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Analysis of Emotional Tendency and Syntactic Properties of VR Game Reviews

  • Beihang University
  • NetEase Games
  • Technical University of Denmark

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

The studies of player reviews can help game developers design and optimize VR games. To this end, we investigated 288,685 reviews from 506 VR games on the Steam platform to analyze their sentiment tendencies using the machine learning-based model SKEP, which finds that although some of the reviews are 'recommend', they actually have opposite emotional tendencies. We also study the syntactic properties based on the natural language processing (NLP) kits Stanza and NLTK library, and we find that cybersickness is a significant concern for players.

源语言英语
主期刊名Proceedings - 2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2022
出版商Institute of Electrical and Electronics Engineers Inc.
648-649
页数2
ISBN(电子版)9781665484022
DOI
出版状态已出版 - 2022
活动2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2022 - Virtual, Online, 新西兰
期限: 12 3月 202216 3月 2022

出版系列

姓名Proceedings - 2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2022

会议

会议2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2022
国家/地区新西兰
Virtual, Online
时期12/03/2216/03/22

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