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Automatic Reply Generation for Restaurant Reviews

Author(s):

Mohit Agrawal , THAKUR COLLEGE OF ENGINEERING AND TECHNOLOGY; Vishal Shukla, THAKUR COLLEGE OF ENGINEERING AND TECHNOLOGY; Rohit Kulkarni, THAKUR COLLEGE OF ENGINEERING AND TECHNOLOGY

Keywords:

Restaurant Reviews

Abstract

Now a days Most of the people order food from restaurants by visiting them or buying different food ordering applications. Because of these there are tons of reviews related to foods and services of these restaurants are present on social networking website or food apps such as zomato, foodpanda etc. Analysing these reviews and classifying them can help the restaurants to improve their product and services. Reviews may contains positive as well as negative review. Restaurant owners also need to take time to respond these reviews. Typically a reply within 24 hours is acceptable business practice. Replying to each and every review within 24 hours is some time impossible for the restaurant owner. So to solve the above problem we are designing a system using the sentiment analysis that will analyse the review and respond to it. This will save the restaurant owners time, improve customer satisfaction and will attract more customers.

Other Details

Paper ID: IJSRDV7I20780
Published in: Volume : 7, Issue : 2
Publication Date: 01/05/2019
Page(s): 813-814

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