We cannot overemphasize the essence of contextual information in most natural language
processing (NLP) applications. The extraction of context yields significant improvements in …

Conversational agents (CAs) are software-based systems designed to interact with humans
using natural language and have attracted considerable research interest in recent years …

The growth of the Internet has led to massive availability of online consumer reviews. So far,
papers studying online reviews have mainly analysed how non-textual features, such as …

Standardized and quantified evaluation of machine behaviors is a crux of understanding
LLMs. In this study, we draw inspiration from psychometric studies by leveraging human …

It has been a hot research topic to enable machines to understand human emotions in
multimodal contexts under dialogue scenarios, which is tasked with multimodal emotion …

Many of the world's leading brands and increasingly government agencies are using
intelligent agent technologies, also known as chatbots to interact with consumers. However …

Throughout history, scholars and laypeople alike have believed that our words contain
subtle clues about what we are like as people, psychologically speaking. However, the ways …

This paper develops a unified framework to synthesize the growing stream of positive
research on the role of individual decision makers in sha** observed accounting …

Highlights What are the main findings? First, the combination of the methods of machine
learning with psychological methods to predict the user's OCEAN personality model could …

In e-commerce, user reviews can play a significant role in determining the revenue of an
organisation. Online users rely on reviews before making decisions about any product and …