A Wealth of Data

  • Lei Xu School of Institute of Information Technology of Guet
  • Zekun Li School of Institute of Information Technology of Guet
Article ID: 2122
66 Views, 10 PDF Downloads
DOI: https://doi.org/10.18282/l-e.v10i1.2122
Keywords: Correlation analysis, Multiple regression linear model, Time series analysis

Abstract

According to the demand of Amazon online marketplace, we screened the data for completeness and redundancy. The star-rating and review-number were selected as independent variables, and helpful-votes was the dependent variable. Then we analyze the sentiment index of all comments through NLP, and use SPSS to analyze the time series after standardized processing.

References

[1] Chatterjee P. Online Reviews: Do Consumers Use Them? Advances in Consumer Research[J],2011,28(5).

[2] Mudambi S M, Schuff D. What Makes A Helpful Online Review? A Study of Customer Reviews on Amazon.Com [J]. MIS Quarterly, 2010,34(1).

[3] Forman C, Ghose A, Wiesenfeld B. Examining. The Relationship Between Reviews And Sales: The Role of Reviewer Identity Disclosure in Electronic Markets [J]. Information System Research, 2008,19(3).

[4] Yin Guopeng. What kind of online reviews do consumers think are more useful? —— The effect of social factors [J]. Management World, 2012, (12).

[5] Wang Junkui. Research on the Usefulness of E-commerce Website Online Reviews[J]. Xi dian University,2014,3.

[6] Tan Yunzhi, Zhang Min, Liu Yiqun, Ma Shaoping. Collaborative Recommendation Framework Based on Ratings and Textual Reviews [J]. Pattern recognition and artificial intelligence, 2016-29(4).

[7] Li Huiying. Online reviews of consumer perceptions and business product sales affect research [J]. Harbin Institute of Technology,2013,7.

Published
2021-07-19
How to Cite
Xu, L., & Li, Z. (2021). A Wealth of Data. Learning & Education, 10(1), １７－１９. https://doi.org/10.18282/l-e.v10i1.2122
Issue
Vol. 10 No. 1 (2021)

Authors contributing to this journal agree to publish their articles under the Creative Commons Attribution-Noncommercial 4.0 International License, allowing third parties to share their work (copy, distribute, transmit) and to adapt it, under the condition that the authors are given credit, that the work is not used for commercial purposes, and that in the event of reuse or distribution, the terms of this license are made clear. With this license, the authors hold the copyright without restrictions and are allowed to retain publishing rights without restrictions as long as this journal is the original publisher of the articles.