Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/2159
Title: A study of tree based machine learning techniques for restaurant reviews
Authors: Shina
Sharma S
Singla A.
Keywords: Decision tree
Machine learning
Online reviews
Random forest
Zomato
Issue Date: 2018
Publisher: Institute of Electrical and Electronics Engineers Inc.
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%. � 2018 IEEE.
URI: 10.1109/CCAA.2018.8777649
http://hdl.handle.net/123456789/2159
Appears in Collections:Conferences

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