Nowadays global market products are readily accessible worldwide, and a vast array of
reviews across numerous platforms are posted daily in several categories, making it …

Online product reviews help consumers make purchase decisions when shopping online.
As such, many computational models have been constructed to automatically evaluate the …

The majority of businesses have made public appearances on various social media
platforms as a result of recent advances in e-commerce and the popularity of social media …

Recent years have seen a rapidly growing number of online reviews of products. As a result,
it is often not possible for customers to go through each review before making purchase …

Helpful reviews are essential for e-commerce and review websites, as they can help
customers make quick purchase decisions and merchants to increase profits. Due to a great …

The review's helpfulness and its impact on purchase decisions are well established. This
study presents a robust helpfulness prediction model for customer reviews. To this end …

Online product reviews (OPR) are a commonly used medium for consumers to communicate
their experiences with products during online shopping. Previous studies have investigated …

Major corporations utilize data from online platforms to make user product or service
recommendations. Companies like Netflix, Amazon, Yelp, and Spotify rely on purchasing …

Product reviews are one of the most important types of user-generated contents that are
becoming more and more available. These reviews are valuable sources of knowledge for …

Review helpfulness prediction has attracted growing attention of researchers that proposed
various solutions using Machine Learning (ML) techniques. Most of the studies used online …