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The wisdom of the gaming crowd

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dc.contributor.authorJeffrey, Roberten
dc.contributor.authorBian, Pengzeen
dc.contributor.authorJi, Fanen
dc.contributor.authorSweetser, Pennyen
dc.date.accessioned2025-12-17T19:41:11Z
dc.date.available2025-12-17T19:41:11Z
dc.date.issued2020-11-02en
dc.description.abstractIn 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.en
dc.description.statusPeer-revieweden
dc.format.extent5en
dc.identifier.isbn9781450375870en
dc.identifier.otherORCID:/0000-0002-6543-557X/work/161428830en
dc.identifier.scopus85096772084en
dc.identifier.urihttps://hdl.handle.net/1885/733796285
dc.language.isoenen
dc.publisherAssociation for Computing Machinery (ACM)en
dc.relation.ispartofCHI PLAY 2020 - Extended Abstracts of the 2020 Annual Symposium on Computer-Human Interaction in Playen
dc.relation.ispartofseries7th ACM SIGCHI Annual Symposium on Computer-Human Interaction in Play, CHI PLAY 2020en
dc.relation.ispartofseriesCHI PLAY 2020 - Extended Abstracts of the 2020 Annual Symposium on Computer-Human Interaction in Playen
dc.rightsPublisher Copyright: © 2020 ACM.en
dc.subjectGame reviewsen
dc.subjectNatural language processingen
dc.subjectNlpen
dc.subjectQualitative analysisen
dc.subjectSteamen
dc.subjectText miningen
dc.subjectVideo gamesen
dc.titleThe wisdom of the gaming crowden
dc.typeConference paperen
dspace.entity.typePublicationen
local.bibliographicCitation.lastpage276en
local.bibliographicCitation.startpage272en
local.contributor.affiliationJeffrey, Robert; School of Computing, ANU College of Systems and Society, The Australian National Universityen
local.contributor.affiliationBian, Pengze; School of Computing, ANU College of Systems and Society, The Australian National Universityen
local.contributor.affiliationJi, Fan; Australian National Universityen
local.contributor.affiliationSweetser, Penny; School of Computing, ANU College of Systems and Society, The Australian National Universityen
local.identifier.ariespublicationu6662439xPUB23en
local.identifier.doi10.1145/3383668.3419915en
local.identifier.puredc9de09e-9ca2-46ce-a8d2-422018a17a87en
local.identifier.urlhttps://www.scopus.com/pages/publications/85096772084en
local.type.statusPublisheden

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