Journal of Digital Games Research
Online ISSN : 2434-4052
Print ISSN : 1882-0913
Estimating Evaluative Components of Games from Review Articles
: A Quantitative Analysis of Their Cluster Structure and Trend in Time Series
Takanori KAWASHIMA Hajime MURAIAkifumi TOKOSUMI
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JOURNAL FREE ACCESS

2010 Volume 4 Issue 1 Pages 69-80

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Abstract
A total of 884 articles published in an independent Japanese game review magazine from 1994 to 2006 were analyzed to estimate the evaluative components of the target games. The user experience is expressed descriptively in the review articles. After syntactic parsing of the whole article text, a co-occurrence analysis and a cluster analysis were used to determine its underlying conceptual structure. Among 15 clusters obtained, we identified two newly found evaluative components of games, “novelty” and “market,” that were highly interrelated to evaluative adjectives. Also, we analyzed trends of major descriptive contents of the review articles over the 10-year period using the clusters.
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© 2010 Digital Games Research Association Japan
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