@inproceedings{dc9de09e9ca246cea8d2422018a17a87,
title = "The wisdom of the gaming crowd",
abstract = "In this paper, we report on three projects in which we are applying natural language processing techniques to analyse video game reviews. We present our process, techniques, and progress for extracting and analysing player reviews from the gaming platform Steam. Analysing video game reviews presents great opportunity to assist players to choose games to buy, to help developers to improve their games, and to aid researchers in further understanding player experience in video games. With limited previous research that specifically focuses on game reviews, we aim to provide a baseline for future research to tackle some of the key challenges. Our work shows promise for using natural language processing techniques to automatically identify features, sentiment, and spam in video game reviews on the Steam platform.",
keywords = "Game reviews, Natural language processing, Nlp, Qualitative analysis, Steam, Text mining, Video games",
author = "Robert Jeffrey and Pengze Bian and Fan Ji and Penny Sweetser",
note = "Publisher Copyright: {\textcopyright} 2020 ACM.; 7th ACM SIGCHI Annual Symposium on Computer-Human Interaction in Play, CHI PLAY 2020 ; Conference date: 02-11-2020 Through 04-11-2020",
year = "2020",
month = nov,
day = "2",
doi = "10.1145/3383668.3419915",
language = "English",
series = "CHI PLAY 2020 - Extended Abstracts of the 2020 Annual Symposium on Computer-Human Interaction in Play",
publisher = "Association for Computing Machinery (ACM)",
pages = "272--276",
booktitle = "CHI PLAY 2020 - Extended Abstracts of the 2020 Annual Symposium on Computer-Human Interaction in Play",
address = "United States",
}