Abstract
Based on the current situation of the market, this paper obtains related data of online user reviews on Meituan the online food delivery platform by soft wares and implements preprocessing and mining by language correlation function, and finally draws a conclusion that judging from the mining results of the featured words and the emotions in the reviews, the Meituan platform and its food delivery service have been evaluated by users as being cheap, economical, convenient and fast, and the key elements that users concern regarding to the merchant rating are the merchant’s attitude, the delivery man’s attitude, the food taste and the food security respectively.
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© 2020 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Wang, Yj., Yu, Gh., Sun, Ln., Liu, Pg. (2020). Text Mining and Analysis of Meituan User Review Text. In: Jiang, X., Li, P. (eds) Green Energy and Networking. GreeNets 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 333. Springer, Cham. https://doi.org/10.1007/978-3-030-62483-5_16
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DOI: https://doi.org/10.1007/978-3-030-62483-5_16
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