State of the art in opinion mining mainly focuses on positive and negative sentiment summarisation of online customer reviews. We observe that reviewers tend to provide advice, recommendations and tips to the fellow customers on a variety of points of interest. In this work, we target the automatic detection of suggestion expressing sentences in customer reviews. This is a novel problem, and th...

Online customer reviews represent an important source of aggregate product information. Today, these reviews compete for customer attention with the vast amount of other information presented on ecommerce websites, including product characteristics, alternative products, and context-based advertisements, among others. When customers’ ability to process this information is overloaded, valuable i...

Customer reviews are increasingly available online for a wide range of products and services. They supplement other information provided by electronic storefronts such as product descriptions, reviews from experts, and personalized advice generated by automated recommendation systems. While researchers have demonstrated the benefits of the presence of customer reviews to an online retailer, a l...

With the rapid growth and dissemination of mobile services, enhancement of customer satisfaction has emerged as a core issue. Customer reviews are recognized as fruitful information sources for monitoring and enhancing customer satisfaction levels, particularly as they convey the real voices of actual customers expressing relatively unambiguous opinions. As a methodological means of customer re...

Opinion extraction about products from customer reviews is becoming an interesting area of research. Customer reviews about products are nowadays available from blogs and review sites. Also tools are being developed for extraction of opinion from these reviews to help the user as well merchants to track the most suitable choice of product. Therefore efficient method and techniques are needed to...

Based on the review data of the Amazon,our research discuss that the effect of language style matching of a review and the whole reviews on perceived customer review helpfulness and the moderating effect of product type and product brand to the relationship between language style matching of a review and the whole reviews and perceived customer review helpfulness. Our study found:For experience...

Customer reviews contain opinions of the customers who purchased products and expressed opinions concerning their satisfactions and criticisms. Due to vast availability of product reviews in the web, it is extremely time-consuming and at times confusing for a new customer to manually analyze the reviews prior to buying a product. Reviews generally involve the presence of product feature specifi...

The world of E-commerce is expanding, posing a large arena of products, their descriptions, customer and professional reviews that are pertinent to them. Most of the product attribute extraction techniques in literature work on structured descriptions using several text analysis tools. However, attributes in these descriptions are limited compared to those in customer reviews of a product, wher...