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基于Python的求职信息采集分析系统设计与实现
引用本文:关鑫洁,黄思奇,位磊. 基于Python的求职信息采集分析系统设计与实现[J]. 计算机时代, 2020, 0(3): 32-34,39
作者姓名:关鑫洁  黄思奇  位磊
作者单位:华中科技大学文华学院,湖北 武汉 430074;华中科技大学文华学院,湖北 武汉 430074;华中科技大学文华学院,湖北 武汉 430074
摘    要:为了便于求职者和招聘单位更精准地把握当前就业市场的变化与需求,提出了基于Python语言的求职信息采集分析系统,利用Scrapy分布式爬虫获取招聘信息,利用数据挖掘技术分析求职者意向,最后将数据清理并格式化后进行可视化展示。所得出的数据模型可以帮助求职者有效的评估出合适岗位和薪资,从而提高求职者的求职效率,同时招聘单位也可以通过此模型对招聘市场的趋势进行总体把握,提高企业的竞争力。

关 键 词:PYTHON  Scrapy分布式爬虫  数据挖掘  数据可视化

Design and implementation of job search information collection and analysis system using Python
Guan Xinjie,Huang Siqi,Wei Lei. Design and implementation of job search information collection and analysis system using Python[J]. Computer Era, 2020, 0(3): 32-34,39
Authors:Guan Xinjie  Huang Siqi  Wei Lei
Affiliation:(Huazhong University of Science and Technology,Wenhua College,Wuhan,Hubei 430074,China)
Abstract:In order to facilitate the job seekers and the employers to grasp the changes and demands of the current employment market more accurately,this paper proposes a job information collection and analysis system based on Python language,which uses the Scrapy distributed crawler to obtain the recruitment information,uses the data mining technology to analyze the intention of the job seekers,and finally clears and formats the data for visualized display.The data model obtained in this paper can help job seekers effectively assess the right jobs and salaries,thereby improving the efficiency of job seekers,and the employers can also use this model to grasp the overall trend of the recruitment market,improve the competitiveness of enterprises.
Keywords:Python  Scrapy distributed crawler  data mining  data visualization
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