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Student Technical Paper
Technical Paper
:
Should I Invest it? Predicting Future Success of Yelp Restaurants
Event Type
Student Technical Paper
Technical Paper
VisDataAnalytics Tags
VisDataAnalytics
DataAnalytics
Technical Paper Tags
Technical Paper
Student Technical Paper
TimeTuesday, July 242:45pm - 3pm
DescriptionOnline customer reviews are becoming more and more important in helping the consumer make decisions. Therefore, it is also interesting to see whether consumer reviews can be used to predict future business success. In this paper, using yelp dataset from 2016, we aimed to predict if the restaurant will still open till 2017. We focused on multi-level feature selection and analyzed features that influence the most for the future success of the restaurant. We heavily relied on Longleaf computer cluster and Google Cloud Platform for data processing and analytics. The balanced accuracy is 67.46%. The result shows that text features do not have significant indications for future success, while non-text features, especially business features, do have strong correlation with future restaurant performance. Furthermore, we did error analysis on insignificant features and give potential improvements.