대한민국 스포츠 스타의 자서전 감정분석: 인공지능 언어 모델 KoBERT를 활용하여 = Emotion Analysis of Autobiographies of South Korean Sports Stars: Utilizing the AI Language Model KoBERT

다국어 초록 (Multilingual Abstract)

Purpose This study aimed to examine the emotions embedded in the autobiographies of successful sports stars and to determine, from the perspective of positive psychology, the extent to which positive and negative emotions were reflected in their lives as portrayed in their autobiographies. For objective analysis, the AI model KoBERT, known for its utility in Korean emotion analysis, was trained and employed for comparison and analysis. Methods The study was conducted using sentences from the autobiographies of six South Korean sports stars (four baseball players and two soccer players), which totaled 20,781 sentences. The KoBERT model underwent additional training in two phases: 96,865 sentences were used in the first phase, and 43,799 sentences were used in the second. The final training accuracy of the model was 89.85%, and the correctness rate was 77.31%. Results First, negative emotions were observed to be more frequent than positive emotions in the sentences of the autobiographies of the six South Korean sports stars. Second, the frequency of emotions in the sentences was ranked as follows: sadness, joy, fear, surprise, anger, happiness, disgust, embarrassment, anxiety, and hurt. The combination of sadness and joy accounted for more than 80% of the total emotions. Conclusion The sentences in the autobiographies of the six sports stars analyzed in this study are highly characterized by negative emotions, and with the exception of sadness and joy, which make up the majority of the sentences, negative emotions are very infrequent, suggesting that they may have been controlled and overcome through personal competence and effort. Due to the complexity and irregularity of human emotions and inner states, achieving positive outcomes necessitates moving beyond perspectives that emphasize a positive emotion or unconditionally reject negative emotions. It is crucial for readers, including athletes and individuals seeking insights from autobiographies, to identify and regulate their optimal emotional zones. Future research should employ autobiographies from diverse sports and domains to investigate strategies for effectively managing and leveraging negative emotions, while further studies utilizing comprehensive and varied datasets are essential to advance research employing AI models across multiple disciplines.