We consider the problem of 1 identifying product features and opinion words in a unified process from Chinese customer reviews when only a much small seed set of opinion words is available. In particular, we consider a problem setting motivated by the task of identifying product features with opinion words and learning opinion words through features alternately and iteratively. In customer revi...

We examine the problem of ranking different aspects of a product through examination of its customer reviews. For instance, a restaurant review may contain distinct and possibly differing opinions on the food, decor, service, and price. We present a ranking system that uses Latent Dirichlet Allocation (LDA) and a database of opinion-oriented words to predict the aspect-specific sentiment of ind...

Rapid evolution in technology and the internet brought us to the era of online services. E-commerce is nothing but trading goods or services online. Many customers share their good or bad opinions about products or services online nowadays. These opinions become a part of the decision-making process of consumer and make an impact on the business model of the provider. Also, understanding and co...

Today World Wide Web is an brilliant source for gathering consumer, customer opinions there is an tremendous growth in user generated contents in the form of customer reviews on the Web containing precious information useful for both customers and manufacturers. Today there are various Web sites containing such opinions, e.g., consumer reviews of products, forums and blogs. However, lots of stu...

This research was conducted in response to the gap between some previous by Auliya (2019), which stated that online customer reviews did not have significant effects on reuse intention. Meanwhile, Alalwan (2020) Hariguna & Ruangkanjanases found different results; namely, had a effect Therefore, this objective determine of and experiences intention through satisfaction. The population consis...

Customer trust is the important case which is needed by company where this behaviour will determine to customer buying interest, especially for organic products that have different characteristic from common products. Actually, this product has not developed rapidly in Indonesia. Reviews from those phenomenon, so it is conducted the research on mediating impact of retail image as organic produc...

Opinion mining or sentiment analysis is the task of mining polarity of opinions which comprises of the area such as natural language processing, data mining. As Eshops grow at rapidly increasing rates, customers on web write product reviews. These product reviews are useful for a customer in his decision making process on whether to purchase the product. Thousands or Hundreds of reviews may app...

This paper investigates how bidders in an auction become antagonized over their successful bid. Using data from a large-scale sales campaign on eBay shows that buyers use the platform's feedback system to punish seller when they discover same item is later offered for lower fixed price. Specifically, it finds (i) probability of receiving unfavorable four times larger than sold by price and (ii)...

Customer churn prediction is one of the most important problems in customer relationship management (CRM). Its aim is to retain valuable customers to maximize the profit of a company. To predict whether a customer will be a churner or non-churner, there are a number of data mining techniques applied for churn prediction, such as artificial neural networks, decision trees, and support vector mac...