摘要
通过Python爬虫技术,从51Job上爬取与人工智能相关的招聘信息.爬取时采用二级深度爬行策略,确保数据的全面性.结合自然语言处理技术,对数据进行重复值、岗位名、工资、工作地点、行业、公司人数等规范化和精确化处理.从热门招聘岗位、行业、城市、公司规模等进行挖掘与分析.根据结果,在课程设置、师资建设、设施建设、校企合作、就业指导等方面对高校人工智能类专业建设提出了相关建议.
The AI-related job hunting information is first obtained via 51Job,Python crawler technology,with the two-level depth crawling strategy adopted to ensure the comprehensiveness of the data,which were processed in a standardized and accurate manner with natural language processing technology including duplicate value,position title,salary,work location,industry,number of employees.Further analysis was conducted on popular recruitment posts,industries,cities and company size.Suggestions are put forward for the construction of artificial intelligence specialty in colleges regarding curriculum,faculty,facility,teaching construction,school-enterprise cooperation and career guidance.
作者
罗燕
LUO Yan(Department of Information Engineering,Shijiazhuang University of Applied Technology,Shijiazhuang,Hebei 050081,China)
出处
《石家庄职业技术学院学报》
2022年第6期9-17,共9页
Journal of Shijiazhuang College of Applied Technology
关键词
人工智能
PYTHON
数据挖掘
爬取
招聘信息
专业建设
artificial intelligence
Python
data mining
crawling
recruitment information
specialty construction
