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arXiv · 2009.09102

Amazon Fake Reviews

Seung Ah Choi
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Abstract

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.

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Seung Ah Choi. 2020-09-18. Amazon Fake Reviews. https://arxiv.org/abs/2009.09102

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