Analysis and Research on Recruitment Information for Data Related Positions Based on Data Mining Technology
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.
analysis of position requirementcrawler technologydata miningvisualization technologyLDA topic model
国家科技期刊平台
NSTL
万方数据
