LDA와 Word2Vec을 활용한 「동물의 숲: 뉴 호라이즌스」 리뷰 분석: 힐링 게임 인식에 대한 연구

• 영문명: Review Analysis of Animal Crossing: New Horizons Using LDA and Word2Vec: A Study on Healing Game Perception
• 발행기관: 한국컴퓨터게임학회
• 저자명: 조범준(Beomjun JO) 길태숙(Taesuk KIHL)
• 간행물 정보: 『한국컴퓨터게임학회논문지』제38권 2호, 1~11쪽, 전체 11쪽
• 주제분류: 공학 > 컴퓨터학
• 파일형태: PDF
• 발행일자: 2025.06.30

국문 초록

This study applies Latent Dirichlet Allocation (LDA) and Word2Vec-based semantic network analysis to explore the elements that contribute to the perception of Animal Crossing: New Horizons as a healing game. User comments were collected, with LDA used to extract latent topics and Word2Vec to analyze semantic associations among key terms. The analysis identified major themes such as gameplay immersion, resource crafting and settlement activities, emotional satisfaction, restoration of daily rhythms, and formation of social relationships. Word2Vec further revealed detailed emotional experiences and activity contexts around key terms like island, craft, relaxing, time, and people. The integrated findings confirmed that Animal Crossing fosters psychological stability and healing experiences across both structural (e.g., spatial creation, task routines) and emotional (e.g., relaxation, social bonding) dimensions. This study also highlights how LDA and Word2Vec can be complementarily applied to user-generated text analysis, demonstrating the methodological potential for expanding natural language processing-based approaches in game user experience research.

목차

1. Introduction

2. Background

3. Experimental Method

4. Review Analysis Result

5. LDA and Word2Vec Integrated Analysis

6. Conclusion

참고문헌

키워드

Animal Crossing Healing Game User Comments Text Mining LDA(Latent Dirichlet Allocation) Word2Vec Game User Experience review analysis