A Study of Tree Based Machine Learning Techniques for Restaurant Reviews

Abstract

Online reviews have become the easiest way to share one's experience with others, be it regarding a product brought or any kind of service availed. As reviews are the eminent factors that enhances the best services to the customers. Zomato has become the most popular application in India for ordering food online or checking about the reviews of a restaurant. Our research includes classifying restaurants into several classes based on their service parameters. Popular machine learning algorithms like Decision Tree and Random Forest were applied over a dataset of over 8500 records. The results have proved that the Decision Tree Classifier is more effective with 63.5% of accuracy than Random Forest whose accuracy is merely 56%.