Published Paper Details:

Everyone wants the best from the restaurants like food, ambiance, service, food price, etc. To know about the best restaurant, people have to spend time on it, and they have to read all the data on the internet to avoid this problem our system helps to know which restaurant is best by predicting all the positive and negative reviews from the restaurant customers. The existing solution was that for restaurant reviews most of the machine learning algorithms will take only numerical data that was for example of rating 1-5 where the people should understand one as poor two rating as worst 3 rating as average and four rating as good 5 rating as best but with this customer who are viewing the reviews have to analyse the things around that. In the proposed solution it will calculate an overall rating for the collected text reviews, by using optimal algorithms, so that the people will get an idea of which restaurants suit them. Based on their satisfaction levels the customers will give ratings for the restaurants, and this can be done by Natural Language Processing Techniques.