Business Analytics for Yelp Reviews using R

Abstract

Now-a-days online reviews plays a very important role before taking any decision about having a lunch or dinner at Restaurants or planning any trip. In this paper, we have investigated the dataset from Yelp.com. Yelp has become a very important site, particularly for small businesses who can achieve success or close down, based on their online reviews. We have summarized all the effects of reviews on the restaurants using sentiment mining and have provided with the statistical Insights. Our approach is to create a study on the business which yielded the worst and best ratings and determine the users who gave the worst and best ratings by using R software which is a statistical tool. The model has been created and the results for the same are obtained.