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Fact or Factitious? Contextualized Opinion Spam Detection

29 October 2020
Stefan Kennedy
Niall Walsh
K. Sloka
Jennifer Foster
A. Mccarren
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Abstract

In this paper we perform an analytic comparison of a number of techniques used to detect fake and deceptive online reviews. We apply a number machine learning approaches found to be effective, and introduce our own approach by fine-tuning state of the art contextualised embeddings. The results we obtain show the potential of contextualised embeddings for fake review detection, and lay the groundwork for future research in this area.

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