Abstract
Sharing bicycle, as one of the hottest and newest industries in recent years, has drawn much dramatic attention from society. In the operation management course in this paper, students are expected to analyze the interview texts and investigate the problems occurred in sharing bicycle with corresponding suggestions. A list of interview texts from sharing bicycle users in Guangzhou Higher Education Mega Center are collected and analyzed. TF-IDF, as a widely used text mining method, is applied to extract frequently used key words for a qualitative analysis. Finally, ten key problems are identified and summarized, which provide government suggestions about supervision, such as user-centered management, user experience improvement, user interest protection, and deposit management.
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Acknowledgements
This paper is supported by the science and technology plan of Guangzhou (No. 201804010296) and Natural Science Foundation of Guangdong Province, China. (No. 2018A030310051).
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Qu, Y., Liang, Z., Xie, W., Cao, X. (2020). A Text Mining Application in Operation Management Course Teaching. In: Popescu, E., Hao, T., Hsu, TC., Xie, H., Temperini, M., Chen, W. (eds) Emerging Technologies for Education. SETE 2019. Lecture Notes in Computer Science(), vol 11984. Springer, Cham. https://doi.org/10.1007/978-3-030-38778-5_28
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