Text Mining Utilization on the Perception of Organizational Core Talent Competencies among Employees: A Preliminary Survey for Core Competency Education and Development

The purpose of this study is to investigate and analyze the competencies of organizational core talents as perceived by employees. To achieve this, interviews and survey questions were created through a review of prior research, using both structured and unstructured questions. Subsequently, data from 134 employees, excluding insincere respondents, were collected through offline interviews and online surveys. The analysis utilized text mining techniques, a big data analysis method, and was conducted by converting descriptive response content into text files using R 4.3.2. The research methodology began with a keyword frequency analysis, followed by visualization through cloud analysis. Then, a keyword difference analysis between organization sizes was conducted using TF-IDF weight comparison, and meaningful word pairs were extracted and categorized through N-gram semantic network analysis, with interview content provided as examples. The results revealed that employees perceive the core competencies of core talents to include problem-solving abilities, critical thinking skills, creativity, and communication skills, recognizing their contribution to project execution and work tasks. Based on these findings, the study discusses its significance, implications, limitations, and directions for future research.