Three Machine Learning models - Logistic Regression, Support Vector Machines and Neural Networks were compared for sentiment analysis using two feature development models: First a bag of word Model was used, then a Word Embedding Model (Glove representation). The idea was to be able to determine whether a review was good or bad from the sentence structure for each review.