The Prediction of Yelp Star Ratings Using Yelp Reviews (eBook, PDF) - Lunkad, Kartik
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Essay from the year 2015 in the subject Business economics - Offline Marketing and Online Marketing, grade: 4.00/4.00, Carnegie Mellon University (Carnegie Mellon University), course: Applied Machine Learning, language: English, abstract: Yelp provides two main ways for users to review the businesses – reviews and stars. Traditionally, businesses have focused on their rating to assess whether users like their service or not. But reviews contain huge amounts of critical data for the businesses which they can take advantage of. Also, Yelp ratings at times do not accurately represent the actual…mehr

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Essay from the year 2015 in the subject Business economics - Offline Marketing and Online Marketing, grade: 4.00/4.00, Carnegie Mellon University (Carnegie Mellon University), course: Applied Machine Learning, language: English, abstract: Yelp provides two main ways for users to review the businesses – reviews and stars. Traditionally, businesses have focused on their rating to assess whether users like their service or not. But reviews contain huge amounts of critical data for the businesses which they can take advantage of. Also, Yelp ratings at times do not accurately represent the actual rating a restaurant deserves. In this paper, I explore how reviews can be used to predict the rating of a business using different machine learning algorithms. I have compared performances of Naive Bayes, SVM and Logistic Regression to identify the best among them.