In this paper, we explore the effectiveness of the GPT-3 model in tackling imbalanced
sentiment analysis, focusing on the Coursera online course review dataset that exhibits high …

Abstract Harmful Twitter Bots (HTBs) are widespread and adaptable to a wide range of
social network platforms. The use of social network bots on numerous social network …

Twitter has emerged as a platform that produces new data every day through its users which
can be utilized for various purposes. People express their unique ideas and views on …

The Covid-19 pandemic has accelerated the shift in organizations' strategies toward
innovative online services. Customer reviews on platforms for online ordering and delivery …

Social commerce is a digital and efficient solution to transform existing commerce and
address contemporary issues. TikTok Shop, a popular and trending social commerce …

Sentiment analysis (SA) is a popular method for obtaining relevant and subjective
information from textual information. Multimedia material, such as photos, text, videos, and …

Globally, cancer is the second‐leading cause of death after cardiovascular disease. To
improve survival rates, risk factors and cancer predictors must be identified early. From the …

Advances in digital technology have changed the way people interact and access
information, including in education. One educational event that has caught the public's …

Imbalanced datasets are common in practical applications, and oversampling methods
using fuzzy rules have been shown to enhance the classification performance of imbalanced …

Sentiment analysis is crucial in understanding public opinions and attitudes on social media
platforms. However, dealing with imbalanced datasets, especially in the context of Arabic …