Price prediction of e-commerce products through Internet sentiment analysis

Kuo-Kun Tseng, Regina Fang-Ying Lin (), Hongfu Zhou, Kevin Jati Kurniajaya and Qianyu Li
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Kuo-Kun Tseng: Harbin Institute of Technology, Shenzhen Graduate School
Regina Fang-Ying Lin: Harbin Institute of Technology, Shenzhen Graduate School
Hongfu Zhou: Harbin Institute of Technology, Shenzhen Graduate School
Kevin Jati Kurniajaya: Harbin Institute of Technology, Shenzhen Graduate School
Qianyu Li: Harbin Institute of Technology, Shenzhen Graduate School

Electronic Commerce Research, 2018, vol. 18, issue 1, No 4, 65-88

Abstract: Abstract With the rapid development of the Internet and data-processing technologies, Internet sentiment analysis can be used to explore many possibilities, from Internet news about products or the influence of product price to the influence of sale behaviour and important brand strategies. In this paper, we analyse news affecting the price of products, and establish a new model for price prediction. The results show that significant news events have an impact on the sale prices of electronic products, and can improve the accuracy of price forecasts. Thus, the contribution of this paper is to propose a new forecasting model for the price of e-commerce products.

Keywords: Keywords; Prediction; Forcasting; E-commerce; Sentiment analysis (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (6)

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DOI: 10.1007/s10660-017-9272-9

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