The problem of information overload in online review platforms has seriously hampered
many customers' ability to evaluate the quality of products or businesses when making …

This paper reviews and synthesizes existing research on online reviews, addresses the
knowledge gaps, and proposes directions for future research. Taking an interdisciplinary …

This paper is to explore data-driven models based on a newly developed natural language
processing (NLP) tool called Bidirectional Encoder Representations from Transformer …

The ways in which different components collectively influence review helpfulness is not well
understood in hospitality. This study shows how multiple review data modalities can be …

Online customer reviews have become a popular source of information that influences the
purchasing decisions of many prospective customers. However, the rapidly increasing …

Analyzing textual data by means of AI models has been recognized as highly relevant in
information systems research and practice, since a vast amount of data on eCommerce …

In recent years, e-commerce platforms have become popular and transformed the way
people buy and sell goods. People are rapidly adopting Internet shopping due to the …

Online reviews are important data for developing product/service improvement strategies.
Relevant studies treated different online reviews as equally important, and the validity of the …

Sentiment is currently one of the most emerging areas of research due to the large amount
of web content coming from social networking websites. Sentiment analysis is a crucial …

The increasing volume of online reviews and the use of review platforms leave tracks that
can be used to explore interesting patterns. It is in the primary interest of businesses to retain …