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Price prediction of e-commerce products through Internet sentiment analysis

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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.

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Authors and Affiliations

  1. School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen Graduate School, Shenzhen, 518055, Guangdong, China

    Kuo-Kun Tseng, Hongfu Zhou, Kevin Jati Kurniajaya & Qianyu Li

  2. School of Economics and Management, Harbin Institute of Technology, Shenzhen Graduate School, Shenzhen, 518055, Guangdong, China

    Regina Fang-Ying Lin

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  1. Kuo-Kun Tseng
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  2. Regina Fang-Ying Lin
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  3. Hongfu Zhou
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  4. Kevin Jati Kurniajaya
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  5. Qianyu Li
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Correspondence to Regina Fang-Ying Lin.

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Tseng, KK., Lin, RY., Zhou, H. et al. Price prediction of e-commerce products through Internet sentiment analysis. Electron Commer Res 18, 65–88 (2018). https://doi.org/10.1007/s10660-017-9272-9

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