Research on Data Analysis and Visualization of Recruitment Positions Based on Text Mining

With the rapid development of Internet and impact COVID-19, online recruitment has gradually become mainstream form recruitment. However, existing platforms fail to fully combine job seekers’ demands for salary, region, benefits, other aspects, which cloud not display information related positions in a multidimensional way. To solve this problem, paper firstly uses web crawler collect from websites based on keywords retrieved by users, then extracts using regular expressions, cleans processes extracted third-party libraries such as Pandas NumPy. Finally, through probabilistic theme model text mining, topic description content is modeled. Combining with django framework visualization technology, relationship among education requirement, experience location, aspects visually displayed At same time, GM used realize gray prediction number employment personnel industries, provides reference majority seekers enterprises.