텍스트 마이닝 기법을 활용한 HR 관련 리뷰 및 기업성과와의 연관성 분석

Analysis of the Relationship between HR-Related Reviews and Corporate Performance Using Text Mining Techniques

초록

This study explores the relationship between employee perceptions of HR-related factors in online company reviews and firm performance, while examining the potential use of review data in HR research. Glassdoor reviews were collected and analyzed using BERT-based sentiment analysis and regression analysis. The results indicate that several HR-related factors are significantly associated with firm performance. These findings suggest that employee review data can serve as a supplementary source for capturing employees' perceptions of HR practices. However, because this study uses 2020 review data and adopts an exploratory design, the results should be interpreted as associations rather than causal effects. Future research should incorporate diverse data sources and longitudinal analyses to enable more refined HR evaluation.

키워드

기업성과텍스트마이닝BERT감성분석웹크롤링Firm PerformanceText-MiningBERTSentiment AnalysisWeb Crawling
제목
텍스트 마이닝 기법을 활용한 HR 관련 리뷰 및 기업성과와의 연관성 분석
제목 (타언어)
Analysis of the Relationship between HR-Related Reviews and Corporate Performance Using Text Mining Techniques
저자
이소연김진화
발행일
2026-06
유형
Y
저널명
산업융합연구
24
6
페이지
41 ~ 50