Using User Created Game Reviews for Sentiment Analysis: A Method for Researching User Attitudes
نویسندگان
چکیده
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. Author
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