The active growth of Internet-based applications such as social networks and e-commerce
websites leads people to generate a tremendous amount of opinions and reviews about …

Contrastive learning (CL) is a popular learning paradigm in deep learning, which uses
contrastive principle to learn low-dimensional embeddings, and has been applied in Graph …

This study addresses the usage of different features to complement synset-based and bag-of-
words representations of texts in the context of using classical ML approaches for spam …

Over the past few years, online reviews have become very important, since they can
influence the purchase decision of consumers and the reputation of businesses. Therefore …

Out of commercial interests, merchants will hire professional writers to write good reviews for
their products or write bad reviews for competitors, which has a serious adverse impact on …

In the modern era, mobile phones have become ubiquitous, and Short Message Service
(SMS) has grown to become a multi-million-dollar service due to the widespread adoption of …

Fake reviews and reviewers pose a significant challenge for online review platforms as they
can mislead consumers and harm businesses' reputations. Traditional methods for detecting …

As videos gain increasing popularity on social media, misleading videos are becoming a
major challenge for the social media platforms. Though occasionally used in the …

Last mile delivery is one of the most complex processes in the whole logistics process. This
is because it involves many uncertainties, such as weather conditions, road conditions …

Over the last years, online reviews became very important since they can influence the
purchase decision of consumers and the reputation of businesses, therefore, the practice of …