基于数据挖掘技术的数据类岗位招聘信息分析与研究OA

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.