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基于数据挖掘技术的数据类岗位招聘信息分析与研究

王姣姣 姚华平

现代信息科技2024,Vol.8Issue(2):13-16,20,5.
现代信息科技2024,Vol.8Issue(2):13-16,20,5.DOI:10.19850/j.cnki.2096-4706.2024.02.004

基于数据挖掘技术的数据类岗位招聘信息分析与研究

Analysis and Research on Recruitment Information for Data Related Positions Based on Data Mining Technology

王姣姣 1姚华平1

作者信息

  • 1. 洛阳理工学院,河南 洛阳 471023
  • 折叠

摘要

Abstract

By mining and analyzing information from recruitment websites,we can understand the distribution of job demands and development trends,which can provide important guidance for job seekers.Firstly,crawler technology is used to obtain relevant information on data related positions on the recruitment websites of"Lagou Net"and"51job".After data preprocessing,Jieba segmentation is used for data feature analysis to visually display the distribution characteristics of data in data related positions,and a word cloud map of welfare benefits and company types is obtained;then,the TF-IDF algorithm is used to extract keywords from the job requirements of five types of data related positions,enabling job seekers to select the best position based on the job profile;finally,based on the LDA topic model,the optimal number of topics is determined,and then job requirements are mined.

关键词

岗位需求分析/爬虫技术/数据挖掘/可视化技术/LDA主题模型

Key words

analysis of position requirement/crawler technology/data mining/visualization technology/LDA topic model

分类

信息技术与安全科学

引用本文复制引用

王姣姣,姚华平..基于数据挖掘技术的数据类岗位招聘信息分析与研究[J].现代信息科技,2024,8(2):13-16,20,5.

现代信息科技

2096-4706

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