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Probing User Opinions in an Indirect Way: An Aspect Based Sentiment Analysis of Game Reviews
Stockholm Univ, Dept Comp & Syst Sci, DSV, Stockholm, Sweden.
Stockholm Univ, Dept Comp & Syst Sci, DSV, Stockholm, Sweden.
Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Arts, Department of Game Design.
2017 (English)In: PROCEEDINGS OF THE 21ST INTERNATIONAL ACADEMIC MINDTREK CONFERENCE (ACADEMIC MINDTREK), ASSOC COMPUTING MACHINERY , 2017, p. 1-7Conference paper, Published paper (Refereed)
Abstract [en]

This paper presents a method for gathering and evaluating user attitudes towards previously released video games. A three-part video game franchise was selected, and all user reviews of these games were collected. The most frequently mentioned words of the game 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 showed that the rating of user reviews to a high degree correlate with the sentiment of the aspect in question. This knowledge is valuable for a developer who wishes to learn more about previous games success or failure factors.

Place, publisher, year, edition, pages
ASSOC COMPUTING MACHINERY , 2017. p. 1-7
Series
AcademicMindtrek '17
Keywords [en]
User experience, user expectations, sentiment analysis
National Category
Human Computer Interaction
Identifiers
URN: urn:nbn:se:uu:diva-352936DOI: 10.1145/3131085.3131121ISI: 000426935300001ISBN: 978-1-4503-5426-4 (print)OAI: oai:DiVA.org:uu-352936DiVA, id: diva2:1216685
Conference
21St International Academic Mindtrek Conference (Mindtrek), Sep 20-21, 2017, Tampere, Finland.
Available from: 2018-06-12 Created: 2018-06-12 Last updated: 2018-06-12Bibliographically approved

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Warpefelt, Henrik

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