Posting of online reviews play a dominant role in sharing the customer's opinion in social Medias.But the challenge is how to trust these reviews.Many researchers carried their work on sentimental analysis, predictions or forecasting but very few focused on fake reviews analysis.Fake reviews also change the mood of the people on their buying pattern.In the online shopping at a greater extent.In this paper, several conditions are applied on the reviews to identify fake reviews using support vector machines.Experimental results are validated using various accuracy measures and compared to state of the art methods to demonstrate the efficacy of the proposed method.
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Institutions et al. (2019) studied this question.
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