Price prediction of e-commerce products through Internet sentiment analysis-Reference-Cited by-同舟云学术

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Price prediction of e-commerce products through Internet sentiment analysis

Published:2017-10-12 Issue:1 Volume:18 Page:65-88
ISSN:1389-5753
Container-title:Electronic Commerce Research
language:en
Short-container-title:Electron Commer Res

Author:

Tseng Kuo-Kun,Lin Regina Fang-Ying,Zhou Hongfu,Kurniajaya Kevin Jati,Li Qianyu

Publisher

Springer Science and Business Media LLC

Subject

Human-Computer Interaction,Economics, Econometrics and Finance (miscellaneous)

Link

http://link.springer.com/article/10.1007/s10660-017-9272-9/fulltext.html

Reference32 articles.

1. Li, Z., & Li, Z. (2011). 2020 Internet data will be 44 times the current. Information System Engineering, 6, 11.

2. Lagarto, J., De Sousa, J., Martins, A., & Ferrão, P. (2012). Price forecasting in the day-ahead Iberian electricity market using a conjectural variations ARIMA model. In 2012 9th International conference on the European Energy Market (EEM) (pp. 1–7). IEEE.

3. Hsu, C. C., & Chen, C. Y. (2003). Applications of improved grey prediction model for power demand forecasting. Energy Conversion and Management, 44(02), 2241–2249.

4. González, A. M., Roque, A. M. S., & García-González, J. (2005). Modeling and forecasting electricity prices with input/output hidden Markov models. IEEE Transactions on Power Systems, 20(1), 13–24.

5. Yousefi, S., Weinreich, I., & Reinarz, D. (2005). Wavelet-based prediction of oil prices. Chaos, Solitons and Fractals, 25(2), 265–275.

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