E-commerce business become successful by offering people convenient online experience as well as providing tens of thousands of crowd-sourced reviews that are written by customers and users about their experiences and opinions regarding the products or the services they paid for. For an online shopping website, such as Amazon.com, it is very important to recommend high-quality product reviews to the website users because customers make decisions based on what they read from the reviews. However, there are simply way too many reviews out there, and it would be a dreadful task for anyone to read them all. In this paper, we try to build a logistic regression model that can than predict helpfulness of reviews.Master of Science in Information Scienc
