Job Information Crawling, Visualization and Clustering of Job Search Websites

Abstract

With so much information available on job-hunting websites, the partial information provided by job-hunting websites is of little reference value to fresh graduates or cross-industry job seekers. This paper is a machine learning algorithm based on Python language. It makes a comprehensive analysis of job information and realizes the visualization and text clustering of job information. It has good applicability and is convenient to be extended to other fields.