GPT (Generative Pre-trained Transformer) represents advanced language models that have
significantly reshaped the academic writing landscape. These sophisticated language …

Abstract The realm of Natural Language Processing and Text Mining has seen a surge in
interest from researchers in hate speech detection, leading to an increase in related studies …

This study presents a thorough examination of various Generative Pretrained Transformer
(GPT) methodologies in sentiment analysis, specifically in the context of Task 4 on the …

User modeling (UM) aims to discover patterns or learn representations from user data about
the characteristics of a specific user, such as profile, preference, and personality. The user …

Large Language Models (LLMs) such as ChatGPT possess advanced capabilities in
understanding and generating text. These capabilities enable ChatGPT to create text based …

A substantial portion of offensive content on social media is directed towards women. Since
the approaches for general offensive content detection face a challenge in detecting …

This research confronts the persistent challenge of data scarcity in medical machine
learning by introducing a pioneering methodology that harnesses the capabilities of …

The prevalence of offensive content on online communication and social media platforms is
growing more and more common, which makes its detection difficult, especially in …

Classifying medical reports written in Hebrew is challenging due to the ambiguity and
complexity of the language. This study proposes Text Test Time Augmentation (TTTA), a …

The rapid proliferation of hate speech on social media poses significant challenges to
maintaining a safe and inclusive digital environment. This paper presents a comprehensive …