Sentiment analysis is a task of natural language processing that has recently attracted
increasing attention. However, sentiment analysis research has mainly been carried out for …

Social media sentiment applied in the stock market is extracted from social media platforms
and researchers have grappled with the way it influences different stock market features like …

Having considered that website has becoming an essential platform to communicate,
exchange of information and enabling transactions for organizations, making it accessible to …

Author keywords for scientific literature are terms selected and created by authors. Although
most studies have focused on how to apply author keywords to represent their research …

Topic modelling is a powerful text mining tool that has been applied in many fields such as
software engineering, political and linguistic sciences. To evaluate the development of topic …

Sentiment analysis is an increasingly evolving field of research in computer science. With
the considerable number of studies on innovative sentiment analysis available, it is worth …

Artificial Intelligent (AI) applications in e-health have evolved considerably in the last 25
years. To track the current research progress in this field, there is a need to analyze the most …

Recently, graph neural networks (GNNs) have become a hot topic in machine learning
community. This paper presents a Scopus-based bibliometric overview of the GNNs' …

In recent years, research on green consumption has grown at an exponential rate. Because
this field of study has seen such rapid growth, research hotspots have been constantly …

The tourism sector has been one of the most impacted by the COVID-19 pandemic, due to
restrictions on mobility and fear of social contact. In this context, business innovation through …