Journal of Korea Game Society (한국게임학회 논문지)

Korea Game Society (한국게임학회)
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Analysis of VR Game Trends using Text Mining and Word Cloud -Focusing on STEAM review data-

텍스트마이닝과 워드 클라우드를 활용한 VR 게임 트렌드 분석 -스팀(steam) 리뷰 데이터를 중심으로-

  • Na, Ji Young (Dept. of Content Convergence, Ewha Womans University)
  • 나지영 (이화여자대학교 융합콘텐츠학과)
  • Received : 2021.12.01
  • Accepted : 2022.01.04
  • Published : 2022.02.20
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Abstract

With the development of fourth industrial revolution-related technology and increased demands for non-face-to-face services, VR games attract attention. This study collected VR game review data from an online game platform STEAM and analyzed chronical trends using text mining and word cloud analysis. According to the results, experience and perceived cost were major trends from 2016 to 2017, increased demands for FPS and rhythm games were from 2018 to 2019, and story and immersion were from 2020 to 2021. It aims to contribute to expanding the base of VR games by identifying the keywords VR users take interest in by period.

4차 산업혁명 관련 기술의 발전과 비대면 서비스 수요 증가로 VR 게임이 주목받고 있다. 본 연구는 VR 게임의 리뷰 데이터를 온라인 게임 플랫폼 스팀(STEAM)에서 수집하고 텍스트 마이닝과 워드 클라우드 분석을 적용해 시대별 트렌드를 분석했다. 연구 결과, 프레즌스와 FPS는 시기와 상관 없이 VR 게임의 특징으로 나타났고, 2016~2017년은 체험과 지각된 비용, 2018~2019년은 FPS와 리듬게임의 수요 증가, 2020~2021년은 스토리와 몰입감이 주요 트렌드로 나타났다. 본 연구는 VR 게임 사용자들이 관심을 보이는 키워드를 시기별로 파악해 VR게임 저변 확대에 기여하고자 한다.

Keywords

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