갱생보호지원 기간 내 출소자의 욕구역동에 따른 사회적응 전략

This study was conducted to identify the needs of the ex-offenders by using the psychological counseling data of the ex-offenders accumulated in the computer network for the past 10 years by the Korea rehabilitation agency. A text mining technique that can analyze unstructured text data and a semantic network analysis that can confirm the connectivity between keywords were conducted. First, in the psychological counseling data of ex-offenders, the needs of the ex-offenders were examined, focusing on the keywords with high frequency of appearance. In addition, the need for the entire rehabilitation period, as well as the period from the start of protection to one year, was divided into four stages to examine how the needs of the ex-offenders changed. In addition, a research problem that this need dynamics will be different between the first offender group and the second offender group was established, analyzed, and presented the results. As a result, it was confirmed that the keywords related to vocational training and employment such as ‘employment’, ‘work’, ‘vocational training’, and ‘acquisition’ appeared in the top ranks among the ex-offenders. In the case of the first offender group and the recidivist group, the need for employment and vocational training decreased as the period of rehabilitation passed. ', the desire of ‘emergency aid’ continued. That is, it can be inferred that the desire for employment and vocational training has not been resolved, and the need for livelihood support remains. Therefore, based on the results of this study, which looked at the exodus by period during the rehabilitation protection support period, it is expected to be used as basic data for realizing user-centered rehabilitation protection welfare. In addition, this study is meaningful in that the research was conducted by quantifying it so that it can be applied to big data analysis by utilizing the psychological counseling data possessed by the institution.