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Using User Created Game Reviews for Sentiment Analysis: A Method for Researching User Attitudes
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
2017 (English)In: GHITALY 2017: Games-Human Interaction: Proceedings / [ed] Maria De Marsico, Laura Anna Ripamonti, Davide Gadia, Dario Maggiorini, Ilaria Mariani, CEUR-WS.org , 2017Conference paper, Published paper (Refereed)
Abstract [en]

This paper presents a method for gathering and evaluating user attitudes towards previously released video games. All user reviews from two video game franchise were collected. The most frequently mentioned words of the games were derived from this dataset through word frequency analysis. The words, called “aspects” were then further analyzed through a manual aspect based sentiment analysis. The final analysis show that the rating of user review to a high degree correlate with the sentiment of the aspect in question, if the data set is large enough. This knowledge is valuable for a developer who wishes to learn more about previous games success or failure factors.

Place, publisher, year, edition, pages
CEUR-WS.org , 2017.
Series
CEUR Workshop Proceedings, E-ISSN 1613-0073 ; 1956
Keyword [en]
Sentiment, sentiment analysis, user created content, reviews
National Category
Human Computer Interaction
Research subject
Man-Machine-Interaction (MMI)
Identifiers
URN: urn:nbn:se:su:diva-149278OAI: oai:DiVA.org:su-149278DiVA, id: diva2:1159994
Conference
1st Workshop on Games-Human Interaction (GHITALY 2017) co-located with CHItaly 2017, the 12th Edition of the biannual Conference of the Italian ACM SIGCHI Chapter, Cagliari, Italy, April 18th, 2017
Available from: 2017-11-24 Created: 2017-11-24 Last updated: 2018-01-13Bibliographically approved

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CiteExportLink to record
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Citation style
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