As large language models (LLMs) continue to advance, evaluating their comprehensive
capabilities becomes significant for their application in various fields. This research study …

Sentiment analysis is one of the traditional well-known tasks in Natural Language
Processing (NLP) research. In recent years, Pre-trained Models (PMs) have become one of …

Digital nomads are engaged in a complex quest to select their next destination. In this
context, user-generated content (UGC) on social media is a pivotal source to glean insights …

Training emotion recognition models has relied heavily on human annotated data, which
present diversity, quality, and cost challenges. In this paper, we explore the potential of …

Recently, extensive research in the field of financial sentiment analysis has been conducted.
Sentiment analysis (SA) of any text data denotes the feelings and attitudes of the individual …

Cyberbullying is a serious issue in online social media platforms (OSMP), which requires
effective detection and intervention systems. Multimodal emotion recognition (MER) …

The learning status of students directly influences their learning outcomes. Course
evaluations by students offer valuable insights into the effectiveness of teaching …

Data integration combines information from different sources to provide a comprehensive
view for making informed business decisions. The ETL (Extract, Transform, and Load) …

In the past few years, ChatGPT has evolved into a powerful NLP technology, with
applications ranging from text generation to question resolution. However, there is still …

Using artificial intelligence, this article explores the intricate dynamics between ideologies,
emotions, and political preferences of the electorate in Turkey. Utilizing a dataset of one …