Identification of Product’s Features Based on Customer Reviews
Katarzyna Smietanka · Annals of Computer Science and Information Systems · 2016
In recent years an e-commerce has become more and more popular.This fact is mainly related to a low cost of running a business, wide access to a large group of potential customers and ease of advertising.Analysis of products' reviews can lead to valuable insights for both customers and manufacturers.Owing to positive reviews a future customer may be convinced to buy the product.A number of reviews for one product can amount to even hundreds what makes it hard for a potential buyer to read them all.The main aim of this paper is to present a method for mining reviews considering products' features, extracting products' features and preparing a summary of reviews.For that purpose a new promising technique-Rule-Based Similarity Model is used.The performance of the algorithm has been verified on online product review articles.