Warehouse Review Classification Using Naïve Bayes Classifier

Abstract

A customer review is a review of a product or service made by a customer who has purchased the product or service. Customer reviews are a form of customer feedback on electronic commerce and online shopping sites. In this study, a review of a warehouse by a customer who has booked a warehouse for storing their goods will be classified. By this classification a customer will come to know whether the warehouse is suitable for storing their goods or not as the proposed model will classify the reviews into positive and negative reviews.. This paper proposes an approach to perform subjectivity classification on feedback text based on a supervised machine learning algorithm, Naive Bayes. Experiment studies have been conducted on warehouse reviews. The results show that the performances of the proposed approach are comparable to those of the existing english subjectivity classification studies.