Identification of Proper Restaurant Place : By Extracting Customer Reviews
Vikas Kumar Shukla, Soumya Bajpai, Sachin Bhoite · Zenodo (CERN European Organization for Nuclear Research) · 2021
Now a days ordering food online by using different application is normal for us . Some of the popular names of the apps are as ZOMATO, SWIGGY , UBER EATS etc. Many customers' visits a restaurant based on reviews given by the customer or user in different apps. The growth of restaurants and hotel is mainly based on the reviews provided by the customers. India is quite famous for its diverse multi cuisine available in a large number of restaurants and hotels. In this paper we will , collect data from a online application and check in which area peoples are more attached to a particular type of cuisine. So, this paper focuses on analysing the Zomato restaurant data for a city in India to predict the place for new restaurant by using various supervised Machine Learning algorithms based on existing data. And build predictive model with best accuracy.