Study on hiring decision: Analyzing rejected applicants by mining individual job placement data of public employment security offices

Although understanding the evaluation and hiring decisions of employers during employment screening is highly important in the sphere of job hunting, the primary factors behind the decision process remain difficult to comprehend. By using the text mining technique to analyze business data from public employment service offices, this report attempts to identify the primary factors behind hiring decisions when the employing corporation is recruiting mid-career candidates. In concrete terms, we first analyzed the results of the employing corporation's hiring decisions and the reasons behind them in individual cases of job referral, as understood by employees at public employment service offices. We then proposed a method to identify the primary factors behind the decision process. Furthermore, we used the proposed method to conduct analyses of the results of the decision process and of rejected applicants in an attempt to understand the primary factors behind negative hiring decisions. The results show that while "experience", "work", "age" etc. is extracted, by age groups or occupational categories, characteristic terms are different.