Abstract
Today, test marketing is often performed in order to perform marketing efficiently. The purpose of this study is to conduct test marketing of food more efficiently. We focus on the Innovation Theory and report on “food” from the study purpose. Matsuyama and Asahi are conducting similar study. Matsuyama and Asahi created a generalized model with a deep learning model to achieve a similar goal. In this study, logistic regression analysis is performed using the same objective variables and explanatory variables, and the results are compared with the Matsuyama and Asahi study results. In addition, in the analysis of Matsuyama and Asahi, they did not see the text information when posting the report. This time we analyzed this text information in addition to the logistic regression analysis. We searched the word which is likely to come to make reports easy to emphasize and hard to emphasize about the report. In this study, we used data from an SNS site called Minrepo, which may be applicable to other platforms.
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Matsuyama, Y., Asahi, Y. (2020). Consumer Analysis of High Sensitivity Layer. In: Yamamoto, S., Mori, H. (eds) Human Interface and the Management of Information. Designing Information. HCII 2020. Lecture Notes in Computer Science(), vol 12184. Springer, Cham. https://doi.org/10.1007/978-3-030-50020-7_16
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DOI: https://doi.org/10.1007/978-3-030-50020-7_16
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