  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.
