This paper reports on our participation in SemEval-2015 Task 12, which was devoted to Aspect-Based Sentiment Analysis. Partic-ipants were required to identify the category (entity and attribute), the opinion target, and the polarity of customer reviews. The system we built relies on classification

Online retailers have associated the introduction of user-generated product reviews with increased customer sales and decreased product returns. For all of the perceived value conveyed by customer reviews, however, little effort has been directed towards leveraging user-generated content beyond a

Merchants selling products on the Web often ask their customers to review the products that they have purchased and the associated services. As e-commerce is becoming more and more popular, the number of customer reviews that a product receives grows rapidly. For a popular product, the number

marketing plan. Knowledge-sharing sites, where customers review products and advise each other, are a fertile source for this type of data mining. In this paper we extend our previous techniques, achieving a large reduction in computational cost, and apply them to data from a knowledge-sharing site. We

Abstract—As e-commerce is gaining popularity day by day, the web has become an excellent source for gathering customer reviews / opinions by the market researchers. The number of customer reviews that a product receives is growing at very fast rate (It could be in hundreds or thousands). Customer

descriptions. On the other hand, customer reviews, particularly the text describing the features, comparisons and experiences of using a particular product provide a rich source of information to compare products and make purchasing decisions. Online retailers like Amazon.com 1 allow customers to add reviews

This manual provides guidelines for categorizing comments in online customer reviews as either a qualified claim or a bald claim. These guidelines were used to annotate a dataset of amazon product reviews 1. 1

Abstract: The customer’s reviews and opinion mining become one of the wealthily areas in data mining. Nowadays, as the vast developments of using web applications and spreading of sites that provides a good platform for the customers to express their opinions directly on online shopping

time he applied for customer satisfaction and encourage to invest, they should be in the legal framework. Today, in the modern communities, the economy has significant improvements as banks and banking and benefit from the economic policies of the West, need to be familiar with and is very important

in reviews and model their preferences. Sometimes reviews are also scored in terms of satisfaction score on any product or movie by customer (ratings). These ratings usually vary on a scale from one to five (stars) or very bad to excellent. In this paper we address the problem of attributing a numerical