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Erschienen in:
2015 | OriginalPaper | Buchkapitel
Application of SNS for a Satisfaction Analysis of School Meals
verfasst von : Myunggwon Hwang, Ha-neul Yeom, Mi-Nyeong Hwang, Hanmin Jung, Hyun Jung Kim
Erschienen in: Computer Science and its Applications
Verlag: Springer Berlin Heidelberg
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Data from Social Networking Services (SNS) are extensively used to convey the users’ sentiments (positive or negative) and detailed opinions on issues promptly. In this paper, we use SNS data to conduct the satisfaction analysis of a school meal. We analyze approximately 15 million tweets in order to investigate students’ satisfaction level with the meals. Moreover, we divide the school meals into three categories – vegetables, meats, and seafood – and determine the satisfaction level of each category along with reasons for it by using 14 criteria.