Detecção e classificação de revisões de produtos em ambientes ruidosos

Abstract

Eletronic commerce, which has retailers of the most variable sizes, is one of the most profitable segments of the web. Every day, a large number of users buys products through those websites, in a process that, not rarely, begins with a search for product information. The product reviews available at online stores are tools thathelpthisprocessbyprovidingotherusersimpressionsaboutaproduct,without demanding any effort from the user for him to get more information. This tool, however, have some limitations, among them, the amount of reviews available and the difficulty to obtain them. Therefore, in this work, we present a method that, using a external database of documents, can be utilized to find and show reviews in the pages of the corresponding product. Our experiments show that our proposal is a practicable alternative to improve the user experience in eletronic commerce websites.