Abstract
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.
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Hwang, M., Yeom, Hn., Hwang, MN., Jung, H., Kim, H.J. (2015). Application of SNS for a Satisfaction Analysis of School Meals. In: Park, J., Stojmenovic, I., Jeong, H., Yi, G. (eds) Computer Science and its Applications. Lecture Notes in Electrical Engineering, vol 330. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45402-2_157
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DOI: https://doi.org/10.1007/978-3-662-45402-2_157
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-662-45401-5
Online ISBN: 978-3-662-45402-2
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