Online review helpfulness has always sparked a heated discussion among academics and
practitioners. Despite the fact that research has extensively examined the impacts of review …

To prevent the spread of COVID-19, the Korean government promoted strong social
distancing policies and restricted the use of confined areas and spaces that are likely to …

The increasing use of data-driven decision support systems in industry and governments is
accompanied by the discovery of a plethora of bias and unfairness issues in the outputs of …

We explore the problem of selectively forgetting categories from trained CNN classification
models in federated learning (FL). Given that the data used for training cannot be accessed …

In the process of online shopping, consumers usually compare the review information of the
same product in different e‐commerce platforms. The sentiment orientation of online reviews …

Predicting the impact of academic papers can help scholars quickly identify the high-quality
papers in the field. How to develop efficient predictive model for evaluating potential papers …

Purpose The increasingly booming e-commerce development has stimulated vehicle
consumers to express individual reviews through online forum. The purpose of this paper is …

The need for advanced automation and artificial intelligence (AI) in various fields, including
text classification, has dramatically increased in the last decade, leaving us critically …

The surge in cyber-hate crimes is largely fuelled by the popularization of social media
platforms. On that note, cyber-hate has become an increasing concern for most countries …

This research investigates the impact of the COVID-19 pandemic on consumers'
perspectives of beauty and individual cosmetic products. Since the first confirmed case of …