Research Article
Research on Recruitment Information Based on Text Mining Technology under the Digitization Perspective
@INPROCEEDINGS{10.4108/eai.15-12-2023.2345352, author={Changhong Dong and Daoyuan Zheng and Junlong Wang and Zhangli Dong}, title={Research on Recruitment Information Based on Text Mining Technology under the Digitization Perspective}, proceedings={Proceedings of the 3rd International Conference on Public Management and Big Data Analysis, PMBDA 2023, December 15--17, 2023, Nanjing, China}, publisher={EAI}, proceedings_a={PMBDA}, year={2024}, month={5}, keywords={text mining; python; crawler; tf-idf algorithm; visual analysis}, doi={10.4108/eai.15-12-2023.2345352} }- Changhong Dong
Daoyuan Zheng
Junlong Wang
Zhangli Dong
Year: 2024
Research on Recruitment Information Based on Text Mining Technology under the Digitization Perspective
PMBDA
EAI
DOI: 10.4108/eai.15-12-2023.2345352
Abstract
The development of the Internet has led to rapid progress in all walks of life, and domestic enterprises are no exception. There has been a sea change in talent recruitment, which has changed from traditional offline recruitment to online recruitment relying on recruitment apps or recruitment websites, such as Mileageplus, Wisdomlink Recruitment, Lagoo Recruitment, boss Direct Hire and so on. In this paper, we use a selenium module to crawl all the recruitment information released after June 2022 by Boss Direct Hire in a targeted way after data preprocessing and then analyze it using text mining methods. First of all, from the salary, work location, welfare benefits, and other aspects of concern to job seekers for visual analysis, followed by the use of TF-IDF algorithm for similarity analysis of popular jobs between similar jobs to consider other favorable factors, so that in the employment situation is grim, and the market competition is fierce, to provide reference and reference for job seekers, to help them find a more satisfactory job.