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Customer reviews are an important feature on Amazon’s vast array of products. Many customers rely heavily on the honest reviews of past users during purchasing decisions. Currently, the only way to regulate the quality of these reviews is for other users to voluntarily thumbs up/down a review as ‘helpful’ or ‘not helpful’. It is in the best interest of Amazon (and potential customers) to be shown the most helpful reviews first and de-prioritize (or flag) useless reviews. Thus, we wanted to try and create a model that could successfully predict whether or not customers would find user product reviews helpful. With such a model, Amazon would be able to better prioritize user reviews displayed on product pages from the moment a review is posted.