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In this paper we present an automatic review generator system which can generate personalized reviews based on the user identity, product identity and designated rating the user wishes to allot to the review. We combine this with a sentiment analysis system which performs the complimentary task of assigning ratings to reviews based purely on the textual content of the review. We introduce an additional loss term to ensure cyclic consistency of the sentiment rating of the generated review withdoi:10.18653/v1/w18-6552 dblp:conf/inlg/SharmaSBP18 fatcat:lzzsloil5nghje7zcsurweivuu