Data mining of restaurant review using WEKA

Many customers visit a restaurant based on food critics and reviews on websites such as Zomato.com. Restaurant strive at the initial stages of opening but their demand deteriorates after the initial hype. Further business for these restaurants are largely based on their reviews. What can the restaurant do to make their ratings better? Food taste is an obvious trigger to improve the ratings of a restaurant, but there are other factors that improve the ratings of a restaurant. Such as inclusion of cuisine, option for home delivery, presence of table etc. This paper aims a creating a prediction model for the reviews and analyze the trigger event that would improve the ratings.