For consumers, online product reviews have become an important source for product-related information. Furthermore, they represent a beneficial addition to online retailers’ websites. Due to the increasing amount of available product reviews, identifying the most helpful product reviews represents an important task in order to reduce information overload. Therefore, the factors influencing revi...

A large amount of studies on online review has been conducted, most of which are based on studying English-speaking reviewers. However, it is unclear whether customers who speak other languages, such as Finnish, German and Japanese, would exhibit similar preference in defining the helpfulness of online review or not? There is a lack of knowledge on how different cultural backgrounds affect user...

Online consumer reviews can help customers decrease uncertainty and risk faced in online shopping. However, information overload and conflicting comments in online reviews can get consumers confused. Therefore, it is important for both researchers and practitioners to understand the characteristics of helpful reviews. But studies examining the determinants of perceived review helpfulness produc...

Online reviews have received much attention recently in the literature, as their visibility has been proven to play an important role during the purchase process. Furthermore, recent theoretical insight argue that the votes casted on how helpful an online review is (review helpfulness) are of particular importance, since they constitute a focal point for examining consumer decision making durin...

Customer reviews from commerce websites have valuable information for online shoppers. They help shoppers gauge whether or not a product is worth the purchase. However, reviews vary in their quality and helpfulness. Most commerce websites have voting systems where shoppers can vote on whether a review was helpful to them or not. For popular products however, the number of reviews can be in the ...

Reviews on amazon are ranked by how helpful they are rated by users in an effort to quickly summarize the opinions of a product for potential buyers. This project aims to explore what factors affect a review’s helpfulness by building a classification model on the Amazon movie reviews data set. The model performs well with accuracies over 85% and it is found that a review’s writing style, produc...

User-supplied reviews are widely and increasingly used to enhance ecommerce and other websites. Because reviews can be numerous and varying in quality, it is important to assess how helpful each review is. While review helpfulness is currently assessed manually, in this paper we consider the task of automatically assessing it. Experiments using SVM regression on a variety of features over Amazo...

Online reviews have become essential aspect in E-commerce platforms due to its role for assisting customers’ buying choices. Furthermore, the most helpful reviews that have some attributes are support customers buying decision; therefore, there is needs for investigating what are the attributes that increase the Review Helpfulness (RH). This research paper proposed novel model called inclusive ...