Often, there are suspicious Amazon reviews that seem to be excessively positive or have been created through a repeating algorithm. I moved to detect fake reviews on Amazon through semantic analysis in conjunction with meta data such as time, word choice, and the user who posted. I first came up with several instances that may indicate a review isn't genuine and constructed what the algorithm would look like. Then I coded the algorithm and tested the accuracy of it using statistical analysis and analyzed it based on the six qualities of code.
Cite
@article{arxiv.2009.09102,
title = {Amazon Fake Reviews},
author = {Seung Ah Choi},
journal= {arXiv preprint arXiv:2009.09102},
year = {2020}
}