authors.
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No grant is acknowledged in the PubMed record.
Abstract
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.
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