Date : 10/03/2019 (DD-MM-YYYY)
Author : G.S.C.Sirisha
Application : Restaurant Review Classification and Recommender System
Input : Review Data of restaurants to be compared in the form of a ".tsv" file,with reviews under "Review" column.
Working : Machine Learning model trained on a set of reviews for a restaurant is used to classify a review either as
positive or negative. Restaurant with higher percentage of positive reviews is recommended.
Output : Recommended Restaurant name taken at the time of input.
Scope of Improvement : Can be improved using large amount of data to train over a neural network.
Data : Restaurant_Reviews.rar