빅데이터와 감성 색 형용사를 기반한 게임어플리케이션 성향 분석
Game Application Tendency Analysis Based on Bigdata and Emotional color Adjective
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Big Data analysis utilizing a large volume of data for the purpose, as the data in the development of the Internet and computer applied technology increases exponentially has been utilized in many fields. In this paper, the applications of the App Store to download the game which has the rank relationships and emotional color adjectives aims to compare based on big data. In general, the game is a fun application elements are important, but the color of the components of the design and interfaces game is very relevant to higher gaming preferences of gamers. For this purpose through a digital operation on the main screen of the game application from the download priority is extracted emotional adjectives and positioning. Also collects SNS data, extracts the representative adjective to the emotional adjectives associated with the same game application using the K-means algorithm in the download priority among them, positioning a color emotion adjectives and comparison of production Mind and game user by this find out the relevance of your preference.
Abstract
Big Data analysis utilizing a large volume of data for the purpose, as the data in the development of the Internet and computer applied technology increases exponentially has been utilized in many fields. In this paper, the applications of the App Store to download the game which has the rank relationships and emotional color adjectives aims to compare based on big data. In general, the game is a fun application elements are important, but the color of the components of the design and interfaces game is very relevant to higher gaming preferences of gamers. For this purpose through a digital operation on the main screen of the game application from the download priority is extracted emotional adjectives and positioning. Also collects SNS data, extracts the representative adjective to the emotional adjectives associated with the same game application using the K-means algorithm in the download priority among them, positioning a color emotion adjectives and comparison of production Mind and game user by this find out the relevance of your preference.
참고문헌 (17)
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