Researchers and practitioners have attempted to predict the financial market by analyzing
textual (eg, news articles and social media) and numeric data (eg, hourly stock prices, and …

Sentiment analysis has become an important task in natural language processing because it
is used in many different areas. This paper gives a detailed review of sentiment analysis …

Social media has been embraced by different people as a convenient and official medium of
communication. People write or share messages and attach images and videos on Twitter …

Purpose This study aims to understand a customer-purchase mechanism in the artificial
intelligence (AI)-powered chatbot context based on the elaboration likelihood model (ELM) …

Although machine learning classifiers have been successfully used in the medical and
engineering fields, there is still room for improving the predictive accuracy of model …

Artificial Intelligence (AI) is increasingly being employed in critical decision-making
processes such as medical diagnosis, credit approval, criminal justice, and many more …

The current research aims to launch effective accounting fraud detection models using
imbalanced ensemble learning algorithms for China A‐Share listed firms. Based on a …

Today, educational institutions produce large amounts of data with the deployment of
learning management systems. These large datasets provide an untapped potential to …

Stock price prediction is a complex and challenging activity for organizations and investors
to predict future returns. While machine learning and deep learning methods are widely …

Technology merger and acquisition (M&A) is an important way for companies to enhance
their innovation capabilities, and it is important to clarify the factors that affect the innovation …