Abstract
This paper analyzes the content of texts through a Text Mining classification model for the particular case of the Tweets made about the Miniso brand in Mexico during the period from November 17 to 24, 2018. The analysis involves the extraction of the data, the cleaning of the text and supervised support models for high-dimensional data, obtaining as a result the classification of the tweets in the topics: Positive, Negative, Advertising or Requirements of new Branches. As well as the use of resampling techniques to measure the variability of the performance of the model and to improve the accuracy of the parameters. This practice allows to reduce time spent reading texts, especially in Social Networks, finding faster and more efficient trends that help decision-making and respond quickly to customer demand.
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References
Kumar, A., Paul, A.: Mastering Text Mining with R. Packt Publishing, Birmingham (2016)
Gordillo, J.D.M.: Primer Taller de Análisis de Sentimiento en Twitter con R. de Youtube Sitio web (2016). https://www.youtube.com/watch?v=nOIZnYLlPBo
Openminted Communications. ¿Qué es la minería de textos, cómo funciona y por qué es útil? de Universo Abierto Sitio web (2018). https://universoabierto.org/2018/02/22/que-es-la-mineria-de-textos-como-funciona-y-por-que-es-util/
José Roberto Arteaga. La estrategia de Miniso que cautivó a los consumidores mexicanos, de Alto Nivel Sitio web (2018). https://www.altonivel.com.mx/empresas/estrategia-miniso-consumidores-mexicanos/
Mundotkm. ¡Tiembla, Miniso! Llegó nueva tienda oriental a la CDMX y todos quieren ir,de Mundotkm Sitio web (2018). https://www.mundotkm.com/mx/actualidad/266375/tiembla-miniso-llego-nueva-tienda-oriental-a-la-cdmx-todos-quieren-ir
Mariana García. Yoyoso: más que un estilo de vida. 2018, de Roastbrief Sitio web (2018). https://www.roastbrief.com.mx/2018/09/yoyoso-mas-que-un-estilo-de-vida/
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Gonzalez, R.A., Rodriguez-Aguilar, R., Marmolejo-Saucedo, J.A. (2020). Text Mining and Statistical Learning for the Analysis of the Voice of the Customer. In: Hemanth, D., Kose, U. (eds) Artificial Intelligence and Applied Mathematics in Engineering Problems. ICAIAME 2019. Lecture Notes on Data Engineering and Communications Technologies, vol 43. Springer, Cham. https://doi.org/10.1007/978-3-030-36178-5_16
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DOI: https://doi.org/10.1007/978-3-030-36178-5_16
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