No abstract

Consumer-created reviews of services are a critical driver of everyday decision-making. A service that has a higher average review or rating usually gets picked against a similar service with less favourable reviews. Customer feedbacks are useful for restaurants in order for them to recognize their strengths and weaknesses, and therefore generate ideas to enhance their services. Social media applications already provide us with an option of sharing our reviews which helps a new visitor to know the place in advance, but it is really hard to get a holistic view of the restaurant mainly due to the fact that almost anyone can submit a review regardless of whether they have actually visited the restaurant or not. Some mischievous people deliberately put-up misleading reviews about a particular restaurant due to which other people get a bad image of that restaurant, thus bringing down the business. This paper aims to address all these concerns specifically. The objective was to build an interface that would prevent malicious users uploading deceptive reviews about a restaurant. Two techniques namely Bill Number Concept and QR Code Concept were proposed to build the required interface. Sentiment Analysis was then used to convert these reviews into ratings. The interface created using the mentioned techniques enabled only verified users to submit their reviews thereby successfully preventing malicious users from submitting a review. Keywords: feedback, reviews, bill number, QR code, sentiment analysis