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Analysis of Time and Features Based on Product Review

Yihan Shi, Yaner Yuan, Qingjing Zhang

Abstract


Nowadays, online shopping has become an indispensable part of the market, many e-commerce websites such as Amazon Market have launched multi-dimensional online review systems. Under such background, we build some models and analyze the significance of these online data for the future development of products. By analyzing data provided by Sunshine Company on customer ratings and reviews of microwave ovens, pacifiers and hair dryers, we establish models about product rating, review and time, perceive valid reviews from a large number of reviews, obtain important features of product design and its potential success, and make reasonable suggestions to promote the company create new online market products more effectively.

Keywords


Review perceived usefulness; Multiple linear regression model; Product design features; Time series ARMA model

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References


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DOI: http://dx.doi.org/10.18686/mmf.v5i3.3513

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