Amazon Platform Shopping Review Data Analysis

Authors

  • Xiaoqi Xue

DOI:

https://doi.org/10.54691/bcpbm.v25i.1691

Keywords:

LSTM, Neural Network, DID TF-IDF Sentiment Analysis

Abstract

This paper studies the development of three products on Amazon platform. This paper analyzes the text emotion of the comments on Amazon platform, quantifies the emotional score of each comment based on LSTM, selects relevant indicators of the comment data, establishes a comprehensive evaluation model of the comprehensive praise of the comment, and recommends the products with the greatest potential success for businesses based on the comment data.

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References

Jiaqing Liu, xi hai Guo, and yu Sun. Optical power prediction method based on double depth neural network. The Optical power prediction method is based on a double depth neural network, pages 1–9.

Bingjian Lu. Short-term wind speed prediction model based on eemd and lstm. (03):43–48,2020.

YueChen and Qingye He. Influencing factors of buyer evaluation decision: an empirical study based on taobao.com. 8(02):66–87, 2014.

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Published

2022-08-30

Issue

Vol. 25 (2022): 6th International Conference on Economics and Management, Education, Humanities and Social Sciences (EMEHSS 2022)

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

Xue, X. (2022). Amazon Platform Shopping Review Data Analysis. BCP Business & Management, 25, 27-35. https://doi.org/10.54691/bcpbm.v25i.1691
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