现代信息科技2026，Vol.10Issue(17)：98-101,109,5.DOI:10.19850/j.cnki.2096-4706.2026.17.018
基于LDA主题模型的郑州市数据类岗位人才需求分析
Analysis of Talent Demand for Data-Related Positions in Zhengzhou Based on LDA Topic Model
摘要
Abstract
To serve the high-quality development of the regional digital economy and accurately identify the talent competence requirements of data-related positions,this study collects recruitment information of data-related positions in Zhengzhou from Zhilian Recruitment and BOSS Zhipin through web crawling,and obtains 639 valid"position requirement"texts after data cleaning.Text mining analysis is conducted using Chinese word segmentation,word frequency statistics,and TF-IDF keyword extraction.The number of topics is determined according to perplexity and topic coherence;an LDA topic model is then applied to extract topics,and the pyLDAvis tool is used for visual presentation.The results show that the demand for data-related positions mainly concentrates on two major themes:decision-making and technology-oriented.The former emphasizes business understanding,management,coordination,and communication skills,while the latter focuses on programming skills,tool application,and practical project experience.The findings indicate that enterprises'demand for data talent presents a compound"technology+business"feature,providing a reference for curriculum optimization in universities and career planning for job seekers.关键词
LDA主题模型/文本挖掘/人才需求分析/招聘数据/数据类岗位Key words
LDA topic model/text mining/talent demand analysis/recruitment data/data-related positions分类
信息技术与安全科学引用本文复制引用
宋彦利..基于LDA主题模型的郑州市数据类岗位人才需求分析[J].现代信息科技,2026,10(17):98-101,109,5.基金项目
2025年郑州市社会科学调研课题(0557) （0557）
