Social media has become highly popular in recent years that people are expressing their views, thoughts about any product, movie through reviews. Reviews are having a great influence on people and decisions made by them. This has led researchers and market analyzers to analyze the opinions of users in reviews and model their preferences. Sometimes reviews are also scored in terms of satisfactio...

Prior research involving customer reviews focuses on individual consumers and/or specific products. By contrast, use-centric mining aggregates over all reviews for all products in a category. Specifically, we induce a category-specific ontology from reviews and use that ontology to automatically extract product features and uses. We then use frequent-item sets to match product uses with product...

It is a common practice that merchants selling products on the Web ask their customers to review the products and 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 of reviews can be in hundreds. This makes it difficult for a potential customer to read them in order to make...

Our paper contributes to the literature recommending approaches to make online reviews more credible and representative. We analyze data from four diverse major online retailers and find that verified customers who are prompted (by an email) to write a review, submit, on average, up to 0.5 star higher ratings than self-motivated web reviewers. Moreover, these email-prompted reviews remain stabl...

Today E-commerce popularity has made web an excellent source of gathering customer reviews/opinions about a product that they have purchased. The number of customer reviews that a product receives is growing at a very fast rate. Opinion mining from product reviews, forum posts and blogs is an important research topic today with many applications. Customers use the reviews for deciding quality o...

Technological advances in the digital space have provided renewed impetus to businesses. Costly, labor-intensive marketing campaigns been replaced by marketing. However, along with benefits, increasing sophistication and exponential growth of e-commerce businesses also introduced new challenges. The large number similar product offerings high volume reviews created a technology-induced hurdle f...

Yelp aims to help people find great local businesses, e.g. restaurants. Automated software is currently used to recommend the most helpful and reliable reviews for the Yelp community, based on various measures of quality, reliability, and activity. However, this is not tailored to each customer. Our goal in this project is to apply machine learning to predict a customer’s star rating of a resta...

Over the years, cybercriminals increasingly joined the underground economy to exchange malicious services for conducting data breaches crimes. As many service providers are rippers, most cybercriminals rely on a few high quality services. To this end, cybercriminals post customer reviews evaluating the purchase experience and the service quality. To identify high quality services, researchers f...

Text is the main method of communicating information in the digital age. Messages, blogs, news articles, reviews, and opinionated information abounds on the Internet. People commonly purchase products online and post their opinions about purchased items. This feedback is displayed publicly to assist others with their purchasing decisions, creating the need for a mechanism with which to extract ...