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http://dx.doi.org/10.7583/JKGS.2022.22.1.87

Analysis of VR Game Trends using Text Mining and Word Cloud -Focusing on STEAM review data-  

Na, Ji Young (Dept. of Content Convergence, Ewha Womans University)
Publication Information
Journal of Korea Game Society / v.22, no.1, 2022 , pp. 87-98 More about this Journal
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.
Keywords
VR Game; Review Data; Text Mining; Word Cloud; Steam;
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Times Cited By KSCI : 6  (Citation Analysis)
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