Based on dataset containing customer reviews of products sold on amazon.com from 1995 until 2015. Using NLP for Sentiment Analysis predict how fake or real a review is. Finally, a comparision between Decision Tree Classifier, Random Forest Classifier and Support Vector Machine on the model for thier accuracy in predicting the review. Achieved best accuracy using Support Vector Machine of 89.5%