Identification of Proper Restaurant Place : By Extracting Customer Reviews

Authors

  • Vikas Shukla  School of Computer Science, Faculty of Science, MIT-WPU, Pune, Maharashtra, India
  • Soumya Bajpai  School of Computer Science, Faculty of Science, MIT-WPU, Pune, Maharashtra, India
  • Sachin Bhoite  Assistant Professor School of Computer Science, Faculty of Science, MIT-WPU, Pune, Maharashtra, India

Keywords:

Zomato, Science and Technology, Machine learning algorithms, accuracy.

Abstract

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.

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2021-03-13

Issue

Volume 8, Issue 2, March-April-2021

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Vikas Shukla, Soumya Bajpai, Sachin Bhoite, " Identification of Proper Restaurant Place : By Extracting Customer Reviews" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 8, Issue 2, pp.17-22, March-April-2021.