Analyzing and understanding the sentiments of social media documents on Twitter,
Facebook, and Instagram has become a very important task at present. Analyzing the …

Rapid technological developments in the last decade have contributed to using machine
learning (ML) in various economic sectors. Financial institutions have embraced technology …

Recently, transformer models have gained significance as a state-of-the art technique for
sentiment prediction based on text. Attention mechanism of transformer model speeds up …

Abstract Smart Border Control (SBC) technologies became a hot topic in recent years when
the European Union (EU) Commission announced the Smart Borders Package to improve …

While the ethical principles of finance are well known in the literature, they are not
sufficiently evaluated in the context of machine learning (ML). We use natural language …

Sentiment analysis is the process of extracting and analyzing opinions, attitudes, and
emotions expressed in text data. Due to the increased amount of user-generated content on …

Recent advances in the technology have led to an exponential growth in the e-commerce
business. Users today prefer online shopping to legacy shopping methods in order to save …

Although the internet is a vast source of information, caution must be exercised to avoid
accessing harmful content. The abundance of clinical data scattered across numerous …