Recently deep learning methods have achieved great success in understanding and
analyzing text messages. In real-world applications, however, labeled text data are often …

Many people around the world have witnessed various repercussions caused by the COVID-
19 pandemic, such as a decline in industrial activities and business closures. A notable …

Flight cancellations can negatively impact passengers and airlines by causing stress, time
loss, financial losses, and providing a disruptive travelling experience. Airlines pay for …

Purpose This study develops a computational method to investigate the predominant
language styles in political discussions on Twitter and their connections with users' online …

Politeness plays a key role in social communications. Previous work proposed an SVM-
based computational method for predicting politeness using linguistic features on a corpus …

Descriptive pattern mining is a useful tool in expansion of knowledge. One such area of
descriptive pattern mining is that of sequential pattern mining. In sequential mining, items …

In this paper, we use machine learning methods based on three popular open-source large
language models (LLMs) that can run efficiently on local computers to recognize and predict …

Formality is an important characteristic of text documents. The automatic detection of the
formality level of a text is potentially beneficial for various natural language processing tasks …